Reference architecture — an illustration of how we would approach this problem, not a client engagement
Connecting Data Across a Multi-Location Retail Business
How we would bring separate POS, inventory, and e-commerce systems together into one governed cloud data platform.
The Problem
Picture a retailer with several locations. Inventory, POS, and e-commerce data sit in separate systems. Store managers restock using numbers that are a day or more old. Finance and merchandising each pull from a different source, so their reports don't agree.
The Architecture
Data from each system lands in a cloud lakehouse in three layers: raw (Bronze), cleaned (Silver), and business-ready (Gold). POS and inventory data feed governed tables, and the Gold layer supports both reporting and a simple demand forecast. Row-level security means each regional manager only sees their own stores.
The Solution
Store managers get inventory numbers that refresh during the day, plus suggested reorder quantities. Finance and merchandising work from the same Gold tables, so they start from the same numbers.
Why This Approach
It starts with the foundation: connecting the systems and agreeing on definitions. Forecasting only comes after the data can be trusted. Each step is useful on its own, so the work can stop at any point and still leave the business better off.
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