Data & automation for retailers
A retailer moves fast on sales, prices, stock, and promotions, but the data is distributed across stores, ecommerce, marketplaces, CRM, and warehouse systems
Where it hurts
A gap between sales and stock: popular items run out while weak ones sit.
Promotion effectiveness is judged without margin, stock, and uplift against a baseline.
Category analytics are assembled by hand or arrive after the decision was needed.
Data from stores, site, marketplaces, and warehouse is never consolidated onto one hierarchy.
Problems become visible after the period closes, not while there is still time to act.
A continuously updated view across stores, channels, and stock, plus decision support for the questions a category or store manager needs answered daily.
What we put in place
- A consolidated view of sales and stock across stores, ecommerce, and marketplaces.
- Promotion analytics that account for margin, stock, and uplift against a baseline.
- Category performance calculated automatically on one product hierarchy.
- One reference model for SKUs and categories across every channel.
- Alerts generated during the reporting period, before period close.
How we work with you
For retailers the audit concentrates on channel coverage: which of POS, ecommerce, marketplaces, CRM and the warehouse actually report, how SKU and category reference data differs between them, and how promotion results are currently calculated. The build then consolidates the channels onto one product and category hierarchy, and applies the promotion and category logic — uplift against baseline, with margin and stock included — so results are comparable across channels.