cohentrixProduct classification, with review built in.
Cohentrix turns inconsistent product labels into proposed structured fields. Your team reviews the mapping in context, records decisions, and develops a consistent reference.
- Agree the source and taxonomyIdentify the records, markets, category hierarchy, and review responsibilities. Source preparation and ingestion are agreed as part of the implementation.
- Generate proposed mappingsUse AI assistance to propose category, subcategory, product, and variant fields. Treat output as a suggestion rather than an established fact.
- Review with the original recordCompare the source wording with the proposed structure. Correct the fields and record an acceptance decision.
- Keep a reference and decision historyMake reviewed mappings available alongside recorded changes and review status.
Make the state of the data visible.
| State | What it means | What it does not establish |
|---|---|---|
| Proposed | An AI-assisted mapping is available for review. | Correctness or business acceptance. |
| Accepted | A review decision has been recorded. | Independent verification or universal accuracy. |
| Verified | A separate verification status is recorded. | A substitute for agreed completeness and quality checks. |
Country and organization context.
The existing application includes organization and country roles, review screens, mappings, reference records, and decision history. The scope and responsibilities for a generic deployment should be agreed during a pilot.
Start with the difficult records.
Use a representative sample—not only clean examples. Include ambiguous descriptions, inconsistent units, local vocabulary, and records that your team would send back for clarification.
Evaluate before expanding.
Agree coverage, field completeness, reviewer agreement, correction rate, and error categories. Measure outcomes by market and product category before making broader claims.
Campaign analytics, BI connections, bulk source ingestion, and customer-specific rules should be discussed as explicit implementation scope. Availability and readiness need to be confirmed for your deployment.