The problem
Store teams needed fast access to internal product and process knowledge, but information was spread across systems and documents. Searching manually slowed customer conversations and daily operations.
The solution
An AI store knowledge assistant uses retrieval-augmented generation, semantic search, LLMs, approved knowledge sources, and workflow automation. Employees ask natural-language questions and receive answers grounded in product data, procedures, and internal documentation.
Key results
- 3.5 min → secondsTime to find store-process information
- 75,000+/yearStore knowledge searches supported
- Employees receive answers linked to the relevant internal manual
- More time available on the sales floor for customer support
Enterprise example · The problem & approach apply across business sizes; outcomes vary by process volume, complexity & scope