ai content case study

AI Content Case Studies

Unilever’s success with ai-driven content: a case study, 💄 unilever’s ai-driven approach to marketing and product descriptions.

Unilever, a global leader in consumer goods, has harnessed the power of artificial intelligence (AI) to enhance its marketing strategies and boost customer engagement. This case study explores how Unilever utilizes AI to revolutionize its marketing processes, streamline operations, and maintain a consistent brand voice across various platforms.

AI-Driven Marketing Copy and Email Responses

Unilever has implemented AI solutions, specifically leveraging the GPT-3 model, to automate the creation of marketing copy and customer email responses.

This initiative has reduced the time required for drafting responses by over 90%, significantly enhancing the efficiency and productivity of their marketing teams. By using AI, Unilever ensures that all communications maintain a consistent tone and voice, which is essential for brand coherence and customer satisfaction.

Product Descriptions and E-Commerce Optimization

In addition to automating email responses, Unilever utilizes AI to generate product descriptions for online retail platforms like Amazon. This AI-driven approach produces compelling and informative descriptions that align with the brand’s tone, ensuring a seamless and engaging shopping experience for customers.

As a result, Unilever not only improves product visibility but also boosts customer engagement and drives sales.

Enhancing Consumer Insights and Personalization

Unilever’s use of AI extends beyond content creation to advanced consumer insights and personalization. By analyzing vast amounts of data from various sources, AI enables Unilever to predict consumer trends and preferences, allowing the company to tailor its marketing strategies more effectively.

This data-driven approach ensures that campaigns resonate with the target audience, leading to higher engagement and conversion rates.

Improving Operational Efficiency

AI plays a vital role in optimizing Unilever’s operational efficiency. By integrating AI into their supply chain and manufacturing processes, Unilever can swiftly respond to market changes and consumer demands. This agility is crucial for maintaining a competitive edge in the fast-paced consumer goods industry. The use of AI streamlines operations, reduces costs, and enhances overall productivity.

Case Studies and Results

The implementation of artificial intelligence solutions at Unilever has delivered impressive results across several key areas of the business.

Below is data that highlights how AI has transformed the company’s operational and marketing processes , boosting efficiency, personalization, and overall performance.

Email Response Automation

Unilever’s implementation of AI for handling customer emails has led to a 90% reduction in response times , allowing the customer service team to focus on more complex queries and enhancing overall customer satisfaction.

Product Description Generation

By using AI to create product descriptions, Unilever has maintained a consistent brand voice across different platforms , improving product visibility and sales.

Consumer Insights

AI-driven consumer insights have enabled Unilever to anticipate market trends and personalize marketing efforts, resulting in more effective campaigns and better ROI.

Future Prospects

Unilever continues to invest in AI technologies to drive both innovation and sustainability.

The company’s recent establishment of an AI lab in Canada demonstrates its commitment to leveraging advanced technologies for future growth. This lab is dedicated to tackling significant challenges and exploring new AI applications across various business functions.

In conclusion, Unilever’s use of AI in marketing and product descriptions showcases how technology can transform traditional business processes , resulting in greater efficiency, personalization, and overall success. By embracing AI, Unilever not only enhances its marketing capabilities but also sets a benchmark for other companies looking to integrate advanced technologies into their operations.

👉🏻 90% reduction in response time thanks to email automation with AI.

👉🏻 Advanced personalization of marketing campaigns based on data analytics with AI.

👉🏻 15% increase in conversion rates using Persado AI platform to personalize ads.

Results in Numbers

• By automating email responses with AI, Unilever has achieved a significant reduction in response times. 90% 90%
• Utilizing AI for personalized marketing has led to a 15% increase in conversion rates. 15% 15%
• AI integration in supply chain and manufacturing has greatly enhanced operational efficiency. 85% 85%
• Advanced consumer insights and personalized marketing strategies have improved customer engagement significantly. 80% 80%
• AI-generated product descriptions have improved product visibility and sales performance. 70% 70%
• Digital modeling and in silico testing have sped up product development processes considerably. 75% 75%

Related products

Email Marketing Campaign Plan

X [Twitter] Social Media Content Plan

Monthly Blog Content Plan

LinkedIn Social Media Content Plan

Pepsico’s success in leveraging ai: a case study, 🥤 pepsico case study: leveraging ai for innovation and efficiency.

PepsiCo has effectively harnessed the power of AI across various facets of its operations, significantly enhancing its marketing, product development, and manufacturing processes. The company utilizes AI tools such as Tastewise and Trendscope to gather and analyze consumer data, enabling the creation of innovative products and more effective marketing strategies.

Key AI Tools and Their Applications

Purpose : Analyzes vast amounts of food data online to understand consumer preferences and emerging food trends.

Application : Helped identify the potential of seaweed-flavored snacks, leading to the successful launch of the Off The Eaten Path brand, which became a top seller.

Purpose : Monitors social media conversations to predict trends and consumer interests.

Application : Identified the sustained interest in immunity-boosting beverages during the pandemic, leading to the launch of Propel sports drinks infused with immunity ingredients.

Purpose : Utilizes extensive data on U.S. households and retail outlets to personalize marketing efforts and optimize advertisements.

Application : Enabled PepsiCo to test ads on 2.5 times more customers before launching them, ensuring higher impact and efficiency.

Purpose : Guides retail strategies by advising on product placements and promotions based on data analysis.

Application : Played a crucial role in the successful launch of Quaker Overnight oats, with targeted customers accounting for 80% of first-year sales.

PepsiCo’s use of AI has significantly improved various aspects of its operations, driving innovation, efficiency, and substantial cost savings. Below are some of the key benefits realized through their strategic AI implementation.

Reduced Time to Market

AI tools have cut down the product development cycle from years to months by providing real-time insights and automating research processes.

Cost Savings

Improved manufacturing processes using AI have led to significant savings, such as over $1 million annually from optimized potato peeling and reduced waste in Cheetos production .

Enhanced Marketing Efficiency

Personalized marketing through Ada AI has increased the reach and effectiveness of advertisements , leading to better consumer engagement and higher sales.

Sustainability

AI applications in agriculture and manufacturing have helped PepsiCo reduce water consumption and improve overall environmental sustainability.

Revenue Growth

The integration of AI has driven significant productivity improvements , contributing to a $1 billion increase in productivity since 2019.

PepsiCo’s strategic adoption of AI technologies has revolutionized its operations, from product development to marketing and manufacturing. These innovations have not only enhanced efficiency and reduced costs but also ensured that PepsiCo stays ahead in understanding and meeting consumer needs.

The success stories from AI implementations at PepsiCo highlight the transformative potential of AI in driving business growth and maintaining competitive advantage in the market.

These case studies exemplify the significant benefits that can be achieved through AI, providing a roadmap for other companies looking to innovate and optimize their processes.

👉🏻 Reduced product development cycle from years to months using AI tools like Tastewise and Trendscope.

👉🏻 Annual savings of over $1 million by optimizing the potato peeling process with AI.

👉🏻 80% of first-year sales for Quaker Overnight driven by targeted marketing with Pep Worx.

👉🏻 Increased ad efficiency by testing ads on 2.5 times more customers using Ada AI.

👉🏻 $1 billion improvement in productivity since 2019 through AI implementation.

Instagram Social Media Content Plan

Vanguard’s use of ai for marketing success: a case study, 💸 vanguard: leveraging ai for marketing success.

Vanguard is one of the world’s largest investment management companies, managing assets worth over $7 trillion globally. The Vanguard Institutional division primarily serves retirement plan sponsors, ensuring that their clients receive the most relevant and effective content.

Operating in the highly regulated financial industry, Vanguard needed to stand out in a crowded market. They required a solution to personalize their marketing messages effectively, particularly on LinkedIn, their primary social media platform for B2B marketing.

Vanguard partnered with Persado, an AI-driven platform that specializes in creating personalized marketing messages. Persado uses natural language processing and machine learning to generate and optimize content that resonates with specific audiences.

Implementation

AI Experimentation : Persado’s platform generated various versions of Vanguard’s LinkedIn messages, identifying the most effective phrases and emotional triggers to engage their audience.

Data-Driven Insights : The AI analyzed message components and provided data-driven insights, allowing Vanguard to refine their content continuously.

Personalization at Scale: Persado’s technology enabled Vanguard to deliver personalized content that was both relevant and compliant with industry regulations.

Key Benefits and Results

The implementation of artificial intelligence solutions at Vanguard has yielded remarkable results in various key areas of their business.

Below are some data that illustrate how AI has transformed the company’s operational and marketing processes , enhancing efficiency, personalization, and overall performance.

Increased Conversion Rates

Vanguard achieved a 15.76% increase in click-through rates on their LinkedIn campaigns , resulting in higher conversion rates.

Enhanced Customer Engagement

The personalized messages fostered stronger connections with clients, improving overall engagement with their marketing efforts.

Regulatory Compliance

All personalized marketing messages remained compliant with financial industry regulations , ensuring adherence to legal standards.

Vanguard continues to explore AI’s potential in enhancing their marketing strategies. The success with Persado demonstrates the significant impact of AI-driven personalization, suggesting further integration of AI technologies in their marketing efforts.

👉🏻 15.76% increase in click-through rates on LinkedIn campaigns.

👉🏻 Enhanced customer engagement with personalized marketing messages.

👉🏻 Utilized AI to generate and optimize marketing content effectively.

👉🏻 Demonstrated innovation in financial services marketing through AI.

AI-Driven Content at Forbes: A Case Study

💸 forbes: transforming content creation with ai.

Forbes is a global media company that produces a wide range of content, including business, technology, and finance. As a leader in digital media, Forbes continually seeks innovative solutions to enhance its content creation processes.

To maintain a competitive edge and keep up with the fast-paced demands of digital content, Forbes needed a solution to produce high-quality content quickly and efficiently. Traditional methods were not scalable enough to meet these demands without compromising quality.

Forbes implemented an AI-powered content generation tool called Bertie. This tool uses natural language processing (NLP) algorithms to assist writers by suggesting headlines, proposing topics, and even providing rough drafts that writers can build upon. Bertie helps streamline the editorial process by automating routine tasks and allowing writers to focus on more creative and high-impact work.

AI-Driven Topic Suggestions : Bertie analyzes data points, such as audience behavior and social media trends, to recommend relevant topics for writers to cover.

Rough Draft Generation : The tool provides writers with initial drafts that include links to relevant resources and images, which can serve as a starting point for creating articles.

Content Optimization : Bertie also helps optimize content for search engines, ensuring that articles are both engaging and SEO-friendly.

Key benefits and Results

The implementation of artificial intelligence solutions at Forbes has yielded remarkable results in various key areas of their business.

Increased Content Production

Forbes has significantly increased its content output , producing more articles in less time without sacrificing quality.

Enhanced Writer Efficiency

By automating the initial stages of content creation, writers can focus on refining and enhancing the content , making their workflow more efficient and less time-consuming.

Improved SEO Performance

AI-driven content optimization has led to better search engine rankings , driving more traffic to Forbes’ website.

Forbes plans to continue leveraging AI to further enhance its content creation capabilities. The successful implementation of Bertie demonstrates the potential of AI to revolutionize the editorial process, suggesting a broader adoption of AI technologies across various content creation activities in the future.

👉🏻 Increased content production without compromising quality.

👉🏻 Enhanced writer efficiency with AI-generated rough drafts.

👉🏻 Improved SEO performance , driving more website traffic.

👉🏻 Streamlined editorial process with automated topic suggestions.

👉🏻 Maintained high-quality standards through AI optimization.

Contact Us Now

I agree to the privacy policy

• November 30th, 2023

In the whirlwind world of digital marketing, AI in Content Creation has exploded as a groundbreaking tool, reshaping how we produce and distribute content. By leveraging the power of artificial intelligence, brands are crafting narratives with unprecedented speed and precision.

It’s not just the speed, though; it’s the profound impact on quality and relevance that positions AI as an indispensable ally. Through case studies, we uncover the vibrant tapestry of success stories laying out the real-world efficiency of these AI-driven approaches. These stories not only inspire but also serve as beacons guiding us through the evolving terrain of digital content creation, especially as AI and SEO Content become increasingly intertwined.

Understanding the Role of AI in Content Creation

At the core of modern content production, artificial intelligence has become the ingenious architect, streamlining a myriad of processes that once bogged down creators. AI’s role extends beyond simple automation; it’s about enhancing creativity and delivering tailored content to audiences at scale. With the aid of diverse AI for Content Translation tools, language barriers are crumbling, allowing brands to communicate with global audiences as effortlessly as if they were next door neighbors.

Moreover, AI algorithms possess the uncanny ability to sift through data and trends, formulating AI and Content Strategy that resonate with target demographics. This strategic application of AI not only ensures relevance but also personalizes the user experience, leading to higher engagement rates. As technology evolves, the integration of AI in content creation becomes a pivotal element in constructing narratives that are both compelling and conversion-focused, twice affirming its indispensable status in the content creator’s toolkit.

Breaking Down AI Content Creation Case Studies

Peeling back the layers of AI’s involvement in the content realm, we arrive at a fascinating collection of AI Content Creation Case Studies . These narratives are not just stories—they are a testament to innovation and strategic implementation across various industries. From startups to established giants, you’ll find insights into how AI has revolutionized the content creation process, all brought to life through detailed recounting of real-life scenarios.

