Growing catalogues, growing order volume, growing backlog. We give e-commerce and retail companies a dedicated team for the data work that scales faster than internal headcount usually can.
E-commerce and retail companies typically struggle with product catalogues that have grown faster than their data discipline: inconsistent categorisation, missing or outdated metadata, duplicate listings, and a steady stream of new SKUs that need review before they go live. On the operations side, order data entry and inventory reconciliation pile up just as fast.
A retail client has 50,000 product listings needing review, standardised categorisation, and metadata tagging. Three Prime Quest associates handle roughly 120 records each per day — about 1,800 per week — accessing the data through the client's own cloud environment via named, MFA-protected accounts. No data is stored locally in Nepal.
Catalogue and order data work is repetitive, high-volume, and easy to specify clearly — exactly the kind of work our daily-QA workflow is built for. You get a 95% accuracy standard from Week 3 without pulling your own operations team off higher-value work.
We'll come back with a realistic team size, timeline, and pilot price within a few business days.