Mercari integrated OpenAI’s API with a multi-model approach to optimize product listings. Initially, GPT‑4 analyzed top listings offline while GPT‑3.5 Turbo provided real-time suggestions for active listings. Later, they shifted to GPT‑4o mini to automatically generate complete titles, descriptions, and category suggestions from uploaded photos, streamlining the seller listing workflow.

ASOS integrated Azure OpenAI Service and Azure AI prompt flow to build an AI-powered natural language interface on its website and mobile app for personalized product recommendations. They implemented the solution by connecting their existing microservices with these AI tools, streamlining rapid prototyping and integrating external trend data along with internal expertise to curate tailored selections that enhance customer engagement. The solution seamlessly integrates into ASOS’s digital processes.

Pets at Home built an AI agent using Microsoft Copilot Studio integrated into its unified Azure data platform that consolidates disparate systems from its retail stores, online channel, veterinary clinics, and grooming services. This agent empowers the retail fraud detection team by rapidly scanning extensive transaction data to identify anomalies such as duplicate images in fraudulent claims, thereby streamlining fraud investigations. The implementation required minimal coding and seamlessly connected existing systems while ensuring strict data privacy within the company ecosystem.

Petbarn developed and integrated PetAI, a generative AI-powered intelligent assistant using Azure OpenAI Service, Azure AI Search, and Azure App Service. They implemented the solution through virtual discovery sessions and design workshops, followed by iterative development of a multi-agent retrieval augmented generation model to deliver highly personalized pet care advice and product recommendations. The system was deployed on both their website and mobile app, streamlining customer interactions and enhancing pet care guidance.

The Estée Lauder Companies, a global leader in prestige beauty, adopted ChatGPT Enterprise and created over 240 custom GPTs. These GPTs help employees query large consumer and clinical trial datasets in plain English, reducing manual data handling and speeding insight generation. They also support on-brand copywriting and vendor data analysis, enabling faster, data-driven product development and marketing.

Trace One implemented AI by integrating Google Vertex AI to automatically extract information from technical sheets and regulatory documents, map data between diverse systems, and compare texts and images for packaging compliance. The solution was developed following a successful proof-of-concept and then scaled into production using Google Cloud’s managed services, simplifying system integration and reducing operational complexity. This deployment streamlined their PLM and compliance update processes, minimizing manual intervention and optimizing accuracy.

L’Oréal built GenAI as a Service by developing a comprehensive set of declarative generative AI APIs accessible via its internal L’OréalAPI portal, enabling developers to integrate advanced AI features without worrying about LLM connectivity or billing complexities. Using Google Cloud Run for scalable, serverless deployment and integrating LangChain to connect with LLMs like Gemini Pro 1.5, the solution supports prompt completion, chat with memory, and image generation. This implementation streamlines internal workflows across multiple departments while ensuring robust data security and governance.

Ferrero Group's Kinder brand is leveraging Microsoft Azure OpenAI to create Let's Story, an e-book platform allowing families to personalize stories via the Applaydu app. It generates over 40,000 different stories combining text, audio, and illustrations in 15 languages, enhancing children's learning and storytelling skills.

Campari Group adopted Microsoft 365 Copilot to leverage generative AI for competitive advantage. Through training and gradual implementation, employees integrated Copilot into workflows, saving time on routine tasks like email management, meeting preparation, content creation, and skill acquisition.

Flora Food Group deployed Microsoft Fabric to consolidate multiple analytics tools into a single, unified platform, streamlining data management, reporting, and analytics under one architecture.

Dunelm implemented a generative AI-driven product discovery solution by replacing its traditional search engine with Google Cloud’s Vertex AI Search for Retail on its website. This integration leverages advanced AI to analyze customer queries and deliver personalized product recommendations, automating the search process and enhancing the online shopping journey.

Mania de Churrasco! centralized its data using Microsoft Azure, Power Platform, and Microsoft 365, improving operational efficiency. The company integrated sales, employee, and self-service data, leading to better decision-making. They are now leveraging OpenAI's models on Microsoft Azure Service for predictive models and AI integration.

Puma uses Imagen (Google’s image generator) to customize product photos on its website, ensuring they’re locally relevant across markets.

