Category hierarchy
Organize products from broad commercial categories down to the level of detail needed for the decision.
A consistent classification model helps teams compare products across sources, markets and channels without inheriting every inconsistency in the original listing structure.
Explore our approach
Technology matters when it creates a clearer, more comparable and more responsible basis for decision-making.
Organize products from broad commercial categories down to the level of detail needed for the decision.
Structure dimensions such as brand, format, variant, pack, quantity and other category-relevant properties.
Review unusual, ambiguous and high-impact classifications rather than relying on automated labels alone.
A repeatable analytical workflow helps teams interpret market movement without reducing complex evidence to a black box.
Agree the taxonomy and attributes that matter to the market question.
Apply repeatable rules and machine assistance to organize the product set.
Examine exceptions and refine mappings where source information is incomplete.
A common category tree makes comparison possible even when marketplaces organize products differently.
The useful attributes for beauty, electronics and food are not identical; the model should reflect the category.
Automation increases scale, while review focuses attention on ambiguity and commercially important exceptions.
Classification rules should remain traceable as categories, terminology and market behavior evolve.