Retail & Marketplaces
E-Commerce & Retail.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.
- Self-hosted
- No data egress
- Encrypted at rest
- YoursModel weights, exportable
- OpenAICompatible API for your stack
- 0Basket data sent to third parties
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
Purpose-built for Retail & Marketplaces.
Intent-Aware Search
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.
Catalogue Copy at Scale
Generate titles, bullet points and meta descriptions in your brand voice for millions of SKUs, with tone locked to your style guide.
Attribute Extraction
Pull structured attributes — material, fit, compatibility — out of messy supplier feeds so filters and facets actually work.
Return-Reason Analysis
Cluster free-text return reasons to surface sizing and description problems before they become a margin leak.
Merchandising Guardrails
Hard rules on claims, pricing language and restricted categories are enforced at inference, not left to prompt discipline.
Localised Listings
Fine-tune once and generate market-appropriate copy across locales, respecting regional compliance wording.
Applications
What teams actually build.
- 01
Conversational Product Finder
A shopper describes the occasion; the assistant narrows to a handful of in-stock SKUs and explains the trade-offs between them.
- 02
Bulk Listing Enrichment
Ingest a supplier CSV and emit complete, on-brand listings with attributes, copy and category assignments ready for review.
- 03
Support Deflection for Orders
Answer "where is my order", sizing and returns questions grounded in your policy documents and live order status.
- 04
Review Summarisation
Condense thousands of reviews per SKU into an honest pros-and-cons block, with the caveats customers actually mention.
Ready for Retail & Marketplaces?Start with your own data.
Talk to us, or start fine-tuning on the free plan.