The problem
Store employees needed to search through internal information to answer customer questions and complete daily operational tasks.
The solution
An AI assistant uses RAG, semantic search, LLMs, and workflow automation to let employees ask natural-language questions and retrieve relevant product, process, and internal information. Store teams can use the assistant as an internal knowledge layer for customer questions, procedures, and operational guidance, with answers grounded in company-approved sources.
Key results
- 11,000 hrs/yearSaved annually
- Faster access to information in stores
- Improved employee productivity
- Better support for customer-facing teams