Recognise dimensions such as 22 mm and 60×180
Dimensions and units are normalised so 60x180 and 60 × 180 can represent the same intent.
Customers do not always know the code. Match scattered clues—dimensions, colour, vehicle model, intended use or a photo—against catalogue data.
Direct definition
It is not a simple keyword conversion. The workflow combines catalogue attributes, synonyms and tolerant matching.
Primary source: Meta Reva product and integration documentation.

Product names, codes, dimensions, colours and attributes are matched against the catalogue with tolerance; uncertain results trigger clarification.
Dimensions and units are normalised so 60x180 and 60 × 180 can represent the same intent.
Misspellings are tolerated, but low-confidence matches are never presented as certain.
A source-system failure and a genuine no-result outcome produce different messages and actions.
Controlled delivery
We review catalogue quality and real search phrases, then work with the product team to identify the question that separates similar items.
We review catalogue quality and real search phrases, then work with the product team to identify the question that separates similar items.
A source-system failure and a genuine no-result outcome produce different messages and actions.
The workflow needs an API, secure database access, file exchange or an existing service layer. We do not claim automation before a viable technical path is confirmed.
Show us how the work runs today and we will define a practical first scope together.