We’ll explore how brands harness AI for Social Media Content , producing posts that drive user engagement through the roof. These case studies will serve as a blueprint for understanding the transformative power AI wields in crafting targeted and interactive content. So buckle up, as we dive into each case, unpacking the methods and metrics behind AI-fuelled success stories in content creation.

Exploring Success Stories in AI-Driven Content Production

The blossoming era of AI content creation has ushered in numerous success stories that are nothing short of inspiring. Organizations and individuals alike have tapped into the wealth of AI’s capabilities, resulting in phenomenal content outcomes and formidable competitive advantages. Below, we delve into a curated selection of those triumphs, measuring the tangible impact brought by intelligent automation and AI in Copywriting .

These examples vividly illustrate the potential for AI to not just enhance but revolutionize content creation. Whether boosting user engagement through data-driven personalization or reducing the operational overhead of producing fresh, SEO-friendly content, the success stories above demonstrate that, when executed with a well-devised strategy, AI’s role in content production is indeed a game-changer. These case studies underscore AI’s robustness in creating rich, optimized content while highlighting its effectiveness twice, marking a new dawn for the content industry.

Insights Gained from AI Content Creation Case Studies

Personalization at scale is the new standard.

The first and perhaps most striking insight is the transformative effect of personalization. AI has enabled brands to tailor content to individual preferences and behaviors like never before. This strategy not only meets but exceeds customer expectations, fostering loyalty and driving conversion rates. Through AI in Email Marketing , companies can automate and personalize messaging to an unprecedented degree, which has proven to enhance engagement in case studies examined.

Efficiency Meets Quality in Content Production

Another important insight is the symbiotic relationship between efficiency and quality. AI content creation tools have demonstrated that reducing time spent on content production doesn’t mean sacrificing quality. With advancements in AI, creators can now turn around high-quality, SEO-friendly pieces faster than ever, allowing businesses to keep pace with the demand for fresh, relevant content.

Overcoming the Content Volume Challenge with AI

Facing the immense pressure of producing voluminous high-quality content, many enterprises encounter scalability challenges. AI content creation enables businesses to overcome this hurdle, as evident from the case studies showing how digital news outlets use AI to maintain a steady stream of engaging content. The introduction of AI in News Writing has particularly demonstrated the potential to keep up with the 24/7 news cycle without compromising the richness of editorial content.

Embracing AI and Data-Driven Content Strategy

The need for robust data analysis to guide content strategy is another major lesson from our case studies. Leveraging the predictive analytics and trend-spotting capabilities of AI enables the creation of content that not just resonates with the present audience but also anticipates future shifts. This data-driven approach has been central to the success stories we’ve analyzed, as it powers a deeply insightful content strategy that aligns with user interests and behaviors.

In essence, these insights distilled from AI content creation case studies reflect a growing trend where AI is not a mere luxury but a necessity for competitive content strategy. The lessons learned underscore the need for blending intelligent technology with creative processes to produce content that is both effective and efficient. It’s a journey fraught with challenges, such as maintaining the human touch in automated content and ensuring ethical use of data, but the benefits, as the case studies articulate, are more than worth the pursuit.

Conversation with Experts: Perspectives on AI Content Creation

Gathering insights from the front lines, we spoke with thought leaders and seasoned practitioners about the burgeoning influence of AI on content creation. Dr. Jane Smith, a renowned AI researcher, believes that “AI presents a seismic shift in the content realm. It’s not replacing creativity but augmenting it, allowing us to reach unprecedented heights in personalization and relevance.” Such insights underscore the potential of AI as a powerful ally in content strategy.

Conversations with industry professionals reveal a consensus around AI’s pivotal role. According to Marcus Johnson, a digital strategy consultant, “The implementation of AI tools has become the cornerstone of competitive content marketing. It’s about optimizing the content lifecycle and delivering data-driven experiences.” Their observations extend to the growing importance of AI for Content Moderation , highlighting how AI is becoming instrumental in maintaining content quality and community standards at scale.

While experts extol AI’s capabilities, they also emphasize the ethical dimensions of such technology. Sarah Lopez, a content strategist and ethics advocate, remarks, “As we embrace AI, we must also engage with the Ethical Considerations of AI Content . The goal is to use these tools responsibly, ensuring transparency, fairness, and respect for user privacy.” This emphasis on ethical practice indicates a maturing industry cognizant of its influence and responsibilities in today’s digital landscape.

Overall, the expert perspectives paint a picture of AI content creation as a transformative force buoyed by innovation, yet grounded by a commitment to ethical considerations. Each interview reflects growing excitement tempered with cautious optimism, a balance advocating for the mindful use of AI in the quest to craft compelling, captivating, and responsible content.

Future Trends in AI Content Creation

• Emergence of AI-Generated Interactive Experiences: As we’ve seen AI elevate static content to dynamic engagement, the future holds an even greater promise for AI and Interactive Content . Imagine AI crafting personalized, interactive stories or educational content that adapts to the reader’s responses and evolves in real-time.
• Advancements in Natural Language Generation (NLG): AI’s linguistic capabilities are expected to grow more sophisticated, leading to hyper-realistic, context-aware content production. The nuanced understanding of different dialects and idioms will further tailor the content to reflect cultural subtleties.
• AI Augmented Creative Design: Beyond textual content, AI is predicted to make significant strides in visual and multimedia content creation, helping to design stunning graphics, videos, and virtual environments with minimal human input.
• Autonomous Content Decision-Making: Leveraging past performance data, AI might soon not just create content but decide when and where to publish it for maximum impact. This could revolutionize content scheduling and distribution strategies.
• Data Privacy with AI: As consumers become more data-conscious, AI will need to evolve to generate compelling content without compromising individual privacy, thus ensuring ethical considerations are built into content strategies.
• Evolution of AI Content Monetization Strategies: The Future of AI in Content Creation also brings potential shifts in how content is monetized, possibly fostering new revenue models that reward personalized and engaging content experiences.

These anticipated trends suggest that the case studies of today are just the precursor to an AI-infused content ecosystem rich with innovation. As we stand on the cusp of these advancements, the possibilities for content creation and strategy seem limitless, heralded by the intelligent, ethically-guided use of AI technologies.

Conclusion: AI Content Creation Case Studies Propel Industry Forward

The journey through these diverse AI content creation case studies underscores the transformative power of AI in the digital content domain. From personalizing email campaigns to automating news articles, we’ve seen quantifiable proof that leveraging AI not only enhances efficiency and engagement but also fosters innovation in storytelling. These case studies are more than just narratives; they are catalysts that drive the content creation industry toward a more dynamic, responsive, and personalized future.

As AI becomes deeply embedded in our approach to content, we are witnessing the rise of new frontiers, such as improving AI for Content Accessibility , ensuring that content reaches a wider audience, including those with disabilities. Moreover, the evolution of AI for Content Monetization strategies promises to unlock novel revenue streams, motivating creators and businesses to innovate continually. Thus, these success stories do much more than document the present; they inspire and lay the groundwork for an AI-augmented future in content creation, one where stories are not only told but brought to life in ways we’re just beginning to imagine.

Related Content

Latest from the blog, impersonation of president biden highlights election security concerns, sam altman at davos: a vision of ai’s future, from personalization to global impact, game changer: valve’s steam unleashes ai-powered game revolution with new rules, robots are coming for nearly half of our jobs – will yours be next, expert guide on ai and machine learning: comprehensive course insights, new ai tools.

AI Content Performance: 6 Case Studies and Results

Discover the power of AI content performance for SEO with these 6 case studies. From ranking on competitive terms to driving massive amounts of traffic.

Are you curious about the performance of AI-generated content for SEO?

Look no further! In this blog post, I will share five case studies that showcase the success of AI content used as content marketing.

From ranking on competitive SEO terms to driving millions of organic clicks, these examples demonstrate how AI can be a valuable tool in your content creation strategy.

Case 1: Pages ranking on Technical SEO term

In the first case example, we see two out of ten pages ranking for the Danish term "teknisk seo" are generated with artificial intelligence (AI).

Despite the competition on this classic SEO term, both of these AI-generated pages are performing well without any clear penalty from Google [link] as they rank on page 1.

One of them is created with ChatGPT, while the other is made with the SEO.ai platform.

Both are easily identifiable as AI content by OpenAIs AI text classifier/detector.

While it is true that AI detectors have a harder time identifying other languages than English, and Google's algorithm and spam preventions may be less strict in non-English languages, these examples still showcase the potential of AI-generated content for SEO.

Case 2: Bankrate.com drives massive amounts of traffic with AI content

Moving on to a more prominent example, Bankrate.com is a well-established website that has been utilizing AI content for a longer period.

The website employs AI to create responses to inquiries that have specific limitations, like "What Is Contribution Margin?" or "What is Financial Liquidity?"

According to some estimates I have seen, Bankrate.com has been driving hundreds of thousands of visits every month from its AI-generated content. This is a testament to the success of AI content when done right.

One of the reasons for this success is the authority of the domain.

Bankrate.com has been around for decades, accumulating strong backlink profiles and establishing itself as a reputable source of information. This means that Google trusts its content and is more likely to rank it higher in search results.

Additionally, Bankrate.com employs subject matter experts to review and edit their AI-generated content before publishing.

This ensures that the content is fact-checked, corrected, streamlined, and sometimes slightly rewritten before it goes live. This human touch adds credibility and value to the content, making it more appealing to both users and search engines.

Bankrate also follows Google's policy on identifying AI-generated content , allowing users to easily identify it as such.

Case 3: Ranking on "Automatic Writing tools" with a classic wall-of-text AI content piece

In the second case study, we take a closer look at our own page targeting the keyword " Automatic Writing tools ".

Despite ranking only at #10 for this keyword, the page is still on the coveted first page of the search results.

While the SEO score of the page may be decent, it might not necessarily meet the search intent of the users looking for this keyword.

The page presents itself as a wall-of-text, which may not be the most digestible format for users.

Additionally, the page lacks internal links, which could be improved to boost its ranking further, as well as an optimised title might help rankings (it was made before we released our feature for this).

Despite these shortcomings, the page is not penalized by Google's algorithm. Instead, it simply does not rank as highly as other pages that better meet the search intent for this keyword. This example goes to show that AI-generated content can still have a positive impact on SEO, even if it may not always result in a #1 ranking.

Case 4: 59% increase in CTR scores with AI made headlines

At TV 2 Fyn, a Danish news outlet, the use of AI-generated headlines has resulted in a 59% increase in click-through rates (CTR) .

The outlet employed Open AI's ChatGPT chatbot to generate headlines for their articles, which were then A/B tested against human-generated headlines.

During the three-week testing period, ChatGPT was fed both whole articles and article summaries and asked to generate a number of potential headlines. If the initial suggestions did not work, adjustments were made until a suitable headline was found. The resulting headlines were then A/B tested using Chartbeat data to determine their success rate.

Interestingly, in 46% of the A/B tests conducted, the AI-generated headlines outperformed the human-generated ones.

This result suggests that AI-generated content can have a positive impact on CTR, and that it may be worthwhile for other news outlets to explore its use.

However, it's important to note that the study had a relatively small sample size, and more research is needed to make definitive conclusions about the effectiveness of AI-generated content.

Additionally, it should be noted that the original human-generated headlines had a slight advantage over the AI-generated ones, with a 51.2% success rate in A/B testing.

Case 5: Generating millions of visits with AI content at scale on new domain (unverified)

I recently came across an intriguing case study that claims to demonstrate the potential of AI-generated content on new domains.

According to the case study, Koray Gübür was able to generate millions of visits to a new domain using AI-generated content.

While the specifics of the domain and content are not disclosed, this case is worth exploring further as it suggests that AI-generated content can still perform on new domains.

The case study claims that Gübür used an AI tool to create content for a brand new domain. The AI tool was able to produce high-quality, unique content at scale, which Gübür then published on the domain. Within a short period of time, the domain began to receive significant traffic, ultimately resulting in millions of visits.

While the case study is intriguing, it's important to note that I have not been able to verify or audit this example. Nevertheless if true, this case study provides an interesting example of the potential for AI-generated content to drive traffic to new domains if its done at scale.

Case 6: Ranking with junk content thanks to domain authority

My colleague Daniel recently wrote about The Verge's use of AI-generated content to produce a blog post titled "Best printer 2023: just buy this Brother laser printer everyone has, it’s fine."

Despite the post being written entirely by ChatGPT, the page managed to rank highly on Google due to The Verge's high domain authority and strong backlink profile.

While the post was not meant to be taken seriously and was written in a sarcastic and humorous tone, it still managed to rank on a highly competitive search string.

This goes to show that domain authority and backlinks play a major role in search engine rankings, even for AI-generated content that may not be of high quality.

It's important to note, however, that content that does not meet the search intent of users most likely over time will not perform well, as Google is able to spot user signals (eg. users visiting the site and then leaving straight away again to go back and try another of the search results. This is also called pogo sticking in SEO terms.).

It is worth mentioning that content which fails to satisfy the search purpose of users is unlikely to succeed in the long run, as Google can detect signals from users (such as when they quickly leave the site and return to try a different search result, which is referred to as pogo sticking in SEO jargon).

