Industries — Retail & consumer goods
Sales, products and points of sale finally reconciled.
Retail's problem isn't the volume of data, it's its movement: assortments that change every season, stores that open and close, revised product hierarchies, sources that don't talk to each other.
The situation
Two meetings, two different sales figures, no way to settle it
POS, e-commerce, supply chain, loyalty, HR: each system produces its own figures, with its own definition of product, store and business day.
When the product hierarchy is reorganized, year-over-year comparisons break. When a store changes format, network history becomes unreadable. Teams' time goes into manual reconciliation before the first business comment is even made.
beVault brings these sources together into a historized database, reconciles product and point-of-sale reference data by business keys, and then feeds the operational dashboards.
What is reconciled and historized
Six data families
- 01
Products
Codes, labels and hierarchies change: mappings are preserved, so analyses stay comparable over time.
- 02
Stores and points of sale
Openings, closures, format changes or regional reassignments are dated rather than overwritten.
- 03
Sales
POS and e-commerce feed the same database, each at its own pace, through incremental loads.
- 04
Inventory
Levels and movements are kept at their original date, making breaks analyzable after the fact.
- 05
Clients
Loyalty data is linked to sales without imposing a single reference system on operational systems.
- 06
Suppliers
Supply chain and procurement share the same business identifiers as the rest of the chain.
What you get
A sales figure may still be questioned on substance, but never again on where it came from.
Relevant beVault capabilities in this context
Where to go from here
Validated reference
EXKi
A restaurant chain that unified its sales data and reference data to run its network.
Next step
