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AI2026/06/28

Carrefour, Revolutionizing Retail with AI: How It Transforms Customer and Employee Experiences

French retail giant Carrefour has begun leveraging generative AI to enhance both customer and employee experiences. By introducing shopping assistants and operational efficiency tools, they are shaping the future of the retail industry.

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Which Company's Case Study Is This?

The company featured in this case study is France's "Carrefour," one of the world's largest retailers. Carrefour is leveraging generative AI technologies, such as OpenAI's GPT-4, to drive a large-scale DX (Digital Transformation) in two core areas of retail: the customer shopping experience and internal employee business processes.

Problems Carrefour Wanted to Solve

In the highly competitive retail industry, Carrefour faced two major challenges: enhancing customer engagement and streamlining internal operations. For customers, there was a demand for a more personalized and convenient shopping experience on the online store. Internally, a significant amount of time was spent on routine tasks such as comparative analysis of quotes and drafting bidding documents by departments like procurement, making productivity improvement an urgent priority.

How AI Was Used

Carrefour has deployed multiple generative AI solutions. For customers, they introduced "Hopla," a ChatGPT-based AI assistant, on their official website "Carrefour.fr." Hopla suggests products based on customer natural language requests, such as budget, dietary restrictions, or menu ideas, and proposes recipes to avoid food waste. Additionally, generative AI automatically creates descriptions for over 2,000 private-label products, providing more detailed information. Internally, Carrefour developed an AI tool to support the procurement process. This tool streamlines tasks such as comparing and analyzing quotes from multiple suppliers.

Implementation Effects and Key Takeaways

  • **Enhanced Customer Experience**: The AI assistant "Hopla" provides a personalized, interactive shopping experience for each customer, significantly improving convenience.
  • **Significant Improvement in Operational Efficiency**: In the procurement department, the quote comparison process, which previously took 30 minutes, has been shortened to just 10 minutes with the introduction of the AI tool, anticipating approximately a 67% reduction in time.
  • **Phased Implementation Strategy**: Carrefour started with a customer-facing chatbot and is now leveraging that experience to expand applications into internal operations. The gradual expansion of its use, such as opening a store directly within ChatGPT by 2026, is noteworthy.
  • **Dual Approach for Customers and Employees**: It is crucial that Carrefour aims to enhance overall company value by approaching both customer satisfaction improvement and employee productivity enhancement.

What Japanese Companies Can Learn

Carrefour's case study offers valuable insights for many Japanese companies, not just those in retail. In particular, streamlining internal operations is a common challenge across all industries. Starting AI utilization with routine tasks like quote comparison and document creation, a strategy known as "defensive DX," is cost-effective and suitable for a small-scale start. Furthermore, by combining this with "offensive DX," which involves introducing AI at customer touchpoints, it is possible to accelerate company-wide transformation, much like Carrefour. Why not start by identifying which of your company's operations could benefit from AI?

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