What we need
A data batch, category rules and a definition of required fields and acceptable sources.
PRODUCT DATA / 04
Product data cleaning and validation
Catch the problem before it reaches your catalog.
Tell us about your projectThe work we want to take off your hands.
A populated field can still be wrong: incompatible units, conflicting values or duplicate references.
What we do
We check types, formats, ranges, consistency and possible duplicates, separating safe corrections from decisions your team needs to make.
What you receive
A normalised file and an exception register by reference, field, reason and source.
We start with a defined batch.
First we review a sample. Then we agree sources, fields, quantity, checks and delivery. You do not need the entire lifecycle or a new platform.
Completeness does not prove accuracy. An unresolved conflict is never presented as a validated value.
See an example transformation →Related services
START WITH A SAMPLE
See what your products could become.
Tell us what needs improving. We assess feasibility and agree a sample before quoting the work.
You can list up to 20 references. We will assess a sample of up to 5 products depending on sources, permissions and complexity.
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