AI agents · Data quality agent
Find the errors before your customers do.
The quality agent continuously checks the catalogue against each channel's rules and gives you a prioritised list of what to fix and how.
What it is
Data quality agentAn AI agent that continuously audits product data quality — completeness, consistency, formats, duplicates and identifiers — against the rules for each channel and language, and proposes prioritised fixes.
What it does
From gap to proposal, without anyone asking.
- Measures completeness per channel and language
- Detects inconsistent units, wrong formats and invalid EAN/GTIN codes
- Finds duplicate products and descriptions
- Prioritises by impact: whatever blocks publishing comes first
How it works, step by step
Governance
What the agent cannot do.
- Proposes, but does not correct master data without approval
- Treats attributes coming from the ERP as the source of truth
- Every approved change is recorded in the history
- Its reports can be exported for your team
Frequently asked questions
What is completeness?
The percentage of required attributes that a product record has filled in for a specific channel and language.
Does it validate EAN codes?
Yes: it checks the format and check digit, and that codes are not repeated across products.
AI agents
Data's agents, one per job. Each with its own permissions and change log.
- 01
Enrichment
Titles, descriptions and attributes that follow your brand guidelines.
- 02
Translation
Every language you sell in, with your glossary and no duplicate products.
- 03
Data quality
Gaps, inconsistencies and duplicates, prioritised by channel.
- 04
Categorisation
Your category tree and each channel's taxonomy.
- 05
Supplier onboarding
Supplier files turned into product records ready for review.
Try it with your own catalogue.
30 days with every feature of the plan you choose, AI agents included on Growth and Scale. No card, no lock-in.