No matter where you turn these days, there's another headline about AI—even in this article. Some of those headlines represent real breakthroughs, while others might be a bit hyped. With so much noise around AI, it’s easy to get lost in the buzz. So instead of diving into that frenzy, we’re going to keep it simple and take a step back to enjoy real, tangible examples of how AI is already reshaping industries.
Below, we look at some of the most outstanding global cases of AI implementation across industries in 2023-2024, seeing how they are changing business and opening up new frontiers.
And hey, if you're still curious about AI and want to dive deeper into the details, our blog is the perfect place to satisfy that thirst for knowledge. Check out the Sunmait blog for insightful articles and updates. At Sunmait, we're dedicated to helping businesses harness the power of AI to drive innovation and success-after all, who doesn't want to be on the cutting edge of technology?
Coca-Cola: AI in Innovation and Marketing
For a long time, Coca-Cola has been on the frontlines of implementing AI to optimize operations and also innovating in its marketing strategies. Probably one of the most striking examples is the launch of Coca-Cola Y3000, a drink co-created by humans and AI, representing the first flavor ever made with the help of generative AI.
Other initiatives of Coca-Cola in applying AI include the platform Real Magic. It allows users to generate unique works with images from the Coca-Cola collection. Advanced AI tools will help people design original items, from personalized Christmas cards to, well, anything imaginable, really-easily siphoning anyone's creativity.
By engaging consumers in this creative process, Coca-Cola fosters deeper brand interaction and enhances its customer relationships. These AI-driven tools not only provide a more immersive experience but also highlight Coca-Cola’s commitment to staying at the forefront of digital innovation. This combination of AI and consumer creativity allows the brand to remain relevant in an increasingly tech-savvy market, while also providing personalized, memorable experiences that strengthen brand loyalty.
Another extraordinary AI-powered creation is the Coca-Cola AI chatbot, which is advertised on Instagram and links the users with local restaurants, enabling them to accompany their meals with Coca-Cola products. The interactive touch given through AI directly helps this brand speak with the audience in the most fun and entertaining way and captures leads.
Outside of creative usage, Coca-Cola uses AI in automating supply chain management. If you are interested in learning about other opportunities to use AI in logistics, you can read our article on Logistics Trends in 2024-2025.
Sources of data: Supplychaindive, Search Engine Journal
Hilton: AI in Customer Service
Hilton has successfully integrated AI into its customer service through its chatbot, Xiao Xi. Available 24/7 via Hilton’s China mobile apps and WeChat Mini Program, Xiao Xi serves Hilton Honors members and guests by providing a one-stop source for travel-related services. The chatbot answers queries related to hotel information, local weather, check-in details, promotions, and even provides personalized travel advice based on intensive AI training.
The chatbot has achieved remarkable success, handling millions of customer requests with a friendly approach and significantly boosting customer satisfaction. This performance far exceeds the typical capabilities of AI chatbots.
One of its standout features is Xiao Xi, which provides personalized recommendations tailored to each visitor's preferences and past travel history. This personal touch has elevated the guest experience, making interactions feel more meaningful and relevant. Guests appreciate the thoughtful suggestions, which not only guide their decisions but also help create memorable travel experiences. Overall, the chatbot has played a vital role in enhancing customer service and satisfaction, setting a new standard in the industry.
Hilton has reaped several benefits from this AI implementation, including:
Increased customer satisfaction, with users reporting an "excellent" experience.
Cost savings, with the chatbot contributing to a $1 million annual reduction in customer service expenses.
Boosted direct bookings, as customers who interact with Xiao Xi are more likely to make reservations directly through the Hilton website.
Source of data: Virtasant
Siemens: AI in predictive maintenance and digital twins
Siemens is advancing predictive maintenance solutions by integrating generative AI into its Siemens Industrial Edge platform. This allows the company to enhance its ability to predict and prevent equipment failures before they occur. The AI technology processes large volumes of machine data in real time, learning from patterns and anomalies to more accurately forecast emerging maintenance issues.
One of Siemens' most significant innovations is the application of generative AI to create digital twins of physical assets. These AI-driven digital twins allow Siemens to simulate equipment performance under various conditions, providing more insightful and actionable decisions related to maintenance scheduling and operational efficiency. This reduces downtime and optimizes maintenance cycles, which is particularly critical in industries like manufacturing and energy.
