Department
AI for product and merchandising teams
Product and merchandising teams carry the cost of inconsistent product data, slow enrichment and disconnected catalogues. AI is useful where it cleans data, drafts content and surfaces gaps for review.
Who this is for
Heads of merchandising, product managers and ecommerce leads who own product data quality, range and catalogue work.
Common problems we see
- Inconsistent product information across systems and channels.
- Slow enrichment that bottlenecks launches.
- Disconnected PIM, ERP and ecommerce stacks.
- Manual review work that does not scale.
Workflows we improve
- Product data and enrichment workflows.
- Approval and review workflows on catalogue changes.
- Search and retrieval across product attributes.
- Monitoring and alerting on data quality.
Systems and data usually involved
- PIM (Akeneo, inRiver, Salsify, custom).
- Ecommerce platforms and marketplaces.
- ERP and inventory systems.
- Shared drives and content systems.
What WithPraxis might build
- Product data review tools that flag missing or inconsistent fields.
- Drafting assistants for descriptions, attributes and translations.
- Catalogue change workflows with clear approvals.
- Quality dashboards on data completeness and consistency.
Governance and control
Changes go through review, sources are tracked and AI outputs sit alongside human checks before publication.
Where this connects