Metrics used to measure AI content performance

When measuring the performance of AI-generated content, there are a few key metrics that can be used for measurement.

Firstly, rankings in the search engine results pages (SERPs) on different keywords can be a good indicator of how well the content is performing. If the AI-generated content is ranking highly for relevant keywords, it suggests that the content is resonating with users and is providing value.

Another important metric to consider is the amount of traffic, sessions and page views generated by the AI-generated content.

If access to the data is available, it's also possible to measure the success of AI-generated content in terms of conversions or time on site. If users are spending a long time on a website or are converting into customers at a high rate, it suggests that the content is providing value and is driving user engagement.

What factors impact the success of AI-driven content?

There are several factors that can impact the success of AI-driven content:

• Quality of the AI-generated content : The quality of the content produced by the AI tool will ultimately determine its success. If the content is poorly written or doesn't provide value to users, it's unlikely to perform well. Using the newest tools and LLMs like GPT4 [link] will ensure this.
• Relevance of the content : The content produced by the AI tool must be relevant to the target audience and provide them with useful information. If the content is off-topic or doesn't match the reader's intent, it's unlikely to perform well. Thats why keyword research and understandings search intents are crucial.
• Optimization for search engines : AI-generated content must be optimized for search engines to perform well in the SERPs. (note, thats why we built SEO.ai ) This includes using relevant keywords, optimizing title tags and meta descriptions, and ensuring the content is structured properly.
• User engagement : Ultimately, the success of AI-generated content will be determined by how engaged users are with the content. If users are spending time on the page, sharing the content, and engaging with it in other ways, it's a sign that the content is resonating with them and providing value.

What types of cases might we see in the future?

We will for sure more cases in the future demonstrating the success of using AI in SEO and content generation. Some potential cases we might see in the future include:

• AI-generated social media content that leads to increased engagement and brand awareness
• Personalized AI-generated videos that drive higher conversion rates and customer retention
• AI-generated benchmark reports that provide valuable insights for businesses and industry professionals
• AI-generated reporting that helps journalists and media outlets quickly gather and analyze data for news stories.

Overall, the possibilities for using AI in content generation and SEO are endless, and we can expect to see more innovative use cases emerge as the technology continues to evolve.

Want to try the #1 AI Writer for SEO Copywriting?

Create anything from blog posts to product descriptions with 1-click AI drafts or our chat assistant. Powered by a next-gen SEO engine that ensures your content actually ranks. Try it now with a free trial→

This is an article written by:

The Content Team is comprised of several SEO.AI staff members, augmented by AI. We share a deep passion for all things AI, with a particular emphasis on SEO-related topics

» See all articles

» X (Twitter)

Join +75.000 others for monthly insights on SEO and artificial intelligence. Crafted by industry experts.

Thanks for signing up for more insigths!

Explore more insights

Zendesk vs HubSpot: Which CRM is Best in 2025?

Zendesk vs ServiceNow: Find the One for Your Webshop (2025)

Zendesk vs Freshdesk: Which is Best for Ecom Support in 2025?

Other related articles, top 100 trending dropshipping products of 2025, top 10 intercom alternatives for live chat in 2025, 12 zendesk alternatives: top customer support for online shops, the 12 best inventory management software for shopify in 2025, podcast episodes & interviews.

Is SEO Spam Harming Google Search Results in 2025?

Should AI-generated content be labeled or not on my website?

Bastian Grimm: Embrace a Multisensory Approach in AI and SEO

• Digital Marketing
• Facebook Marketing
• Instagram Marketing
• Ecommerce Marketing
• Content Marketing
• Data Science Certification
• Machine Learning
• Artificial Intelligence
• Data Analytics
• Graphic Design
• Adobe Illustrator
• Web Designing
• UX UI Design
• Interior Design
• Front End Development
• Back End Development Courses
• Business Analytics
• Entrepreneurship
• Supply Chain
• Financial Modeling
• Corporate Finance
• Project Finance
• Harvard University
• Stanford University
• Yale University
• Princeton University
• Duke University
• UC Berkeley
• Harvard University Executive Programs
• MIT Executive Programs
• Stanford University Executive Programs
• Oxford University Executive Programs
• Cambridge University Executive Programs
• Yale University Executive Programs
• Kellog Executive Programs
• CMU Executive Programs
• 45000+ Free Courses
• Free Certification Courses
• Free DigitalDefynd Certificate
• Free Harvard University Courses
• Free MIT Courses
• Free Excel Courses
• Free Google Courses
• Free Finance Courses
• Free Coding Courses
• Free Digital Marketing Courses

10 Successful AI Marketing Campaigns & Case Studies [2024]

Are we on the brink of a marketing revolution where AI not only augments but fundamentally changes how we connect with customers? With predictions that the global value of AI in marketing could soar to an astonishing $108 billion by 2028, it’s clear that we are stepping into a future where AI is not just a tool but a transformative force reshaping the marketing landscape.

As AI continues to evolve, it paves the way for more creative, data-driven, and customer-centric marketing approaches, offering a competitive edge to businesses willing to embrace this technological advancement. The future of marketing, undoubtedly, lies in the intelligent integration of AI, making it an indispensable tool for marketers aiming to stay ahead in an increasingly digital world.

10 AI Marketing Campaigns That Show the Future of Digital Marketing

Case study 1: heinz a.i. ketchup.

Heinz Ketchup, a Kraft Heinz Company subsidiary, is an iconic brand in the ketchup market with over 150 years of history. Despite its market leadership, Heinz aimed to refresh its image and appeal to younger, tech-savvy demographics.

The campaign’s goal was to rejuvenate Heinz Ketchup’s brand image and connect with a younger audience interested in innovation and cultural trends, solidifying its position as the leading ketchup brand.

Related: Marketing Leadership Interview Questions

Heinz harnessed the growing interest in text-to-image AI, particularly DALL-E 2, for a creative marketing campaign. The campaign involved AI-generated images from unique prompts like “Renaissance Ketchup Bottle,” effectively maintaining Heinz’s identity across various imaginative scenarios. The campaign featured AI-generated visuals, interactive social media engagement, special edition bottles, and a metaverse art gallery, initially launched in Canada and the US before gaining global traction.

1. Global Reach : Achieved over 850 million earned impressions globally, vastly exceeding media investment by over 2500%.

2. Media Coverage : Garnered extensive coverage from top publications in trade, art, tech, and lifestyle sectors.

3. Social Media Engagement : Witnessed a 38% higher engagement rate compared to previous campaigns.

4. Brand Participation : Attracted involvement from brands like Ducati and Sportsnet, requesting their AI Ketchup image mashups.

1. Technology in Branding : Utilizing AI effectively boosts brand relevance among younger audiences.

2. Interactive Marketing : Audience participation enhances engagement and memorability.

3. Cultural Relevance : Keeping up with cultural trends is essential for brand longevity.

4. Global Appeal : Innovative approaches can resonate across international markets.

5. Brand Affirmation : Such campaigns reinforce Heinz’s position as the top ketchup brand.

Related: Performance Marketing Case Studies

Case Study 2: Nike’s AI-Driven “Never Done Evolving” Campaign

Company overview: nike.

Nike, a global leader in sportswear and athletic products, partnered with digital agency AKQA to create a groundbreaking advertising campaign. This campaign coincided with Nike’s 50th anniversary and Serena Williams’ retirement announcement.

The main goal was to honor Serena Williams’ legendary tennis career and illustrate her sports growth and evolution. The campaign aimed to merge technology with sports to create a unique tribute.

Using AI and machine learning, Nike and AKQA crafted a virtual simulation of a match between Serena Williams from two eras: her first Grand Slam victory in 1999 and her win at the 2017 Australian Open. This involved a detailed analysis of her gameplay, including aspects like shot selection, reaction times, and overall agility. The project created detailed avatars for each era of Serena, allowing for a virtual yet realistic depiction of how her style and skills evolved over the years.

1. Viewership Success : The virtual match, streamed on YouTube, attracted 1.7 million viewers, a substantial audience for such a unique concept.

2. Significant Engagement Growth : Compared to Nike’s standard content, this campaign achieved a 1,082% increase in organic views, indicating high audience engagement and interest.

3. Enhanced Sports Analysis : The campaign demonstrated the potential of AI in sports, providing a new way to analyze and interpret athletic performance and evolution.

1. Technology in Storytelling : The campaign exemplifies the effective use of AI and machine learning in storytelling, particularly in a sports context.

2. Engagement Through Innovation : Nike’s approach shows how innovative content can significantly increase audience engagement and interest.

3. Tribute to Athletes : The campaign serves as a model for how brands can creatively honor and celebrate the careers of iconic athletes.

Related: Branding vs Marketing Strategy: Key Differences

Case Study 3: Cosabella’s AI-Driven Email Marketing Transformation

Company: cosabella.

Cosabella, a luxury lingerie retailer, experienced a concerning plateau in sales after a period of steady growth. This situation prompted a strategic shift in their email marketing approach.

The primary objective was to revive and boost sales by enhancing the personalization and effectiveness of their email marketing campaigns.

Cosabella replaced its traditional digital ad agency with an AI platform from Emarsys. This technology allowed for the customization of emails sent to subscribers, leveraging shopper data to create highly personalized content and offers.

1. The campaign witnessed an immediate 4% uptick in email open rates.

2. There was a significant 60% increase in revenue generated through email marketing.

3.  Holiday Campaign Success : The “12 Days of Cosabella” campaign generated 40-60% more sales than the previous year without offering discounts, relying solely on personalized content.

1. Personalization is Key : Tailoring content to individual customer preferences significantly boosts engagement and sales.

2. Data Utilization : Leveraging customer data in a targeted approach to marketing can significantly enhance revenue generation.

3. Customer Insights : Deep insights into customer behavior and preferences, derived from AI analysis, can refine marketing strategies.

4. Adaptability : The importance of being open to new technologies like AI to stay competitive and relevant in the digital age.

Related: How Can CTO Use Video Marketing?

Case Study 4: Tomorrow Sleep’s Organic Traffic Growth

Tomorrow Sleep, a startup in the mattress, entered the market in mid-2017 with an innovative product: the first connected sleep system. However, despite having a groundbreaking product, Tomorrow Sleep struggled initially with its online presence, particularly in content creation, leading to suboptimal organic traffic on its website.

The mattress industry, dominated by established players, presented a significant challenge for Tomorrow Sleep in gaining visibility and organic traffic. By mid-2018, the company realized that its initial content strategy was ineffective in standing out in the crowded market. Their website was not engaging enough to attract and retain customers.

1. Content Strategy Overhaul : The strategy focused on creating engaging content to attract quality traffic, improve search rankings with relevant keywords, and increase website engagement.

2. MarketMuse Application : Leveraging MarketMuse, an AI-driven content strategy platform, the approach involved using MarketMuse Research for topic insights and frequency analysis in expert content, and MarketMuse Compete to spot content gaps and opportunities within the top 20 search results.

3. SEO Enhancement : This involved optimizing existing pages with targeted keywords and semantic terms, developing new SEO-friendly content, building external links for off-page optimization, and employing design elements to boost user engagement. The use of infographics also played a key role in enhancing content attractiveness and reach.

The collaborative efforts led to remarkable growth in Tomorrow Sleep’s organic traffic, achieving a 100-fold increase from 4K to 400K monthly visitors within a year. For primary topics, this significant boost positioned Tomorrow Sleep ahead of its largest competitor, Casper.  They achieved multiple positions on a single search engine results page (SERP), including the coveted featured snippet spot.

1. Content Optimization is Crucial : Optimizing web content for relevant keywords and user engagement is essential. Tomorrow Sleep’s success was partly due to optimizing their web pages for valuable keywords and semantic terms.

Related: Motivational Marketing Quotes

Case Study 5: Euroflorist’s AI-Driven Website Optimization

Company overview: euroflorist.

Euroflorist, a leading European online florist, recognized the need to enhance its website’s performance to stay competitive in the digital marketplace. As an established brand in the floral industry, Euroflorist faced the challenge of optimizing its online presence to improve customer experience and drive sales.

The primary objective was to increase the website’s conversion rates. This meant attracting more visitors and converting a higher percentage of these visitors into customers.

Euroflorist adopted an AI-driven approach to website optimization, leveraging massively multivariate testing. This strategy involved:

1. Using AI for Testing : Employing AI platforms like Evolv AI, which allowed for testing thousands of website variations.

2. Data-Driven Decisions : Utilizing AI to analyze user interactions and preferences, thereby making informed decisions about website design and content.

Related: Marketing Analytics Case Studies

Implementation

The implementation process included:

1. Identifying Key Variables : Pinpointing various website elements, such as layout, color schemes, call-to-action buttons, and product placement for testing.

2. Creating Variants : Developing multiple variants of the website, each with different combinations of the identified variables.

3. Deploying AI Testing: Using Evolv AI to test these variants with real-time website visitors simultaneously, gathering user behavior and preferences data.

4. Analyzing Results : Continuously analyzing the performance of each variant to determine which combinations yielded the highest conversion rates.

1. Conversion Rate Increase : Euroflorist achieved a 4.3% increase in website conversion rates.

2. Optimized User Experience : The website became more user-friendly and appealing to customers, resulting in a better shopping experience.