Additionally, Siemens’ generative AI solution not only helps companies respond to potential failures but also continuously improves their maintenance strategies. The system learns from every interaction, refining its predictions over time, which extends equipment lifespan and reduces operational costs.
Siemens’ use of generative AI in predictive maintenance aligns with its broader vision of AI-powered automation and digitalization, driving efficiency and innovation across global industries.
Source of data: Siemens
Deloitte: AI in document process automation
Deloitte has introduced a generative AI-powered solution integrated with RelativityOne and Relativity Server. This AI solution, called Reveal, simplifies cumbersome eDiscovery processes by automating document review and improving data analysis. Generative AI enables Deloitte to quickly scan large volumes of data, generating insights that enhance legal case strategies with less manual effort.
The tool leverages natural language processing (NLP) to analyze unstructured data, offering faster and more accurate identification of relevant documents in litigation or investigation cases. This helps Deloitte’s clients optimize workflows, reduce the time and costs associated with document review, and improve compliance outcomes.
Source of data: Deloitte
L’Oréal: AI in Beauty (Virtual Artist, Personalization)
L’Oréal has embraced AI technology with the launch of its Beauty Genius AI-powered virtual assistant, aimed at providing personalized beauty recommendations and enhancing the customer experience. This tool allows users to virtually try on makeup products, such as foundations and lipsticks, using augmented reality to see how different shades and styles would look on their own faces, in real-time. The AI also provides personalized beauty advice, answering questions about skincare routines and makeup tips based on individual preferences and needs.
The try-on technology has been trained on an inclusive dataset of over 6,000 images and tested by makeup artists on more than 10,000 products across 50 countries, ensuring diverse representation. The tool is also protected by 10+ patents, showcasing L’Oréal’s commitment to innovation. For skin diagnosis, the AI relies on algorithms trained on 16,000 inclusive images and 150,000 dermatologist-annotated images, ensuring highly accurate and personalized skincare recommendations.
By combining AI-driven personalization with virtual try-on features, L’Oréal enables users to make more informed decisions when selecting beauty products, improving both customer satisfaction and engagement.
How AI is Changing other industries
Artificial Intelligence is causing a stir in several fields of contemporary life, be it e-commerce or health.
In eCommerce, AI greatly enhances user experience and operational efficiency. Among key AI use cases in eCommerce, personalized recommendations stand out as a powerful tool. AI algorithms analyze customer behavior and preferences to recommend products that align with their interests, creating better customer engagement and driving more sales. Additionally, AI is used in chatbots to provide 24/7 customer support, assisting shoppers in finding the right products or resolving issues instantly.
Another impactful AI use case is inventory management. AI tools predict demand by analyzing historical data and trends, optimizing stock levels to minimize both overstock and stockout situations, ensuring smooth operations and a better shopping experience. These examples demonstrate how AI is transforming eCommerce by making it more efficient and tailored to individual customer needs.
AI use cases in healthcare are becoming increasingly vital in diagnostics and patient care. One of the most significant applications is in medical imaging, where AI can analyze MRI and CT scans much faster and more accurately than traditional methods. This enables doctors to detect diseases like cancer at their earliest stages, improving patient outcomes. Additionally, AI-powered virtual assistants monitor patient health, remind them of medications, and even perform first-tier triages on symptoms, allowing for timely interventions.
AI is improving medicine, medical care, and medications. By analyzing vast datasets, AI helps identify potential compounds for developing new treatments, significantly speeding up the research and development process. These AI use cases in healthcare demonstrate how technology is driving innovation in areas like diagnostics, patient monitoring, and pharmaceutical research.
For those who would like to look into it a bit deeper, there's an interesting article entitled
Conclusion
The best part is that AI has the potential to be a game-changer for literally every industry. It's not about bleeding-edge technology but real-world problem solving, unleashing new opportunities as a result of AI business transformation.
Whether you want to learn precisely how AI can help your business-be it process optimization, engaging customers, or driving innovation-I encourage reaching out and consulting Sunmait. We will dive deep into how AI can help your company in a specific industry using real-world AI use cases that drive success.