NotCo, a Chilean food tech company, partnered with Eleven Solutions to develop a conversational AI chatbot powered by Gemini.

ScottsMiracle-Gro built a chatbot that provides tailored gardening advice and product recommendations from their gardening brands.

Fortenova Group leveraged Vertex AI to build an AI forecasting tool that analyzes historical order data, current inventory levels, and seasonal trends to predict daily demand for perishable products such as fruits and vegetables. The tool was integrated into the grocery store ordering workflow by automating model training, monitoring, and third-party connectivity, enabling store managers to quickly determine optimal order amounts and reduce food waste.

Juganu integrated Vertex AI to leverage advanced computer vision models on in-store images and videos, automatically detecting product availability, out-of-stock situations, and merchandising issues. They implemented integrations with BigQuery and Looker to consolidate and analyze retail floor data, streamlining inventory management and triggering automated alerts for restocking.

Unilever partnered with Microsoft to leverage Azure Quantum Elements, Copilot in Azure, and Azure HPC to simulate thousands of chemical reactions using natural language queries, thereby revolutionizing its R&D workflow. This AI implementation transformed their DataLab by expediting the screening of tens of thousands of materials and enabling rapid exploration of chemical reactions, reducing reliance on time-consuming physical lab experiments.

Cainz implemented Google Cloud’s BigQuery and Vertex AI to automatically capture and analyze product scan data for real-time demand forecasting and streamlined warehouse management across its 230 stores. They further integrated the Gemini generative AI model to automate product description creation, thereby merging digital and physical retail channels and reducing repetitive tasks for store associates.

Planted integrated Microsoft Azure OpenAI to create a customized generative AI Copilot that automates routine tasks and supports creative process development for its brand, marketing, and manufacturing teams. The solution was implemented by embedding AI-driven analytics and automated data search functionalities into existing workflows using Dynamics 365 Business Central and Power BI, replacing outdated manual processes. This integration streamlined critical operations and enhanced data-driven decision-making across multiple departments.

Asahi Europe & International (AEI), a global brewer, adopted Microsoft Copilot to enhance productivity and foster innovation across its teams. They distributed 300 Copilot licenses across various departments, forming "flight crews" to drive adoption. Employees use Copilot to automate tasks like summarizing documents, drafting content, and translating communications into 14 languages, allowing them to focus on strategic initiatives and creative thinking.

Using Google Cloud, Zebra integrated Vertex AI-enabled services to stream real-time data from self-checkout stations and mobile devices, enabling on-device AI insights into inventory management and shelf availability. This implementation automates notifications and task assignments for front-line employees, transforming traditional hardware-centric processes into agile, real-time retail operations that drive loss prevention and improved customer service.

Carrefour implemented an AI sommelier service by integrating a language model into their customer service robots, enabling quick and personalized wine recommendations. The system analyzes customer sentiments and queries to provide tailored suggestions, thereby streamlining the in-store wine selection process and enhancing customer service.

The Estée Lauder Companies implemented AI by developing a sentiment analysis tool to rapidly capture consumer sentiment from product reviews and launching ELLA, their internal language assistant powered by Vertex AI running on Gemini. They enabled brand leaders to leverage generative AI for translations, ad copy creation, and meeting summarization, integrating these capabilities with Google Cloud’s BigQuery to streamline decision-making and operational acceleration.

Chanel uses Microsoft's AI tools including Azure OpenAI Service, Microsoft Fabric, and Microsoft 365 Copilot to enhance client experience, operational excellence, and employee efficiency. They leverage generative AI to provide personalized recommendations, streamline employee tasks, and develop augmented clienteling apps, knowledge-based search, and training bots.

Joos, a supplier of mobile charging stations, uses Microsoft Copilot for Microsoft 365 to streamline collaboration across time zones and languages. By integrating Copilot into PowerPoint, Teams, Outlook, and Excel, they create branded sales pitches faster, generate meeting recaps automatically, draft emails efficiently, and analyze data for key performance indicators.

Major League Baseball continues to innovate its Statcast platform, so teams, broadcasters, and fans have access to live in-game insights.

McDonald’s will leverage data, AI, and edge technologies across its thousands of restaurants to implement innovation faster and to enhance employee and customer experiences.