Categorisation into your category tree
Not by keywords but by evidence. A product is categorised automatically only when at least two independent sources agree.
Why name-based rules fail
The rule “number + g in the name = spinning lure” also sends rods, feeders and leads to the wrong category. The word “Fluoro” in a lure name is a colour, not fluorocarbon line, and “X8” is a bite alarm model, not an 8-strand braid. Errors like these go unnoticed and happen at scale.
How we categorise
- Manual confirmation always takes priority and is never overwritten.
- Supplier category mapping that you confirm once also applies to the supplier’s new products.
- Reference shops: the same EAN in online shops you choose, with their category mapped to your tree.
- AI based on definitions of your categories: what belongs in a category and what doesn’t.
- Sanity check: a product that doesn’t resemble the others in its group (e.g. a spare quiver tip among rods) is assessed separately.
Additional trees
Besides the main tree, you can add further trees, for example by intended use. A product has one main category and also appears in the additional trees wherever the evidence says it belongs.
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