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Catalog cleanup

Find the gaps, conflicts, and duplicates hiding in your catalog.

Turn an inherited or fast-growing catalog into consistent product records that teams can trust and channels can use.

catalog cleanupIllustrative
01

Missing fields

184
02

Value conflicts

27
03

Duplicate indicators

12
THE OPERATIONAL PROBLEM

Catalog errors accumulate quietly across spreadsheets, PIM exports, marketplace files, and copied descriptions.

A focused workflow

Move from scattered inputs to approved output.

01

Profile the catalog

Measure completeness, value consistency, duplicate indicators, and taxonomy health by category.

02

Resolve structural problems

Normalize fields, units, categories, and product relationships without erasing source context.

03

Approve high-value fixes

Prioritize the exceptions blocking launches, channel acceptance, and reliable product discovery.

What the workflow surfaces

Give catalog teams specific work, not another opaque score.

Each engagement defines the source model, expected attributes, validation rules, and output before processing begins.

  • Duplicate indicators
  • Missing fields
  • Unit normalization
  • Conflicting values
  • Taxonomy gaps
  • Review workload
FieldIssueStatus
Input voltage2 source valuesReview
MaterialMissing in 34 recordsGap
Product family12 likely duplicatesInspect
DimensionsMixed unitsNormalized
A practical first step

See the issue in your own product sample.

Start with a representative category and a qualified, secure intake process—no system migration required.

Get a catalog score