As leading organisations increasingly embrace generative AI (GenAI), numerous successful case studies and stories from early adopters are emerging. If you are aseeking to implement generative AI in your organisations these GenAI case studies in manufacturing, retail, and real estate will certainly amaze and inspire you.
GenAI case studies in manufacturing
Toyota Research Institute: Text-to-Image Integration
Toyota Research Institute has pioneered an innovative platform that integrates design sketches and engineering requirements with text-to-image-based generative AI tools. This advanced system allows car designers to merge Toyota's traditional engineering prowess with cutting-edge AI capabilities. By incorporating constraints such as drag, which affects fuel efficiency, and chassis dimensions like ride height and cabin size, the GenAI tool can generate optimised designs. This integration accelerates the design process and ensures that the designs adhere to Toyota's stringent engineering standards, demonstrating a compelling example of implementing GenAI in manufacturing.
Siemens' Senseye: Predictive Maintenance
In February 2024, Siemens introduced a generative AI feature into its Senseye Predictive Maintenance solution. This enhancement builds on the existing AI's capabilities, making the process more conversational and user-friendly. The system leverages knowledge from similar machines to optimise maintenance strategies across various equipment. By using chat interfaces for early and informed decision-making, this GenAI-powered solution streamlines interactions between humans and machines, reducing downtime and resource expenditure.
"By harnessing the power of machine learning, generative AI, and human insights, we're taking Senseye Predictive Maintenance to the next level. The new functionality makes predictive maintenance more conversational and intuitive – helping our customers to streamline maintenance processes, enhance productivity and optimise resources. This marks an important milestone in countering skill shortage and supporting our customer's digital transformation. " – Margherita Adragna, CEO, Customer Services for Digital Industries, Siemens AG
This GenAI case study exemplifies how AI can revolutionise manufacturing processes, making it a vital part of any AI-driven business transformation strategy.
Bosch: Breakthrough in Image Quality Inspection
Bosch has long utilised AI for quality inspection in manufacturing. However, the challenge of collecting sufficient data on defects prompted a shift to generative AI. Bosch's new system generates over 15,000 artificial images of potential faults based on a limited set of real images. This approach enables earlier and more accurate training of AI models for automated optical inspection, significantly enhancing the efficiency and effectiveness of quality control processes. Implementing GenAI in this way has allowed Bosch to maintain its high standards in quality assurance, while also reducing costs and time.
Lozier: Smart Search Across All Tools
Lozier, a retail store manufacturer, implemented a GenAI-enabled smart search function on its intranet platform. This feature allows employees to search through various external tools, ticketing systems, messaging apps, and file management systems like Office 365 and Google Drive. The AI provides rich, contextual responses to search queries, enhancing the efficiency and productivity of employees through conversational search and answers.
Alstom: Improving Technical Specifications
Alstom has integrated GenAI to rewrite technical specifications, improving quality and accuracy while reducing costs associated with errors and rework. This application of AI streamlines the documentation process, ensuring that specifications are precise and easy to understand, which enhances overall operational efficiency.
"At Alstom, we believe that AI is critical, and we embrace the idea that employees will be leveraging generative AI-based co-pilots to generate engineering assets such as specification, software code, design mock-ups, faster, in a cost-efficient and sustainable way" - Mohamed Habib Mazouni, AI Innovation and Development Director at Alstom
GenAI case studies in retail
CHANEL: Enhancing Customer Care with Real-Time Translations
CHANEL employs GenAI for real-time translations and quality monitoring, which significantly benefits its global customer care teams. This AI-driven approach ensures accurate and timely responses to customer inquiries, enhancing the customer experience and maintaining CHANEL's reputation for exceptional service. This GenAI use case not only supports customer care teams but also ensures that the brand's global operations run smoothly.
