Case study

Transforming Enterprise Search in Retail with AI and Google Gemini Enterprise

Retail and Consumer Goods

Professional using tablet and stylus with virtual search bar, representing AI-driven enterprise search in retail.

Challenge

A retail chain needed to modernise their search capabilities across both structured and unstructured content. The existing tools were not only slowing down processes but also impacting employee engagement negatively. A modern, scalable and secure search experience was necessary to enhance productivity and support future growth. 

Outcome

Our Google Cloud experts at Endava piloted Gemini Enterprise to create a significant reduction in time spent on manual searches, making daily work smoother and more enjoyable for employees. 

Retail professionals discussing data on a tablet in a modern clothing store environment.

Maintaining productivity and driving growth 

Having quick access to internal knowledge is crucial for the streamlined running of business operations. For a leading retail chain, with 18,000 employees, the ability to efficiently find and utilise information is essential for maintaining productivity and driving growth.  

 

However, their existing search tools were insufficient, making it difficult for employees to locate internal regulations and documentation. This hindered engagement and slowed down internal processes. 

 

They therefore needed to modernise their search capabilities across both structured and unstructured content. The existing tools were not only slowing down processes but also impacting employee engagement negatively. A modern, scalable and secure search experience was necessary to enhance productivity and support future growth. 

Person browsing digital clothing options on smartphone using augmented reality in retail store.

Our experts therefore implemented an innovative conversational agentic AI-powered search solution with Gemini Enterprise. This tool integrates seamlessly with the organisation’s intranet, enabling employees to perform natural language queries and access relevant content instantly.  

 

Key benefits:

  • Enhanced discoverability: Employees can now find the information they need quickly and easily, boosting productivity and engagement. 
  • Natural language processing: Enables users to interact with the search tool using everyday language, improving user experience. 
  • Scalability and security: The solution is built on Google Cloud Platform, ensuring it can grow with the company while maintaining high security standards. 
Team collaborating in a modern office space during a strategy or project planning meeting.

Technical implementation 

The implementation of Gemini Enterprise involved several key steps: 

  • Discovery workshops: To understand the retail chain’s specific needs and challenges. 
  • Sandbox deployment: Testing the solution in a controlled environment to ensure it met all requirements. 
  • Connector setup: Integration with Google Cloud Storage and in-house applications to ensure seamless operation. 
  • User onboarding and training: Comprehensive sessions led by us to equip the organisation’s teams for full-scale adoption. 
Retail employee standing confidently in a grocery store aisle with shelves stocked on both sides.

Technology stack 

  • Gemini Enterprise
  • Google Cloud Platform
  • Google Cloud Storage
  • Vertex AI

By leveraging the power of AI and cloud technology, The retail chain successfully transformed their internal search capabilities. This modernisation not only improved employee engagement and productivity but also set the stage for future growth and innovation. 

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