How Delfi shortened the customer journey from question to purchase
DelfiBot combines product discovery, book recommendations and service information in a single conversational channel.
A large catalog, frequent promotions and service information made answers harder to find, especially when shoppers did not know the exact title.
- 2,438 requests across real customer scenarios
- 346 interest-based book recommendations
- 274 order-status information requests
- 191 book-availability checks
Delivered solution
The AI chatbot connects structured product and order data with the content context required for meaningful recommendations.
Implementation stages
Priority customer scenarios · Connection to operating data · Information-source readiness · Production usage analysis
Case-study indicators
1.257 — conversations · 7.299 — messages · 0,4 s — average response
Operational perspective
The channel speeds up discovery and support while creating a reusable foundation for additional AI workflows across Delfi.
Delivery status and evidence limits
Production results · February 2026. The indicators describe recorded production usage through February 2026. They do not automatically represent revenue, conversion or savings without additional business measurement.