Groupe Clarins: Conversational Bot for Customer Support
In May 2024, Clarins introduced CLARA, a GenAI-powered conversational bot that provides immediate responses to customer inquiries outside regular business hours. This innovation ensures continuous customer support, improving customer satisfaction and engagement by offering timely assistance regardless of the time of day. By implementing GenAI in customer service, Clarins enhances its ability to provide high-quality support, even beyond regular working hours.
Orange: Generative AI solution FIND transforms information retrieval
Orange has developed a groundbreaking generative AI-based solution, named FIND, aimed at streamlining information retrieval in professional settings, particularly within call centres. Employees in large corporations often spend significant time searching for data, impacting productivity. FIND addresses this by integrating an advanced search engine with GPT technology, allowing it to swiftly browse internal databases, retrieve relevant information, and generate ready-to-use responses for customer queries. This GenAI case study was initially tested at Orange Luxembourg and has proven its efficiency and versatility, reducing search times and enhancing customer service.
Albert Heijn: Reducing Food Waste with GenAI
Albert Heijn, a leading Dutch supermarket operator, has leveraged generative AI to innovate its customer experience and operational efficiency. The company introduced a new "Scan & Cook" feature in its customer app, developed by its in-house tech team, Gen AI Labs. This feature allows users to photograph food products and receive personalised recipe suggestions, aiming to reduce food waste by encouraging the creative use of leftover ingredients. Additionally, Albert Heijn has integrated AI across various aspects of its business, including store-specific assortment planning and employee support via an intranet agent. These advancements were showcased at Albert Heijn's Food & Tech Week, underscoring the company's commitment to using AI to drive sustainability and improve customer service.
Walmart: Personalised Search Functionality
Walmart implemented a GenAI-powered search function across its digital platforms, including iOS, Android, and its website. This new capability understands the context of customer queries, providing personalised responses that enhance the shopping experience and drive customer satisfaction.
By implementing GenAI, Walmart ensures that its customers receive the most relevant product recommendations, making shopping more efficient and enjoyable.
CarMax: Content generation at scale
CarMax, the leading used car retailer in the United States, has optimised the creation of text summaries for its car research pages, delivering meaningful content to customers while enhancing the pages' search engine rankings. Building on this success, CarMax plans to incorporate even more AI-generated content into its website.
"We would have had to have hired tens or maybe hundreds of content writers and taken years to generate this content. We were able to do this literally in a matter of hours." - Shamim Mohammad, EVP and CITO at CarMax.
This GenAI case study showcases how implementing GenAI can drastically reduce content creation time while improving SEO performance.
GenAI case studies in real estate
JLL: GPT Model for Commercial Real Estate
Developed by JLL Technologies, JLL GPT™ leverages both JLL's extensive in-house data and external CRE sources to provide insightful solutions. It enables JLL's global workforce to deliver faster, smarter insights and transform traditional data dashboards into dynamic, conversational tools. The AI model enhances decision-making processes, optimises investment opportunities, and supports comprehensive workplace planning focusing on robust data governance and security. Implementing GenAI in this context has revolutionised how JLL handles data and insights, leading to more informed and strategic decisions in commercial real estate.
CBRE: Industry-first Multi-LLM AI platform
CBRE has introduced the commercial real estate industry's first multi-LLM, self-service generative AI platform. This platform allows users to engage with various data classes through natural language, facilitating tasks such as generating new content, translating text, and conversing with documents.
"We see the transformative potential of AI. While we have been on this journey for years and have examples of AI deployments at scale, recent advancements allow CBRE to apply the technology in new and different ways, enabling our people and core business, and enhancing client outcomes." - Sandeep DavéChief Digital & Technology Officer
CBRE's GenAI case study shows how AI is setting new standards for innovation and efficiency in the real-estate industry.
We hope these generative AI case studies from the manufacturing, retail, and real estate sectors have inspired you and showcased the transformative possibilities GenAI can offer your business. We will continue to share insights from early adopters across various industries. In the meantime, contact us for a free consultation to explore potential GenAI use cases tailored to your organisation.
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* This articles' cover image is generated by AI