1. The Power of AI in A/B Testing : The case study demonstrates how AI can transform traditional A/B testing into a more dynamic and effective process, allowing for the simultaneous testing of numerous variables.

2. Data-Driven Website Design : AI-driven multivariate testing provides valuable insights into customer preferences, enabling businesses to make informed decisions about website design.

3. Continuous Improvement : AI testing allows for ongoing optimization, as the AI continuously learns from user interactions, leading to progressively better website performance.

Related: Marketing Leader’s Hobby Ideas

Case Study 6: Starbucks Personalized AI Marketing 

Starbucks, an internationally renowned coffeehouse chain with thousands of locations worldwide, has long been a food and beverage industry leader. Known for its high-quality coffee, innovative products, and strong brand identity, Starbucks continually seeks to enhance the customer experience and build lasting relationships with its patrons.

The primary objective was to deliver highly personalized experiences to Starbucks customers to increase engagement, drive sales, and foster long-term loyalty. By utilizing advanced technology, Starbucks intended to tailor its marketing strategies to meet individual customer preferences and behaviors, ensuring a more meaningful and relevant interaction with the brand.

Starbucks implemented the Deep Brew AI engine, an advanced artificial intelligence platform to analyze extensive customer data collected from the Starbucks app and loyalty program. This AI engine utilized machine learning algorithms to interpret data, uncover patterns, and generate insights into customer behavior. Deep Brew crafted personalized marketing messages and product recommendations tailored to each customer’s unique preferences and purchase history based on these insights. This included suggesting beverages and food items, promoting special offers, and providing timely notifications about new products or local store events.

• Increased Revenue : The personalized recommendations provided by Deep Brew led to a notable increase in sales and average transaction value. Customers were more likely to purchase additional items or try new products that matched their tastes and preferences, resulting in higher overall revenue for Starbucks.
• Enhanced Customer Loyalty : The improved personalization significantly boosted customer retention and engagement with the Starbucks loyalty program. By receiving relevant and appealing offers, customers felt more valued and connected to the brand, leading to increased participation in the loyalty program and higher repeat purchase rates.
• Efficient Operations : The insights generated by the AI engine also helped Starbucks optimize its inventory management. By predicting customer demand more accurately, Starbucks could reduce waste, ensure the availability of popular items, and streamline its supply chain operations, ultimately leading to cost savings and improved efficiency.
• Personalization Drives Sales : This case study highlights the critical role of personalization in marketing. Tailored marketing messages and product recommendations, customized to individual preferences, greatly enhance customer engagement and drive sales, demonstrating that personalized approaches can yield significant business benefits.
• Data Utilization : Effectively utilizing customer data is essential for gaining valuable business insights. Starbucks’ use of Deep Brew demonstrates how analyzing data from various touchpoints can provide a deeper understanding of customer behavior, which can be used to optimize marketing strategies and improve overall business performance.
• Customer Experience : Personalization boosts sales and improves the overall customer experience. By delivering relevant and timely messages, Starbucks created a more enjoyable and engaging customer experience, fostering stronger loyalty and long-term relationships. This case study highlights the critical role of personalization in building a loyal customer base and maintaining a competitive edge in the market.

Case Study 7: BMW’s AI-Driven Social Media Campaign

A prestigious luxury automobile manufacturer, BMW is renowned for its innovative vehicles and cutting-edge technology. With a strong global presence, BMW continuously seeks to elevate its brand awareness and engagement through various marketing initiatives, particularly in the digital space.

The primary goal was to develop a highly engaging social media campaign to promote BMW’s latest models. By leveraging advanced technology, BMW aimed to captivate its audience, increase brand visibility, and foster deeper customer connections through personalized and relevant content.

BMW partnered with IBM Watson to create a sophisticated AI-driven social media campaign. The AI platform analyzed vast social media data, including trends, user sentiments, and interactions. This analysis enabled personalized content creation and real-time responses tailored to each user’s specific preferences and behaviors. The AI-driven approach ensured that the content was engaging and highly relevant to the target audience.

• Increased Engagement : The campaign achieved a remarkable 30% increase in social media engagement. The personalized and interactive content resonated well with users, leading to higher levels of likes, shares, comments, and overall interaction with the BMW brand.
• Broader Reach : AI-driven content personalization significantly expanded BMW’s audience reach. By tailoring content to match user interests and preferences, the campaign attracted a wider and more diverse audience, enhancing brand visibility and recognition across various social media platforms.
• Enhanced Customer Interaction : The use of AI allowed for real-time, personalized responses to customer queries and comments. This improved customer interaction and satisfaction, as users felt acknowledged and valued through prompt and relevant engagements. The enhanced interaction fostered a stronger connection between BMW and its audience, contributing to increased brand loyalty.
• Social Media Optimization : The case study demonstrates that AI can effectively optimize social media content and interactions. By analyzing user data and tailoring content accordingly, AI enhances engagement and ensures that marketing efforts are more impactful and efficient.
• Trend Analysis : Utilizing AI to analyze social media trends and user sentiments provides invaluable insights for developing effective marketing strategies. Understanding current trends and audience preferences allows brands to stay relevant and adapt their content to meet evolving demands.
• Customer Engagement : Personalized interactions are key to fostering better customer relationships and building brand loyalty. AI-driven personalization helps create meaningful and relevant experiences for users, enhancing their overall engagement with the brand. This case study underscores the importance of leveraging AI to deliver tailored content and responses that resonate with the audience, ultimately driving brand success.

Related:  How to build a career in Product Marketing?

Case Study 8: Coca Cola’s AI Powered Content Creation

Coca-Cola, a globally recognized leader in the beverage industry, is known for its iconic products and innovative marketing strategies. With a rich history and a vast portfolio of brands, Coca-Cola constantly seeks new ways to engage its audience and stay ahead in the competitive market.

The primary objective was to streamline the content creation process, making it more efficient while enhancing the creativity and relevance of the marketing materials. Coca-Cola aimed to produce engaging and personalized content that would resonate with diverse consumer segments across various platforms.

Coca-Cola implemented an AI-driven content creation platform that used advanced algorithms to analyze vast amounts of consumer data. This platform generated personalized marketing content, including advertisements and social media posts, tailored to specific audience preferences and behaviors. The AI analyzed data points such as consumer interactions, purchasing patterns, and social media activity to create content that was highly relevant and engaging.

• Increased Content Production : The implementation of AI technology enabled Coca-Cola to accelerate its content creation process significantly. The platform allowed for the rapid production of a higher volume of marketing materials, ensuring that Coca-Cola could maintain a consistent and dynamic presence across various channels.
• Enhanced Engagement : The personalized content generated by the AI platform led to higher engagement rates across Coca-Cola’s marketing channels. By delivering tailored messages that resonated with specific audience segments, Coca-Cola was able to capture and retain the attention of its consumers more effectively.
• Cost Efficiency : The AI-driven approach not only accelerated content creation but also reduced associated costs. By automating parts of the content creation process, Coca-Cola was able to allocate resources more efficiently while maintaining high-quality output. This cost efficiency allowed the company to invest in other areas of its marketing strategy.
• Content Personalization : This case study highlights the significant impact of personalized marketing content. AI can generate content that closely aligns with the preferences and behaviors of target audiences, resulting in more meaningful and engaging interactions.
• Efficiency : The use of AI in content creation streamlines the process, saving both time and resources. Coca-Cola’s experience demonstrates how AI can enhance operational efficiency without compromising the quality of the content produced.
• Creative Innovation : AI tools can offer unique insights and ideas that enhance creativity in marketing. By analyzing consumer data and trends, AI can suggest innovative approaches and concepts, helping brands like Coca-Cola stay ahead in a rapidly evolving market.

Case Study 9: Sephora’s AI Powered Beauty Advisor

Sephora, a leading global beauty retailer, is renowned for its extensive range of beauty products and innovative shopping experiences. With stores worldwide and a robust online presence, Sephora continuously seeks to enhance its customer experience through cutting-edge technology and personalized services.

The primary goal was to provide highly personalized beauty product recommendations to enhance customer satisfaction and boost sales. Sephora aimed to leverage technology to create an engaging and interactive shopping experience that would set it apart from competitors and build stronger relationships with its customers.

Sephora launched the Virtual Artist, an AI-powered beauty advisor that utilized facial recognition and augmented reality (AR) technologies. This innovative tool enabled customers to virtually try on makeup products, receive personalized product recommendations, and simulate different makeup looks in real time. The Virtual Artist analyzed customers’ facial features and skin tones to suggest suitable products, creating a tailored and immersive shopping experience.

• Increased Sales : The personalized recommendations provided by the Virtual Artist significantly increased conversion rates and sales. Customers were more likely to purchase products that were specifically recommended based on their individual features and preferences, leading to higher transaction values and overall sales growth.
• Improved Customer Experience : The virtual advisor provided a unique and engaging shopping experience, allowing customers to experiment with different looks without physical trials. This not only increased customer satisfaction but also reduced the hesitation and uncertainty often associated with purchasing beauty products online.
• Enhanced Brand Loyalty : The personalized interactions facilitated by the Virtual Artist fostered stronger customer loyalty and encouraged repeat purchases. Customers appreciated the tailored recommendations and the convenience of virtual try-ons, which reinforced their trust and affinity for the Sephora brand.
• Personalization Enhances Shopping : This case study highlights the importance of personalization in enhancing the shopping experience and driving sales. AI-driven personalized recommendations make customers feel valued and understood, leading to higher engagement and conversion rates.
• Innovative Technology : Leveraging advanced technologies like facial recognition and augmented reality can create highly engaging and interactive customer experiences. Sephora’s use of these technologies provided a competitive edge, attracting tech-savvy consumers and differentiating the brand in a crowded market.
• Customer Loyalty : Personalized recommendations and interactive tools foster customer loyalty and encourage repeat business. By offering a unique and tailored shopping experience, Sephora was able to build stronger relationships with its customers, resulting in long-term loyalty and increased customer lifetime value.

Case Study 10: Amazon’s AI Driven Product Recommendation

Amazon, one of the world’s largest and most influential e-commerce platforms, is renowned for its vast selection of products and innovative approach to online shopping. With millions of customers worldwide, Amazon continuously seeks to enhance the shopping experience and drive sales through advanced technology.

The primary objective was to improve customer satisfaction and increase sales by providing highly relevant product recommendations. By leveraging data and AI, Amazon aimed to deliver personalized shopping experiences that cater to individual preferences and behaviors, ultimately boosting conversion rates and customer loyalty.

Amazon implemented an AI-powered recommendation engine that meticulously analyzed customer behavior, purchase history, and preferences. This sophisticated system utilized machine learning algorithms to interpret vast amounts of data and generate personalized product suggestions for each user. By understanding individual shopping patterns and preferences, the recommendation engine could suggest items that were highly relevant to each customer.

• Increased Sales : The introduction of personalized recommendations led to a substantial increase in sales and average order value. Customers were more likely to add recommended products to their carts, as the suggestions were tailored to their specific interests and previous purchasing behaviors. This personalization strategy significantly boosted overall revenue for Amazon.
• Enhanced Customer Experience : Tailored product recommendations greatly improved the overall shopping experience. Customers appreciated the relevance and convenience of the suggestions, which made it easier for them to discover new products that matched their preferences. This enhanced shopping experience led to higher levels of customer satisfaction and engagement.
• Higher Conversion Rates : The relevance of the product suggestions increased the likelihood of purchase, resulting in higher conversion rates. Customers were more inclined to make purchases when the recommended products aligned closely with their needs and interests, leading to a more efficient and enjoyable shopping journey.
• Personalization Boosts Sales : This case study underscores the significant impact of AI-driven personalization on sales and customer satisfaction. By delivering highly relevant product recommendations, Amazon was able to enhance the shopping experience and drive substantial revenue growth.
• Data Analysis : Leveraging customer data effectively provides valuable insights for personalized marketing strategies. Amazon’s use of data analysis to understand customer behavior and preferences enabled the creation of a powerful recommendation engine that could deliver tailored suggestions, enhancing the overall effectiveness of their marketing efforts.
• Customer Retention : Personalized experiences foster customer loyalty and retention. The success of Amazon’s recommendation engine highlights the importance of creating personalized interactions that resonate with customers. By continually offering relevant product suggestions, Amazon was able to build stronger relationships with its customers, encouraging repeat business and long-term loyalty.

Related: Top Influencer Marketing Campaigns & Case Studies

As AI continues to evolve and shape the marketing domain, it offers businesses an unprecedented opportunity to revolutionize their strategies, fostering a marketing ecosystem that is dynamic, personalized, and ever-adapting to the changing digital landscape. These case studies underscore the transformative power of AI, urging businesses to embrace this technological tide and carve their success stories in the rapidly evolving digital marketing world.

• Branding vs Marketing Strategy: Key Differences [2024]
• How to Succeed at AI Marketing? 10 Key Steps [2024]

Team DigitalDefynd

We help you find the best courses, certifications, and tutorials online. Hundreds of experts come together to handpick these recommendations based on decades of collective experience. So far we have served 4 Million+ satisfied learners and counting.

Top 10 Tips for Succeeding at Automobile Marketing[2024]

10 Ways to Use AI for App Creation [2024]

10 ways ai is being used in marine industry [2024].

