E-Commerce & Procurement

Semantic search that finds what buyers actually mean.

Keyword search fails procurement and e-commerce buyers constantly — they know what they need, not the SKU name for it. We build semantic product and supplier search on Spring AI, grounded in your own catalogue data, so a buyer's actual intent finds the actual match.

Talk to an architect about your catalogueSee the OptaAI case study
01  How we solve it

What this looks like in practice

01

Semantic search over your catalogue, embedded with OpenAI or a self-hosted model and stored in a vector index — buyers search by intent, not exact keyword.

02

Retrieval-augmented answers grounded in your actual product and supplier data, so recommendations are cited rather than invented.

03

Zero-downtime reindexing behind an alias, so a catalogue that changes daily never means search downtime or stale results.

04

MCP server exposure so the same sourcing tools power an internal assistant for reps and a customer-facing self-serve experience from one well-tested toolset.

05

Production hardening — token budgeting, caching, timeouts with graceful fallback, and evaluation against a fixed test set before release.

02  Proof

Shipped in production

OptaAI — an AI-native sourcing platform — built for a US promotional-products company on Spring AI and Elasticsearch. ~3× sales-team productivity and ~70% faster query response, client-reported. Read the case study →

03  FAQ

E-commerce & procurement — frequently asked questions

Can this work with our existing product catalogue and PIM?
Yes — the usual starting point is your existing catalogue or PIM export. We build the embedding and indexing pipeline against your actual schema rather than asking you to restructure data to fit a generic tool first.
How is this different from a standard e-commerce search plugin?
Keyword and faceted search plugins match on exact terms and filters. Semantic search on Spring AI matches on meaning — a buyer describing what they need in their own words gets a relevant result even if it shares no keywords with the product listing.
Do you handle supplier-side sourcing as well as buyer-side product search?
Yes. The same semantic-matching pattern applies to matching sourcing requests against a supplier catalogue — it's the core of the OptaAI platform referenced below.

Talk to an architect about your catalogue or sourcing search.

Tell us how buyers search today and where it breaks down — we'll map the fix.

Talk to an architect