🏷️

Product Attribute Extraction

Turn sparse product listings into rich, structured metadata. Extract material, color, size, style, and category from unstructured descriptions. Compare searchability before and after enrichment. Scale to millions of SKUs overnight.

Batch economics — Enrich 10M listings at a fraction of cloud LLM cost. Orders of magnitude cheaper at scale
Searchability lift — Products without attributes don't appear in filtered searches. Invisible to browsers
Marketplace scale — User-generated listings are inconsistent. LFM standardizes them at catalog scale

The Problem

Marketplace sellers submit sparse listings: 'Blue shirt, comfortable fit' with no material/size/style tags. These vanish from filtered search.

How LFM Compares

Manual enrichment is expensive and slow. Rule-based extraction misses context. At catalog scale, cloud APIs become cost-prohibitive. LFM enriches 10M listings overnight at a fraction of the cost.

What LFM Unlocks

Enrich 10M listings overnight at a fraction of cloud cost. Extract material, color, size, style from unstructured descriptions.

✨
Catalog Enrichment
Transform sparse product data into rich, searchable attributes. Process millions of products per day at scale.

Sparse Product Data

This demo is fine-tuned on sample data. Results improve with your data.

Build Your Model on Workbench →Talk to Our Team