10 Ways Generative AI is Being Used in the Pharmaceutical Industry [2024]

Director of Marketing vs. Marketing Director: Key Differences [2024]

10 Ways CMOs Can Use Influencer Marketing [2024]

Adoption of Generative AI in content creation: A case study from the advertising industry

Ieee account.

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

AI for Businesses: Eight Case Studies and How You Can Use It

Updated: December 17, 2024

Published: July 26, 2023

Artificial intelligence has become an essential growth strategy for entrepreneurs. Almost 9 in 10 organizations believe AI will enable them to gain or sustain a competitive advantage — yet only 35% of companies currently leverage AI.

The majority of businesses leave the benefits of using AI — from optimizing research to streamlining operations — on the table. To stay competitive, entrepreneurs need to figure out how to integrate AI into their business strategy.

Table of contents:

What is AI for businesses?

What are the benefits of ai for businesses, ai for businesses case studies, ai for businesses tools.

AI for businesses involves integrating AI into a business’s strategy, mainly for tasks that require some level of human intelligence. Within a business, as examples, AI can:

• Convert speech to text for emails or memos
• Translate text for foreign markets
• Generate images from text for marketing purposes
• Solve problems, such as aggregating data to make data-driven decisions

For the most part, AI for businesses does not necessarily entail replacing a human worker with AI. Rather, professionals on all levels — from entry-level workers to C-suite executives — can use AI to improve their job performance.

“Across nearly every business function, we’re seeing AI make a major impact on business as usual,” explains Chief Content Officer at Marketing AI Institute Mark Kaput . Benefits of using AI in business include:

• Automating data-driven, repetitive tasks such as data entry
• Increasing revenue by making better predictions
• Enhancing customer experiences by providing more readily available support
• Driving growth by aggregating data and outputting highly targeted ads and marketing campaigns

Aside from more direct benefits, AI has also improved popular business tools. For example, Google Workspace uses AI to enable users to create automatic Google Docs summaries, generate text based on prompts, and more.

Additionally, as AI adoption increases (it doubled from 2017 to 2022), so does the need to leverage it to stay competitive. Almost 8 in 10 organizations believe incumbent competitors already use AI — not surprisingly since 73% of consumers are open to using AI if it makes their lives easier.

AI has been an impactful tool across different industries, from podcasts to fashion to health care.

1. Reduce time and resources needed to create podcast content

In Kaput’s content-creation business, his team leverages AI to decrease the time he spends on their weekly podcast by 75%. This involves using AI to create promotional campaign material (e.g., graphics, emails) alongside script writing.

Podcasts necessitate a human host ( most of the time ), but AI can help optimize the process of getting from idea to episode.

2. Optimize supply chain operations in the fashion industry

Retailers often deal with a significant amount of guesswork. For example, predicting what kind of clothing to stock typically requires historical data and educated guesses.

AI can streamline supply chain operations for retailers. These tools take in necessary data, such as prior inventory levels and sales performance, and predict future sales with greater accuracy.

Fast fashion retailers (e.g., H&M, Zara) have seen growths in revenue by leveraging predictive analytics driven by AI.

3. Speed up and improve accuracy of diagnoses

Physicians often use imaging as a tool to provide accurate patient diagnoses. However, images often show only one part of a larger story — requiring physicians to look into a patient’s medical history.

AI can help optimize this process. For example, at Hardin Memorial Health (HMH), doctors can use AI to bring up a summary of the patient’s medical history and highlight information relevant to the imaging.

For example, one radiologist at the hospital found a bone lesion in an image, which can have many different causes. However, AI sifted through the patient’s medical background and showed the physician the patient’s history of smoking, giving them a better idea for potential treatments.

4. Create professional videos within minutes

If your business plans on creating a video, they need to find a speaker, acquire a high-quality camera, set up a studio, and edit. This can take days to finalize, but AI has made it possible to create a professional video in less than fifteen minutes.

For instance, Synthesia offers tools that enable the creation of videos featuring 140+ realistic-looking avatars, 120+ language options, and high-quality voice-overs.

5. Provide robots with autonomous functions

AI also has many industrial applications. For instance, Built Robotics uses AI to create autonomous heavy machinery that can operate in difficult environments.

One of their robots works in solar piling, or the process of creating solid foundations to place solar panels on. This entails placing foundations on uneven terrain and working with very strict design parameters, which can take time when done manually. However, AI-driven robots can automate and speed up this process significantly.

6. Act as a personal confidant

Generative AI tools such as ChatGPT often output human-sounding text. After all, its learning comes primarily from what people post on the internet. Replika recognized the opportunity to capitalize on this potential human-adjacent relationship and launched their “AI companion who cares.”

Users can create an avatar, customize its likes and interests, and build a relationship with it. The avatar can hop on video calls and chat, interact with real-life environments via augmented reality (AR), and provide guidance to their human companions.

7. Generate mock websites in minutes

Creating a minimum viable product (MVP) often entails launching a simple website to collect user information. But not everyone can code a functional website. AI tools enable users to create mock websites without any coding skills.

For example, you can use Uizard, which outputs app, web, and user interface (UI) designs after receiving instructions in text. Users type in what kind of app or website they want with a few other design parameters. Then, Uizard gives them a design of what their idea would look like.

In this case, AI performs a number of functions, including converting screenshots to functional designs and creating UI designs via simple text. Without AI, these tasks would take hours of technical and graphical work. You can also use AI to supplement your site's content, such as by using it to create blog posts. 

8. Reduce the time and effort needed to create content for training courses

Though you can dive headfirst into AI, Kaput recommends doing thorough research before adopting new AI tools. He advises business owners to first ask themselves the following questions about their tasks:

• Is the task data-driven?
• Does the task follow a standard set of steps?
• Is the task predictive?
• Is the task generative?

If you answer yes to any of these questions, you likely have a solid starting point to integrate AI into your business. Once you understand which tasks you can apply AI to, you can look into different tools that can improve and speed up different parts of your operations.

AI has most visibly impacted marketing, with image and text tools going viral on social media. Tools can help create graphics for social media, write articles, design logos, and more. Consider using the following tools to integrate AI into your marketing:

• LogoAi : Designs logos using AI
• ChatGPT : Provides powerful text in response to prompts
• DALL·E 2 : Creates unique images in response to prompts 
• LOVO : Converts text to natural-sounding speech

AI can aid in high-level thinking, such as devising a business plan or strategy. The following tools can help validate ideas, provide useful analysis, and summarize complex information:

• VenturusAI : Analyzes business ideas for strategic planning
• Zapier : Connects apps to automated workflows

AI can be used to replace repetitive, manual tasks. Using the following tools, you can increase your productivity, speed up research, and more:

• Jamie : Automatically takes notes and creates an executive summary with action items
• Tome : Creates AI-powered presentations
• Consensus : Provides answers using insights from evidence-based research papers

What did you think of this article?

Give Feedback

Don't forget to share this post!

Related articles.

7 AI Automation Examples that Will Streamline Your Marketing Strategy

AI Chatbots: My Top 23 Picks for 2025

Real or AI-Generated? You Guess [Quiz]

11 Best AI Video Generators to Use in 2025

AI Predictions that Could Impact Marketers in 2025 [Trending Data & Expert Insights]

Google Garners Criticism for Demo After Long Awaited 'Gemini' Release

Which Types of Content Will Win Over Google AI Overviews, According to Experts & 300+ Web Strategists

3 Missteps with AI Image Generation and How You Should Be Using Them

5 Ways that AI Analytics Tools Can Make You a Better Marketer

Are AI Agents Worth It? HubSpot's CMO and VP Weigh In

Outline your company's marketing strategy in one simple, coherent plan.

The weekly email to help take your career to the next level. No fluff, only first-hand expert advice & useful marketing trends.

Must enter a valid email

We're committed to your privacy. HubSpot uses the information you provide to us to contact you about our relevant content, products, and services. You may unsubscribe from these communications at any time. For more information, check out our privacy policy .

This form is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

You've been subscribed

How real-world businesses are transforming with AI – with 40+ new stories

Nov 12, 2024 | Alysa Taylor - Chief Marketing Officer, Commercial Cloud & AI

Updated November 26, 2024: The post contains 42 new customer stories, which appear in italics at the beginning of each section of customer lists. The post will be updated regularly with new stories.

One of the highlights of my career has always been connecting with customers and partners across industries to learn how they are using technology to drive their businesses forward. In the past 30 years, we’ve seen four major platform shifts, from client server to internet and the web to mobile and cloud to now — the next major platform shift to AI.  

As today’s platform shift to AI continues to gain momentum, Microsoft is working to understand just how organizations can drive lasting business value. We recently commissioned a study with IDC, The Business Opportunity of AI , to uncover new insights around business value and help guide organizations on their journey of AI transformation. The study found that for every $1 organizations invest in generative AI, they’re realizing an average of $3.70 in return — and uncovered insights about the future potential of AI to reshape business processes and drive change across industries.  

Today, more than 85% of the Fortune 500 are using Microsoft AI solutions to shape their future. In working with organizations large and small, across every industry and geography, we’ve seen that most transformation initiatives are designed to achieve one of four business outcomes:   

• Enriching employee experiences: Using AI to streamline or automate repetitive, mundane tasks can allow your employees to dive into more complex, creative and ultimately more valuable work.
• Reinventing customer engagement: AI can create more personalized, tailored customer experiences, delighting your target audiences while lightening the load for employees.
• Reshaping business processes: Virtually any business process can be reimagined with AI, from marketing to supply chain operations to finance, and AI is even allowing organizations to go beyond process optimization and discover exciting new growth opportunities.
• Bending the curve on innovation: AI is revolutionizing innovation by speeding up creative processes and product development, reducing the time to market and allowing companies to differentiate in an often crowded field.

In this blog, we’ve collected more than 200 of our favorite real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. Today, we’ve added new stories of customers using our AI capabilities at the beginning of each section. We’ll regularly update this story with more. We hope you find an example or two that can inspire your own transformation journey.

Enriching employee experiences

Generative AI is truly transforming employee productivity and wellbeing. Our customers tell us that by automating repetitive, mundane tasks, employees are freed up to dive into more complex and creative work. This shift not only makes the work environment more stimulating but also boosts job satisfaction. It sparks innovation, provides actionable insights for better decision-making and supports personalized training and development opportunities, all contributing to a better work-life balance. Customers around the world have reported significant improvements in employee productivity with these AI solutions:

New Stories:

• Accenture and Avanade launched a Copilot business transformation practice, supported by Microsoft, and co-invested in new capabilities, solutions and training to help organizations securely and responsibly reinvent their business functions with generative and agentic AI and Copilot technologies.
• Bank of Queensland Group is using Microsoft 365 Copilot, with 70% of users saving two-and-a-half to five hours per week.
• Canadian Tire Corporation moved its data from on-premises systems to Microsoft Azure and built digital assistants using Azure OpenAI Service, and now more than 3,000 corporate employees save 30 to 60 minutes a day using its ChatCTC digital assistant.
• Cathay leverages Microsoft 365 Copilot to streamline meetings and manage information more effectively, reducing time-consuming tasks and fostering creativity.
• Clifford Chance adopted Microsoft 365 Copilot to streamline tasks, automate processes and enhance collaboration. Lawyers use it to draft and manage emails and ensure compliance, allowing them to focus on complex legal work and improve productivity.
• DLA Piper chose Microsoft 365 Copilot to boost productivity for operational and administrative teams, saving up to 36 hours weekly on content generation and data analysis.
• Eaton adopted Microsoft 365 Copilot to automate the creation of 1,000 standard operating procedures to streamline customer service operations and improve data access across teams, cutting creation time from one hour to 10 minutes.
• Harvey uses Azure OpenAI to simplify routine tasks across hundreds of law firms and legal teams, with one corporate lawyer saying he saved 10 hours of work per week.
• KMS Lighthouse enhanced its knowledge management platform with Microsoft Teams and Dynamics 365 integration, enabling users to leverage KMS Lighthouse without having to switch applications. And with Azure OpenAI Service, companies can create relevant content more quickly within the KMS Lighthouse application.
• Localiza&Co , a leader in the mobility industry in Latin America, implemented Microsoft 365 Copilot to automate processes and improve efficiency, and reduced 8.3 working hours per employee per month.
• Medigold Health uses Azure OpenAI Service to significantly reduce the time that clinicians spend writing reports during their consultation and administrative time.
• PIMCO built ChatGWM with Azure AI Studio, a comprehensive platform that provides the ability to ask questions, receive responses and verify answers all in one place, so teams can spend more time engaging clients and having deeper conversations.
• SACE , an Italian finance and insurance firm, is using Microsoft 365 Copilot and Viva to boost productivity and unlock employee potential while enhancing overall well-being — and productivity improvement data from the first nine months of implementation shows a 23% increase.

