Product Data Specialists
Catalogue work is throughput work. When your team is the constraint, we add senior taxonomy and PIM operators who already know the tooling.
The problem
Enrichment backlogs do not clear themselves, and they compound
Every month of attribute debt shows up in filters, feeds and AI answers at the same time. Teams know this and still cannot clear it, because the work competes with trading priorities every single week.
Embedded operators absorb the throughput without pulling your merchandisers off trading, and they work to your governance rather than inventing their own.
What you actually get
Every engagement ships these. No line items you cannot point at.
Enrichment throughput
Attribute completion at agreed weekly volume, highest-revenue categories first.
Taxonomy maintenance
Category and attribute model kept coherent as ranges change, instead of drifting each season.
Supplier onboarding
Supplier data chased, normalised and loaded, so the intake process stops being a merchandiser task.
Coverage reporting
Weekly completeness scoring by category, so the backlog has a visible burn-down.
Typical outcomes
0 weeks
Median time to placement
0%
Attribute coverage reached on median engagement
0.0k
SKUs enriched per operator per month
How we run it, week by week
Match and governance
We agree required fields, quality bar and priority order before anyone touches a record.
Embed
Operator in your PIM, your rituals, your priority list.
Burn-down review
Coverage by category against plan, with throughput adjusted to trading priorities.
Intake rules documented
The process is written down so coverage holds after the engagement ends.
Stack we work in
Platform-agnostic. We work in whatever you already own and tell you honestly when it is the constraint.
Questions buyers ask us
Yours. We work to your governance and your quality bar, because the data has to keep working after we leave.