Product category classification is easy for ten items and painful for ten thousand. Product names are inconsistent, manufacturers use different naming conventions, and generic keyword matching can put the same product into the wrong tax or ecommerce category.
A reliable workflow combines rules, reference examples, confidence scoring, and human review.
What makes product classification hard?
| Issue | Example | Risk |
|---|---|---|
| Generic words | Kit, pack, set, holder | Weak matches |
| Manufacturer context | Same word means different item by brand | Wrong category |
| Medical or regulated terms | Syringe, catheter, wound dressing | Needs priority handling |
| Abbreviations | HDPE, SS, IV, OTC | Missed semantic match |
Step 1 — Start with clean input columns
At minimum, keep SKU, product name, and manufacturer separate. Do not combine everything into one description field.
Manufacturer context is especially useful when product names are short or generic.
Step 2 — Build a rule layer for high-confidence terms
Rules should catch obvious categories before fuzzy matching runs. For example, medical product terms, batteries, apparel, food, chemicals, or tax-sensitive categories should be handled first.
Step 3 — Match against reference examples
Use your existing classified products as training examples. For each new product, compare the full product name and manufacturer to known examples.
- Exact manufacturer + similar product name = strong match
- Similar product name but different manufacturer = medium match
- Generic keyword only = weak match
Step 4 — Return two predictions, not one
For business workflows, a second prediction is valuable. It shows the reviewer where the uncertainty is and helps catch borderline products.
| SKU | Prediction 1 | Confidence | Prediction 2 | Confidence |
|---|---|---|---|---|
| SKU-1044 | Medical Supplies | 0.91 | Healthcare Equipment | 0.64 |
| SKU-2081 | Electrical Components | 0.83 | Hardware | 0.58 |
Step 5 — Create a review queue
Do not manually review every row. Review only the rows where confidence is below your threshold or where the top two predictions are close.
Need bulk product classification?
ExcelOps can classify products from spreadsheets using category rules, reference data, manufacturer context, and confidence scoring.
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