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Product Categorization

Classify products into taxonomy categories from unstructured titles and descriptions. Handles ambiguity ('apple' → electronics or grocery based on context). Process new listings in real-time at upload and re-categorize your full catalog overnight.

Hybrid timing — Real-time at upload (35ms) + batch for full catalog overnight. BERT needs an ML team; rules are brittle
Ambiguity handling — 'Apple' in grocery vs electronics: context-aware categorization that rules can't handle
Taxonomy evolution — Categories change. LEAP re-trains for new taxonomy same day, not a 3-month BERT retraining cycle

The Problem

Mis-categorized products are invisible to browsers. 'Apple AirPods' in Grocery, not Electronics. BERT classifiers need ML teams; rules are brittle on ambiguity.

How LFM Compares

Rule-based taxonomies break on ambiguity. ML classifiers need dedicated teams. LFM categorizes in real time at 35ms — and LEAP re-trains for new taxonomies same-day.

What LFM Unlocks

Real-time categorization at 35ms + full catalog overnight at a fraction of cloud cost. New taxonomy version? LEAP re-trains same day.

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Product Categorization
Classify products into 18 taxonomy categories at catalog scale.

Product Details

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

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