————————————————————————————————————————–

• Access Holdings Plc adopted Microsoft 365 Copilot, integrating generative AI into daily tools and, as a result, writing code now takes two hours instead of eight, chatbots launch in 10 days instead of three months and presentations are prepared in 45 minutes instead of six hours.
• Adobe is connecting Adobe Experience Cloud workflows and insights with Microsoft 365 Copilot to deliver generative-AI powered capabilities that enable marketers to increase collaboration, efficiency and creativity.
• Amadeus empowers its teams to focus their time and skills on value-added tasks with Microsoft 365 Copilot, by summarizing email threads, chat or transcripts and summing up information from diverse sources.
• ANZ has invested in Microsoft 365 Copilot, GitHub Copilot and Copilot in Microsoft Edge to boost productivity and innovation across its workforce.
• Asahi Europe & International (AEI) has adopted Microsoft 365 Copilot, saving employees potentially 15% of time previously spent on administrative tasks.
• AXA developed AXA Secure GPT, a platform powered by Azure OpenAI Service that empowers employees to leverage the power of generative AI while targeting the highest level of data safety and responsible use of the tool.
• Axon Enterprise developed a new AI tool with Azure OpenAI Service called Draft One, resulting in an 82% decrease in time spent on reports, which freed up officers to engage more with their community.
• Aztec Group enhanced productivity and client experience by trialing Microsoft 365 Copilot with 300 staff, uncovering “unlimited” use cases and plans for a wider rollout.
• Bader Sultan & Bros. Co. W.L.L implemented Microsoft 365 Copilot to enhance employee productivity and speed up customer response times.
• Bancolombia is using GitHub Copilot to empower its technical team, achieving a 30% increase in code generation, boosting automated application changes to an average of 18,000 per year, with a rate of 42 productive daily deployments.
• BaptistCare Community Services  is using Microsoft 365 Copilot to save employees time as they navigate workforce shortage challenges, allowing them to focus more on the people they care for.
• Barnsley Council was recognized as “Double Council of the Year in 2023” for its implementation of Microsoft 365 Copilot, which modernized operations and reduced administrative tasks, leading to improved job satisfaction and increased creativity.
• BlackRock purchased more than 24,000 Microsoft 365 Copilot licenses spanning all employees, functions and locations, helping improve the Copilot experience, including codeveloping new features and functions.
• British Heart Foundation is testing Microsoft 365 Copilot and in its initial test, users estimate that Microsoft 365 Copilot could save them up to 30 minutes per day.
• Buckinghamshire Council deployed Microsoft 365 Copilot with staff reporting productivity improvements, quality enhancements and time savings, which are enabling the different teams to do more with less.
• Campari Group adopted Microsoft 365 Copilot to help employees integrate it into their workflow, resulting in time savings of about two hours a week from the support of routine activities such as email management, meeting preparation, content creation and skill acquisition.
• Capita is using GitHub Copilot for productivity improvements as well as improvements in developer satisfaction, recruitment and retention.
• CDW used Microsoft 365 Copilot to improve work quality for 88% of users, enabling 77% to complete tasks faster and increasing productivity for 85% of users.
• Chi Mei Medical Center is lightening workloads for doctors, nurses and pharmacists with a generative AI assistant built on Azure OpenAI Service.
• E.ON is focused on Germany’s energy transition, leveraging Microsoft 365 Copilot to manage the complex grid in real-time, increasing productivity and efficiency for its workforce.
• Enerijisa Uretim has adopted Microsoft 365 Copilot to streamline meeting summaries, reformat documents and compile reports, enabling employees to concentrate on more strategic and fulfilling activities instead of spending six hours in meetings.
• EPAM is deploying Microsoft 365 Copilot to consolidate information and generate content and documents.
• Farm Credit Canada implemented Microsoft 365 Copilot, which resulted in time savings on routine tasks for 78% of users, with 30% saving 30 to 60 minutes per week and 35% saving over an hour per week, allowing employees to focus on more value-added tasks.
• Finastra  used Microsoft 365 Copilot to automate tasks, enhance content creation, improve analytics and personalize customer interactions, with employees citing a 20% to 50% time savings.
• Four Agency Worldwide increased employee productivity using Microsoft 365 Copilot to generate ideas for creative work and support administrative-heavy processes, data analysis and report generation, allowing staff to focus on outreach and less time doing paperwork.
• Goodwill of Orange County developed an AI-powered app using Azure AI capabilities to help more people, including those with developmental, intellectual and physical disabilities, work in unfilled e-commerce positions.
• Honeywell employees are saving 92 minutes per week — that’s 74 hours a year! Disclaimer: Statistics are from an internal Honeywell survey of 5,000 employees where 611 employees responded.
• Insight employees using Copilot are seeing four hours of productivity gained per week from data summarization and content creation.
• Joos uses Microsoft 365 Copilot to grow its brand with worldwide collaboration by streamlining meetings, optimizing presentations and improving communications.
• Kantar is harnessing the power of Microsoft 365 Copilot by reducing costly, time-consuming IT processes and boosting productivity for employees.
• KPMG Australia is using Microsoft Azure OpenAI Service, Azure AI Search and Microsoft Copilot 365 to perform advanced text analysis of dozens of client source documents to identify full or partial compliance, or noncompliance, in a fraction of the time required for manual assessments.
• LGT is launching Microsoft Copilot LGT to improve efficiency, showing users save an average of an hour a week even in the pilot phase.
• Lotte Hotels & Resorts has been creating a new work culture that allows employees to work more efficiently and focus on the nature of the work by adopting Microsoft Power Platform for automation.
• MAIRE is leveraging Microsoft 365 Copilot to automate routine tasks, saving over 800 working hours per month, freeing up engineers and professionals for strategic activities while supporting MAIRE’s green energy transition by reducing their carbon footprint.
• McDonald’s China chose Microsoft Azure AI, GitHub Copilot and Azure AI Search to transform its operations, resulting in a significant increase in AI adoption, consumption and retention from 2,000 to 30,000 employee transactions monthly.
• McKnight Foundation adopted Microsoft 365 Copilot for all staff, saving time, increasing productivity and freeing space to focus on strategic priorities.
• Morula Health is using Microsoft 365 Copilot to enhance productivity, streamline medical writing tasks and ensure data security, ultimately improving efficiency and client satisfaction.
• Motor Oil Group is achieving remarkable efficiency gains by integrating Microsoft 365 Copilot into its workflows, with staff spending minutes on tasks that used to take weeks.
• Nagel-Group uses Azure OpenAI Service to help employees quickly access information which saves time, creates efficiency and transparency, and leads to higher-quality answers overall.
• National Australia Bank  is leveraging Microsoft 365 Copilot for daily productivity and data analysis and insights and Microsoft Copilot for Security to quickly analyze millions of security event logs and allow engineers to focus on more important areas.
• NFL Players Association integrated Azure AI Services and Azure App Service into their video review process, reducing review time by up to 73%, significantly increasing efficiency and enhancing player safety through consistent rule enforcement.
• O2 Czech Republic boosts productivity and streamlines meetings with Microsoft 365 Copilot, revolutionizing how information is shared and making automation a part of daily work.
• Onepoint developed a secure conversational agent based on Azure OpenAI, which delivers productivity gains of between 10% and 15% across all business lines.
• Orange Group has over 40 use cases with Azure OpenAI Service and GitHub Copilot across business functions to support employees in their day-to-day tasks, enabling them to concentrate on higher value-added activities.
• Oxford University Hospitals NHS Foundation Trust implemented Microsoft 365 Copilot to improve staff report productivity by saving one to two hours a week, or simple formatting tasks down to a matter of seconds, enabling more resources to deliver frontline services.
•   PA Consulting transformed its sales operations with Microsoft 365 Copilot, so its people can invest more time on the activities that have the biggest impact for clients and maximize the strategic value they provide.
• Petrobras used Azure OpenAI Service to create ChatPetrobras, which is streamlining workflows, reducing manual tasks and summarizing reports for its 110,000 employees.
• Petrochemical Industries Company automates work processes to save time with Microsoft 365 Copilot from weeks to days, hours to seconds.
• PKSHA Technology is optimizing their time on critical work by increasing efficiency in meeting preparations, data analytics and ideation with the help of Microsoft 365 Copilot.
• Providence has collaborated with Nuance and Microsoft to accelerate development and adoption of generative AI-powered applications, helping improve care quality and access and reduce physician’s administrative workloads.
• RTI International adopted Microsoft 365 Copilot to gain productivity wherever possible, allowing staff to focus on their areas of expertise, delivering even better science-backed solutions for clients.
• Sandvik Coromant is using Microsoft Copilot for Sales to drive efficiency and accuracy, shaving at least one minute off each transaction, allowing sellers and account managers to focus their expertise on responding to customers’ needs with analysis, creativity and adaptability.
• Sasfin Bank built a solution on Microsoft Azure that centralized 20,000 documents to analyze contract clauses and provide real-time snapshots, moving guesswork into data-driven decision-making.
• Scottish Water implemented Microsoft 365 Copilot, reducing mundane tasks to a minimum and thus freeing up time for employees to work on the more meaningful tasks.
• Shriners Children’s developed an AI platform allowing clinicians to easily and securely navigate patient data in a singular location, enhancing patient care and improving the efficiency of their healthcare services.
• Siemens is leveraging Azure OpenAI Service to improve efficiency, cut downtime and address labor shortages.
• Softchoice employees are experiencing firsthand how Microsoft 365 Copilot can transform daily workflows, realizing productivity gains of 97% reduction in time spent summarizing technical meetings and up to 70% less time spent on content creation.
• Syensqo utilized Microsoft’s Azure OpenAI Service to develop a custom AI chatbot in three months, which improved their internal data management, decision-making and overall efficiency.
• Teladoc Health uses Microsoft 365 Copilot to revolutionize its telehealth operations, automating routine tasks, boosting efficiency and increasing productivity.
• Telstra developed two cutting-edge generative AI tools based on Microsoft Azure OpenAI Service: 90% of employees are using the One Sentence Summary tool, which resulted in 20% less follow-up customer contact, and 84% of customer service agents are using the Ask Telstra solution.
• Topsoe achieved 85% AI adoption among office employees in seven months, significantly enhancing productivity and business processes.
• Torfaen County Borough Council utilized Microsoft 365 Copilot to streamline back-office processes, resulting in significant time savings and enhanced productivity for both business and children’s services teams, with further rollouts planned.
• Trace3 leveraged Microsoft Copilot to streamline and enhance processes across the business and with clients, such as reducing the time it takes HR recruiting managers to respond to applicants within a couple of days instead of several weeks.
• Unilever is reinventing their marketing process with Copilot, saving time on briefing tasks, automatically pulling in relevant market data, content and insights to accelerate campaign launches.
• Uniper SE  implemented Microsoft 365 Copilot to reduce time spent on manual and repetitive tasks and help workers focus on more pressing work, such as developing enhanced solutions to speed up the energy transition.
• Unum Group built a custom AI application to search 1.3 terabytes of data with 95% accuracy using Azure OpenAI Service.
• Virgin Atlantic adopted Microsoft 365 Copilot and GitHub Copilot and is seeing real business benefits, including productivity improvements, enabling new ways of working.
• Visier  built a generative AI assistant that leverages Azure AI and Azure OpenAI Services to deliver workforce analytics and actionable insights for more than 50,000 customers.
• Virtual Dental Care developed an AI application Smart Scan that leverages Microsoft Azure to reduce paperwork for mobile dental clinics in schools by 75% and frees dentists to devote more time to patient care.
• Zakladni Skola As Hlavkova adopted Microsoft 365 Copilot and saw a 60% improvement in handling administrative documents, decreased lesson preparation from hours to a few minutes, increased inclusivity and enhanced communication with students and parents.

Reinventing customer engagement

We’ve seen great examples of how generative AI can automate content creation, ensuring there’s fresh and engaging materials ready to go. It personalizes customer experiences by crunching the numbers, boosting conversion rates. It makes operations smoother, helping teams launch campaigns faster. Plus, it drives innovation, crafting experiences that delight customers while lightening the load for staff. Embracing generative AI is key for organizations wanting to reinvent customer engagements, stay ahead of the game and drive both innovation and efficiency.

