Product discovery that understands intent, not keywords.
Fine-tune on your catalogue, past search sessions, and return reasons to build search, recommendations, and product copy that speak your customers' language. Runs on your own infrastructure, so basket data and margins stay yours.
The Problem
Keyword search misses intent, generic recommenders cannot reason about your merchandising rules, and sending catalogue plus behavioural data to a third-party API hands your margin structure to a vendor.
How Langtrain Helps
Train on real session logs so "something warm for a toddler in December" resolves to the right category, size and season — not a keyword soup.
Generate titles, bullet points and meta descriptions in your brand voice for millions of SKUs, with tone locked to your style guide.
Pull structured attributes — material, fit, compatibility — out of messy supplier feeds so filters and facets actually work.
Cluster free-text return reasons to surface sizing and description problems before they become a margin leak.
Hard rules on claims, pricing language and restricted categories are enforced at inference, not left to prompt discipline.
Fine-tune once and generate market-appropriate copy across locales, respecting regional compliance wording.
Applications
A shopper describes the occasion; the assistant narrows to a handful of in-stock SKUs and explains the trade-offs between them.
Ingest a supplier CSV and emit complete, on-brand listings with attributes, copy and category assignments ready for review.
Answer "where is my order", sizing and returns questions grounded in your policy documents and live order status.
Condense thousands of reviews per SKU into an honest pros-and-cons block, with the caveats customers actually mention.