Context
A global electronics distributor whose customers are design engineers selecting components from a catalog of millions of parts.
Constraint
Keyword search and ticket queues could not answer the questions engineers actually ask — exact parts, alternates, specifications — so discovery was slow and support volume kept growing.
Architecture
AI-assisted product discovery and support grounded in the distributor's own catalog and content: natural-language part search, datasheet-grounded answers, and assisted response drafting for support teams. Retrieval runs against catalog and document sources, and answers are returned with their source content behind them.
Integration map
Kaaylabs platform
Services, data model, and governed automation
Team
Onsite architect + Chennai engineering pod, working alongside the client's catalog and support teams.
Outcome
Engagement