Product Information Management
Product information your channels can actually use.
One item should not have three different sizes, missing safety text and a different name in every sales channel. We establish a product-data model and publishing workflow that lets your team correct information once and see where it is used.
DIRECT ANSWER
Wavect implements product-information management and catalog automation: taxonomy, attributes, variants, enrichment, validation and publishing to agreed channels. The work connects a governed product record to the teams and systems that depend on it.
Best for
- Retailers managing inconsistent product catalogs across channels
- Teams that spend too much time repairing supplier spreadsheets
Consider another approach
- A generic business-system integration or an analytical data warehouse
Agree what identifies a product
Separate the product family, sellable variant and channel listing. Decide which system owns each identifier and attribute, how units are represented and how language variants relate. The model should reflect what customers and operations need, rather than every column in the oldest spreadsheet. We document examples that settle ambiguous cases before importing the whole catalog.
Give incomplete records a visible destination
Supplier imports enter a reviewable staging flow. Validation checks required fields, controlled vocabulary, units and incompatible combinations. Your team receives a useful reason when a record cannot publish. Approval roles and change history show who accepted a value. Existing PIM software is assessed first; custom extensions are scoped for requirements it cannot cover adequately.
Automate the repeatable work, review the uncertain fields
Rules or AI can suggest tags, categories and descriptions, but the source and reviewer remain traceable. Technical specifications and regulated product statements need an approved source. Image and document extraction can be handled through Document AI when required. Corrections feed the process instead of becoming a separate spreadsheet that nobody synchronizes.
Illustrative check: one size change reaches the right listings
A sample variant changes its dimensions. The workflow validates the unit, records approval and updates the intended channels without creating a second product. One channel rejects its payload; the operator sees the cause and retries that publication only. The exercise tests consistency and recovery, not a claimed reduction in catalog workload.
Keep channel requirements out of the master record where possible
Map the governed record into each destination’s naming, categories and mandatory fields. Maintain publication status and reconciliation so a successful export can be distinguished from a successful import. API Integration covers the transport and retry plumbing; this engagement owns the product meaning, validation and publishing rules applied to it.
Make stewardship part of the deliverable
You receive the data dictionary, mappings, validation rules, migration records and operating guide in your accounts. Name owners for category changes, supplier onboarding and publication failures. An analytical copy for dashboards belongs to Data Engineering. Search quality can then improve on a reliable catalog through AI Search & Recommendations.
Questions before you start
Not necessarily. We compare the workflow against your existing tools and the cost of running another system before recommending a platform.
Yes. A representative supplier and category can expose data-model and approval problems before a wider migration.
Only within an agreed process. We define source material, prohibited claims, review requirements and how corrected text is retained.
Yes. We distinguish shared technical attributes from localized text and track which translations are approved for publication.
Scope your product data workflow
Tell us where product records originate, who edits them and which channels reject or misrepresent them. Bring a small anonymized sample after access is agreed.