Client case study · Delfi

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.