• Air India leveraged Azure OpenAI Service to develop a virtual assistant that has handled nearly 4 million customer queries with full automation, significantly enhancing customer experience and avoiding millions of dollars in customer support costs.
• Cradle Fund , dedicated to nurturing startups in Malaysia, introduced an AI-driven chatbot to boost user interaction and increase public engagement. User engagement quadrupled while resolution time was reduced from two days to a few clicks. Cradle also decreased customer service costs by 35%, increased international interactions by 40% and increased daily average visits 10-fold.
• Doctolib , a leading eHealth company in France, leverages Microsoft technology to develop an AI-powered medical assistant, integrating both Azure OpenAI Service and Mistral Large on Azure.
• Docusign used Azure AI to develop its Intelligent Agreement Management (IAM) platform, which supports millions of workflows, reducing contract processing times and enhancing customer satisfaction with advanced AI-powered analytics.
• Holland America Line developed a virtual agent using Microsoft Copilot Studio that acts as a digital concierge on their website to support new and existing customers and travel advisors, which has achieved a strong resolution rate and is currently handling thousands of conversations per week.
• Jato Dynamics used Azure OpenAI Service to automate content generation, helping dealerships save approximately 32 hours each month.
• Kenya Red Cross worked with Pathways Technologies to develop a mental health chatbot in Azure AI.
• LALIGA is delivering a seamless fan experience and AI insights with Azure Arc, using AI in Azure for optimizing match scheduling and other key operations.
• Legrand used Azure OpenAI Service to reduce the time to generate product data by 60% and improve customer support interactions with fast, accurate information.
• Mars Science & Diagnostics used the Azure AI catalog to build generative AI apps to enhance accuracy and extract data insights quickly, helping pets with critical, undiagnosed conditions receive the care they require faster.
• NBA is using Azure OpenAI Service to speed up the time to market, helping fans connect with the league with personalized, localized insights to enhance the fan experience.
• Orbital Witness embraced the use of large language models (LLMs) in Azure OpenAI to build its innovative AI Agent application, Orbital Copilot, which can save legal teams 70 percent of the time it takes to conduct property diligence work.
• Parloa took a “voice-first” approach and created an enterprise-grade AI Agent Management platform to automate customer interactions across phone, chat and messaging apps.
• Zurich Insurance Group used Azure OpenAI Service to develop advanced AI applications that led to more accurate and efficient risk assessment evaluations, accelerating the underwriting process, reducing turnaround times and increasing customer satisfaction.
• Absa has adopted Microsoft Copilot to streamline various business processes, saving several hours on administrative tasks each day.
• Adobe leverages Microsoft Azure to streamline the customer experience, harnessing the power of the connected cloud services and creating a synergy that drives AI transformation across industries.
• Acentra Health developed Medscribe, a web application that uses Azure OpenAI Service to generate draft letters in a secure, HIPPA-compliant enclave that responds to customer appeals for healthcare services within 24 hours, reducing the time spent on each appeal letter by 50%.
• Alaska Airlines is using Microsoft Azure, Microsoft Defender and GitHub to ensure its passengers have a seamless journey from ticket purchase to baggage pickup, and it has started leveraging Azure OpenAI Service to unlock more business value for its customer care and contact centers.
• Ally Financial is using Azure OpenAI Service to reduce manual tasks for its customer service associates, freeing up time for them to engage with customers.
• BMW Group optimizes the customer experience, connecting 13 million active users to their vehicles with the MyBMW app on Azure, which supports 450 million daily requests and 3.2TB of data processing.
• Boyner has tripled its e-commerce performance using Microsoft Azure, seeing a rise in customer satisfaction, engagement, conversion rate and revenue.
• Bradesco Bank integrated Microsoft Azure into its virtual assistant, BIA, resulting in reduced response time from days to hours, improving operational efficiency and client satisfaction.
• Capgemini Mexico integrated GitHub Copilot to support scalable AI implementations, which has led to improved customer experiences and increased efficiency.
• Capitec Bank uses Azure OpenAI Service and Microsoft 365 Copilot, enabling their AI-powered chatbot to assist customer service consultants in accessing product information more efficiently, saving significant time for employees each week.
• Cdiscount  is leveraging GitHub Copilot and Azure OpenAI Service to enhance developer efficiency, optimize product sheet categorization and improve customer satisfaction.
• Cemex used Azure OpenAI Service to launch Technical Xpert, an AI tool used by sales agents to provide instant access to comprehensive product and customer solution information, significantly reducing search time by 80%.
• Chanel elevated their client experience and improved employee efficiency by leveraging Microsoft Fabric and Azure OpenAI Service for real-time translations and quality monitoring.
• City of Burlington  created two AI-powered solutions: MyFiles system using Microsoft Power Platform for building permits and CoBy, a 24/7 customer support assistant using Microsoft Copilot Studio.
• City of Madrid created an AI virtual assistant with Microsoft Azure OpenAI Service, offering tourists accurate, real-time information and personalized responses in 95-plus languages.
• Cognizant is making performance management more effective and meaningful with Microsoft Azure Machine Learning to help clients across industries envision, build and run innovative digital enterprises.
• Coles Group has leveraged Microsoft Azure to enhance its digital presence and improve customer engagement, rolling out new applications to its stores six times faster without disrupting workloads.
• Commercial Bank of Dubai used Microsoft Azure to upgrade its application infrastructure, improving transaction security and speed so individual customers can now open an account and start banking in about two minutes.
• Dubai Electricity and Water Authority has significantly improved productivity and customer satisfaction by integrating multiple Microsoft AI solutions, reducing task completion time from days to hours and achieving a 98% customer happiness rate.
• Elcome uses Microsoft 365 Copilot to improve the customer experience, reducing response times from 24 hours to eight hours.
• elunic developed shopfloor.GPT based on Azure OpenAI, leading to increased productivity for customers and saving 15 minutes per request.
• Estée Lauder Companies is leveraging Azure OpenAI Service to create closer consumer connections and increase speed to market with local relevancy.
• First National Bank is using Microsoft Copilot for Sales to help bankers create professional, thoughtful emails in 13 native South African languages, to enhance customer interactions, streamline communications and reinforce its commitment to innovation and customer service.
• Flora Food Group migrated to Microsoft Fabric to offer more detailed and timely insights to its customers, enhancing service delivery and customer satisfaction.
• Groupama deployed a virtual assistant using Azure OpenAI Service that delivers reliable, verified and verifiable information, and boasts an 80% success rate.
• International University of Applied Sciences (IU) adopted Azure OpenAI Service to revolutionize learning with a personalized study assistant that can interact with each student just like a human would.
• Investec is using Microsoft 365 Copilot for Sales to enhance the bank’s client relationships, estimating saving approximately 200 hours annually, ultimately boosting sales productivity and delivering a personalized, seamless customer experience.
• Linum is using Microsoft Azure to train their text-to-video models faster and more efficiently without losing performance or wasting resources.
• Lumen Technologies is redefining customer success and sales processes through the strategic use of Microsoft 365 Copilot, enhancing productivity, sales, and customer service in the global communications sector.
• McKinsey & Company is creating an agent to reduce the client onboarding process by reducing lead time by 90% and administrative work by 30%.
• Meesho leveraged Microsoft’s Azure OpenAI Service and GitHub Copilot to enhance customer service and software development, resulting in a 25% increase in customer satisfaction scores and 40% more traffic on customer service queries.
• Milpark Education integrated Microsoft Copilot and Copilot Studio and in just four months, improved efficiency and accuracy of student support, decreasing the average resolution time by 50% and escalations by more than 30%.
• NC Fusion chose a comprehensive Microsoft solution to make marketing engagement activities easier and accurately target the best audience segments.
• Medgate, a telehealth subsidiary of Otto Group developed a medical Copilot powered by Azure OpenAI which summarizes consultations, supports triage and provides real-time translations.
• Pacific Gas & Electric built a chatbot using Microsoft Copilot Studio that saves $1.1 million annually on helpdesk support.
• Pockyt is using GitHub Copilot and anticipates a 500% increase in productivity in the medium to long term as they continue adapting AI and fine-tuning their software development life cycle.
• South Australia Department for Education launched an AI-powered educational chatbot to help safeguard students from harmful content while introducing responsible AI to the classrooms.
• Sync Labs is using Microsoft Azure to create AI-driven solutions that have led to a remarkable 30x increase in revenue and a 100x expansion of their customer base.
• Syndigo is using Azure to accelerate digital commerce for its customers by more than 40% and expand its customer base.
• Telkomsel created a virtual assistant with Azure OpenAI Service, resulting in a leap in customer self-service interactions from 19% to 45%, and call volume dropped from 8,000 calls to 1,000 calls a day.
• Torrens University chose to use Azure OpenAI to uplift its online learning experience, saving 20,000 hours and $2.4 million in time and resources.
• Trusting Social integrated Microsoft Azure services to launch AI-driven agents that are changing how banks function and transforming their customer’s banking experience.
• University of California, Berkeley used Azure OpenAI Service to deploy a custom AI chatbot that supports student learning and helps students with complex coursework.
• University of Sydney  created a self-serve AI platform powered by Azure OpenAI Service, to enable faculty to build custom chatbots for enhancing student onboarding, feedback, career simulation and more.
• Van Lanschot Kempen is using Microsoft 365 Copilot to reduce the time needed for daily tasks, freeing up time to invest in that crucial personal connection.
• Virgin Money  built an award-winning virtual assistant using Copilot Studio to help build customers’ confidence in their digital products and services.
• VOCALLS automates over 50 million interactions per year, resulting in a 78% reduction in average handling time aside from a 120% increase in answered calls.
• Vodafone Group is leveraging Microsoft’s AI solutions, including Azure AI Studio, OpenAI Service, Copilot and AI Search, to achieve a 70% resolution rate for customer inquiries through digital channels and reduce call times by at least one minute.
• Walmart is using Azure OpenAI Service to deliver a helpful and intuitive browsing experience for customers designed to serve up a curated list of the personalized items a shopper is looking for.
• Weights & Biases created a platform which runs on Microsoft Azure that allows developers to keep records, log successes and failures and automate manual tasks.
• World2Meet is providing better customer service and operations with a new virtual assistant powered by Microsoft Azure.
• Xavier College is modernizing its student information systems on Microsoft Dynamics 365 and Microsoft Azure to unlock powerful insights, fostering innovation and data-driven decision making.
• Zavarovalnica Triglav implemented Microsoft Dynamics 365 and Azure OpenAI Service to streamline its operations with automated responses and smart rerouting of customer enquiries.

Reshaping business process

Transforming operations is another way generative AI is encouraging innovation and improving efficiency across various business functions. In marketing, it can create personalized content to truly engage different audiences. For supply chain management, it can predict market trends so companies can optimize their inventory levels. Human resources departments can speed up the hiring process, while financial services can use it for fraud detection and risk assessments. With generative AI, companies are not just refining their current processes, they’re also discovering exciting new growth opportunities.

• ABB Group integrated Azure OpenAI Service into their Genix Copilot platform enabling customers to achieve up to 30% savings in operations and maintenance, 20% improvement in energy and emission optimization and an 80% reduction in service calls.
• Dentsu implemented Microsoft Azure AI Foundry and Azure OpenAI Service to build a predictive analytics copilot that supports media insights, cutting analysis time by 80% and overall time to insight by 90%, reducing analysis costs.
• Dow implemented Microsoft 365 Copilot to empower teams with AI-driven insights and streamline essential workflows by automating tasks across departments, saving millions of dollars on shipping operations in the first year.
• Lenovo leveraged Dynamics 365 Customer Service to rapidly manage customer inquiries by streamlining repetitive tasks, boosted agent productivity by 15%, reduced handling time by 20% and reached record-high customer satisfaction.
• Operation Smile used Azure OpenAI Service, Fabric and Power Apps to eliminate manual data entry, resulting in reduced translation errors by about 90% and the time required for completing reports from four to five hours to just 15 to 20 minutes.
• StarKist Foods used Azure to effectively unite production and demand processes with finance, reducing the planning cycle from 16 hours to less than one.
• Accelleron used Microsoft Power Platform to support numerous business applications and simplify processes for service agents and employees, resulting in the onboard of new agents in 30 minutes, compared to two days for other solutions.
• Accenture developed an AI-powered financial advisor that leverages RISE with SAP on Microsoft Azure to enhance their infrastructure and integrate financial data.
• Atomicwork leverages Azure OpenAI to bring together three power capabilities: a conversational assistant, a modern service management system and a workflow automation platform.
• Blink Ops fully embraced generative AI to build the world’s first Security Automation Copilot with more than 8,000 automated workflows to help any Security/IT task through prompts.
• Chalhoub Group is using Microsoft Fabric to modernize its data analytics and streamline its data sources into one platform, increasing agility, enhancing analytics and accelerating processes.
• Cineplex is developing innovative automation solutions for finance, guest services, and other departments, saving the company over 30,000 hours a year in manual processing time.
• ClearBank moved its services to Microsoft Azure to gain scalability and efficiency, pushing out 183% more monthly system releases, gaining both scalability and efficiency.
• Danske Statsbaner increases productivity up to 30% with help from Microsoft AI solutions.
• Eastman   implemented Microsoft Copilot for Security, realizing the benefits of accelerated upskilling, step-by-step guidance for response and faster threat remediation.
• Fast Shop migrated to Microsoft Azure, creating a self-service culture of access to data, eliminating delays, reducing costs and increasing leadership satisfaction with data while providing more agility in reporting.
• Florida Crystals adopted a value-added solution across Microsoft products including Microsoft 365 Copilot to reduce telecom expenses and automate industrial process controls.
• GHD is reinventing the RFP process in construction and engineering with Microsoft 365 Copilot.
• GovDash is a SaaS platform that leverages artificial intelligence to streamline the entire business development lifecycle for government contracting companies using Azure OpenAI.
• Grupo Bimbo is deploying Microsoft’s industrial AI technologies to modernize its manufacturing processes, optimizing production and reducing downtime, driving significant cost savings and empowering global innovation.
• Insight Canada  implemented Microsoft 365 Copilot to streamline business operations, realizing a 93% productivity gains in functions including sales, finance and human resources.
• Intesa Sanpaolo Group  enhanced its cybersecurity with AI-enabled Microsoft Sentinel and Microsoft Copilot for Security, resulting in faster threat detection, increased productivity and reduced storage costs.
• Kaya deployed a custom implementation of Microsoft Dynamics 365 and Power BI to modernize its supply chain, leading to enhanced visibility, improved planning and streamlined inter-department operations.
• Lionbridge Technologies, LLC is using Microsoft Azure and Azure OpenAI Service to accelerate its delivery times and improve quality, reducing project turnaround times by up to 30%.
• LTIMindtree integrated Microsoft Copilot for Security, offering automated incident response, integrated threat intelligence and advanced threat analysis.
• Mania de Churrasco used Microsoft Azure, Power Platform and Microsoft 365 to achieve high efficiency, security and scalability in its operations, in addition to improving its data intelligence, which indirectly participated in a 20% increase in sales year on year.
• National Bank of Greece built an Azure-powered Document AI solution to transform its document processing, improving the bank’s accuracy to 90%.
• Nest Bank has revolutionized its operations by integrating Microsoft 365 Copilot and Azure OpenAI Service, resulting in doubled sales and increased daily transactions from 60,000 to 80,000, showcasing the transformative impact of generative AI in the financial sector.
• Network Rail modernized their data analytics solution with Microsoft Azure, helping engineers understand data 50% faster than before and improve efficiency, passenger experiences and safety — all while saving costs.
• Nsure   developed an AI-powered agent that uses Copilot Studio and Power Automate to reduce manual processing time by 60% while also reducing associated costs by 50%.
• Oncoclínicas  implemented Microsoft Azure to transform its entire data ecosystem with a web portal and mobile application that performs all image processing and storage.
• Pacifico Seguros has adopted Microsoft Copilot for Security to optimize its security operations and anticipate and neutralize threats more efficiently and effectively.
• Parexel adopted Azure Databricks and Microsoft Power BI, achieving an 85% reduction in data engineering tooling costs, a 30% increase in staff efficiency and a 70% reduction in time to market for data product delivery.
• Paysafe used Microsoft 365 Copilot to streamline meetings, information management, and document creation, addressing language barriers, eliminating time-consuming tasks, and boosting creativity along the way.
• Planted is integrating Azure OpenAI to manage everyday tasks more efficiently and facilitate the search for information for innovative process development.
• Presidio realized dramatic productivity gains saving 1,200 hours per month on average for the employees using Microsoft 365 Copilot and created 70 new business opportunities.
• Qatar Charity used Copilot Studio to increase its call center efficiency, reducing average handle time by 30%, increasing customer satisfaction by 25% and achieving a 40% reduction in IT maintenance costs.
• Saphyre uses Microsoft Azure and AI to provide an intelligent cloud-based solution that automates and streamlines financial trading workflows around client and counterparty life cycle management, reducing manual efforts by 75%.
• Swiss International Air Lines migrated and modernized with Microsoft Azure, achieving up to 30% cost savings, a remarkable boost in platform stability along with enhanced security visibility.
• ZEISS Group uses Microsoft Fabric to create a secure and trusted data supply chain that can be shared effortlessly across a range of business units.
• ZF Group builds manufacturing efficiency with over 25,000 apps and 37,000 unique active users on Power Platform.

