Product catalog quality
Incomplete attributes and duplicate item records create inconsistent product listings across channels.
The challenge behind the workflow.
Incomplete attributes and duplicate item records create inconsistent product listings across channels.
Connect demand, inventory, orders, fulfillment, and customer permissions. Give merchandising and operations teams a common view of what changed, where the data is incomplete, and which action needs review.
Data to bring together
- Product master
- Supplier catalogs
- Channel listing data
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Map product identifiers and validate required attributes for each channel.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify conflicting descriptions, missing dimensions, and duplicate candidates.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver an owned catalog quality queue with suggested source records.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A product catalog quality queue
Make the next run easier.
Reusable attribute checks reduce repetitive review when suppliers add products.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Catalog exceptions resolved per review cycle
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Product owners approve merges and customer-facing descriptions.
AI with professional judgment.
Use AI to explain anomalies and draft planning commentary. Merchandising, pricing, customer outreach, and stock decisions stay with authorized teams.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.