AI Product Categorization
How to launch AI categorization to reduce manual work and maintain accuracy on a large catalog.
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Key principle: AI works most accurately when names, attributes, and category structures are already cleaned of duplicates and noise.
1. When to Launch AI Categorization
- During mass import of a new supplier.
- When manual categorization takes too much time.
- Before preparing a feed for advertising channels.
2. Preparation Before Launch
- Clean names from technical noise and duplicate fragments.
- Check basic attributes: brand, type, model, compatibility.
- Break down complex product groups into separate launch packages.
- Run the first test on a sample of 100–200 products.
3. Quality Control of Results
- Check not only the top level but also the final subcategory.
- Individually control "risky" products with similar names.
- Record frequent errors and use them as a checklist for the team.
- After stabilization, move from sampling to the full catalog.
4. Common Mistakes
- Unclear names without product type.
- One large mixed batch without group distribution.
- Lack of manual check after the first launch.