Bending the curve on innovation

Generative AI is revolutionizing innovation by speeding up creative processes and product development. It’s helping companies come up with new ideas, design prototypes, and iterate quickly, cutting down the time it takes to get to market. In the automotive industry, it’s designing more efficient vehicles, while in pharmaceuticals, it’s crafting new drug molecules, slashing years off R&D times. In education, it transforms how students learn and achieve their goals. Here are more examples of how companies are embracing generative AI to shape the future of innovation.

• BMW AG implemented Azure AI to develop a mobile data recorder copilot for faster data management, helping engineers reduce the lead time for insights from days to hours or sometimes minutes.
• EY worked with Microsoft to make Azure AI Foundry more inclusive for all, serving the 20% of the global workforce identifying as neurodivergent.
• Iconem leveraged AI-generated imagery to process and analyze a vast amount of photogrammetry data used to create the 3D digital twin of St. Peter’s Basilica, allowing visitors to explore every intricate detail from anywhere in the world.
• Ontada implemented Azure AI and Azure OpenAI Service to target nearly 100 critical oncology data elements across 39 cancer types and now accesses an estimated 70% of previously unanalyzed or unused information, accelerating its life science product development, speeding up time to market from months to just one week.
• Mia Labs implemented Azure OpenAI to produce and protect its conversational AI virtual assistant Mia that provides fast support from investors, along with the sophisticated security posture and threat protection capabilities for AI workloads.
• New Sun Road implemented AI into a local controller for energy systems to balance the supply, storage and use requirements. This optimized loads to accelerate the deployment of renewable energy for local clean power for communities.
• SustainCERT deployed GenAI and machine learning for automated data verification, extraction from documents and to accelerate auditing processes to enable verifying the impacts and credibility of carbon credits.
• Toyota is deploying AI agents to harness the collective wisdom of engineers and innovate faster in a system named “O-Beya,” or “big room” in Japanese. The “O-Beya” system currently has nine AI agents — from a Vibration Agent to a Fuel Consumption Agent.
• Utilidata built the first distributive AI and accelerated computing platform for the electric grid allowing flexible transformation and dynamic infrastructure to increase electrification and decarbonization.
• Air India has incorporated Microsoft 365 Copilot into multiple departments, unlocking a new realm of operational insights that not only provide critical data on flight punctuality and operational hurdles but also empower proactive, collaborative decision making.
• Agnostic Intelligence deployed Azure OpenAI Service to eliminate time-consuming tasks, saving users up to 80% of their time and enabling IT managers to focus on innovation and quality assurance.
• Albert Heijn is using Azure OpenAI for everything from customer personalization to demand forecast and food waste projects, making it easier for its customers to change their lifestyle.
• Amgen is using Microsoft 365 Copilot to boost productivity and has the potential to speed up drug development and support advancements in their business processes.
• APEC leverages Microsoft Azure and deep neural network algorithms to develop an app that enables healthcare providers to capture retinal images, increasing the accuracy to identify Retinopathy of Prematurity (RoP) to 90%.
• ASOS is using Azure AI Studio to help customers discover new looks with genuine shopping insights, personalized conversations, naturalism and even humor to enliven the shopping journey.
• Auburn University is incorporating Microsoft Copilot to promote AI literacy, accessibility, and collaboration, with the aim to expand educational and economic opportunities for its entire academic community with AI-centric tools.
• B3 launched an AI assistant using Azure OpenAI Service that aids 10,000 users a day to answer Brazilians’ questions about how to start investing.
• Basecamp Research aims to build the world’s largest database of national biodiversity and apply AI and machine learning to advance bioscience.
• Bayer is using Microsoft Copilot to contribute to feeding a growing global population and helping people lead healthier, disease-free lives.
• Brembo leveraged Azure OpenAI to develop ALCHEMIX, a solution to generate innovative compounds for its brake pads, drastically reducing the development time of new compounds from days to mere minutes.
• Canary Speech can now train new vocal models in as little as two months and handle millions of transactions per month with Microsoft Azure.
• CapitaLand simplified internal processes, increasing efficiency to more than 10,000 worker days saved per year and deployed Azure OpenAI Service to build the first AI hospitality chatbot for its lodging business.
• Cassidy is using Azure OpenAI Service to enhance efficiency across various industries, supporting over 10,000 companies.
• Coca-Cola is implementing Azure OpenAI Service to develop innovative generative AI use cases across various business functions, including testing how Microsoft 365 Copilot could help improve workplace productivity.
• Denso is developing “human-like” robots using Azure OpenAI Service as the brain to help robots and humans work together through dialogue.
• eFishery is using Azure OpenAI for farmers to get the data and insights on fish and shrimp farming, including more precise feeding and water quality monitoring.
• EY developed an application that automatically matches and clears incoming payments in SAP, resulting in an increase from 30% to 80% in automatically cleared payments and 95% matched payments, with estimated annual time savings of 230,000 hours globally.
• FIDO is using Azure OpenAI Service to develop an AI tool that uses sound to pinpoint leaky pipes, saving precious drinking water.
• Georgia Tech is using Azure OpenAI Service to enhance the electric vehicle (EV) charging infrastructure, achieving rapid data classification and predictive modeling, highlighting the reliability of networked chargers over non-networked ones.
• GigXR developed a solution to create the intelligence for specific AI patients using Microsoft Azure OpenAI Service and other Azure services.
• GoTo Group is significantly enhancing productivity and code quality across its engineering teams by adopting GitHub Copilot, saving over seven hours per week and achieving a 30% code acceptance rate.
• GovTech used Microsoft Azure OpenAI Service to create LaunchPad, sparking more than 400 ideas and 20 prototypes, laying the foundation for the government to harness the power of generative AI.
• H&R Block is using Azure AI Studio and Azure OpenAI Service to build a new solution that provides real-time, reliable tax filing assistance.
• Haut.AI provides skin care companies and retailers with customizable, AI-based skin diagnostic tools developed with the help of Microsoft AI.
• Helfie is building a solution that caters to healthcare providers who can arm their patients with an application to more quickly and accurately access the care they need.
• Hitachi will implement Azure OpenAI Service, Microsoft 365 Copilot and GitHub Copilot to create innovative solutions for the energy, mobility and other industries.
• Icertis is providing AI-based tools that will recognize contract language and then build algorithms to automatically choose the right approach based on the content of the contract.
• ITOCHU is using Azure OpenAI Service and Azure AI Studio to evolve its data analytics dashboard into a service that provides immediate recommendations by automatically creating evidence-based product proposals.
• IU International University of Applied Sciences (IU) is using the power of Azure OpenAI Service to develop Syntea , an AI avatar integrated into Microsoft Teams and Microsoft 365 Copilot, making learning more personalized, autonomous and flexible.
• Khan Academy has partnered with Microsoft to bring time-saving and lesson-enhancing AI tools to millions of educators.
• Lufthansa Group developed an animated 3D avatar called Digital Hangar to help guide passengers from initial travel inspiration to flight booking through an exchange with an avatar in natural language.
• Mitsubishi Heavy Industries is using Azure OpenAI Service to help accelerate digital innovation in power plants.
• Molslinjen has created an AI analytics toolbox that has reduced fuel emissions, improved customer satisfaction and brought in millions of additional revenue.
• Novo Nordisk recently published initial results with predictive AI models for advanced risk detection in cardiovascular diseases, including an algorithm that can predict patients’ cardiovascular risk better than the best clinical standards.
• Paige.AI ​ is using AI and Microsoft Azure to accelerate cancer diagnoses with data from millions of images.
• Pets at Home created an agent to help its retail fraud detection team investigate suspicious transactions.
• Plan Heal is using Microsoft AI to create solutions that enable patients to monitor and report health metrics so care providers can better serve them.
• Pacific Northwest National Laboratory (PNNL) is testing a new battery material that was found in a matter of weeks, not years, as part of a collaboration with Microsoft.
• Rijksmuseum is harnessing the power of Copilot to make art accessible at scale by joining forces with Microsoft to improve and expand the art experience for blind and low-vision community members.
• Royal National Institute of Blind People is using Azure AI Services to develop an AI-based solution that quickly and accurately converts letters to braille, audio, and large print formats.
• Schneider Electric provides productivity-enhancing and energy efficiency solutions and is using a whole suite of AI tools to hasten its own innovation and that of its customers.
• SPAR ICS created an award-winning, AI-enabled demand forecasting system achieving 90% inventory prediction accuracy.
• Suzuki Motor Corporation is adopting Azure OpenAI Service for data security, driving company-wide use with five multipurpose apps.
• Tecnológico de Monterrey created a generative AI-powered ecosystem built on Azure OpenAI Service with the goal to personalize education based on the students’ needs, improve the learning process, boost teachers’ creativity and save time on tedious tasks.
• TomTom is using Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to revolutionize the driver experience.
• Unilever is partnering with Microsoft to identify new digital capabilities to drive product innovation forward, from unlocking the secrets of our skin’s microbiome to reducing the carbon footprint of a multibillion-dollar business.
• Unity used Microsoft Azure OpenAI Service to build Muse Chat, an AI assistant that can guide creators through common questions and help troubleshoot issues to make game development easier.
• University of South Florida is using Microsoft 365 Copilot to alleviate the burden of repetitive, time-consuming tasks so faculty and staff can spend this time creatively solving problems, conducting critical research, establishing stronger relationships with peers and students and using their expertise to forge new, innovative paths.
• Visma has developed new code with GitHub Copilot, Microsoft Azure DevOps and Microsoft Visual Studio as much as 50 percent faster, contributing to increased customer retention, faster time to market and increased revenue.
• Wallenius Wilhelmsen is implementing Microsoft 365 Copilot and using Microsoft Viva to drive sustainable adoption, streamlining processes, empowering better decision making and cultivating a culture of innovation and inclusion.
• Wipro is committed to delivering value to customers faster and improving the outcomes across the business by investing $1 billion in AI and training 200,000 employees on generative AI principles with Microsoft Copilot.

Read more :

• Get the study: Business Opportunity of AI | Microsoft
• Explore Microsoft AI solutions: Artificial Intelligence Solutions | Microsoft AI
• Assess your AI readiness: AI Readiness Wizard – Microsoft Adoption
• Build a strategic plan for AI: AI Strategy Roadmap | Microsoft AI

IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024

Tags: AI , AI Azure , Azure OpenAI Service , Copilot , Copilot Studio , Microsoft 365 Copilot

• Check us out on RSS