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Industry Case Studies
Unified Multi-Region Retail Demand Visibility with SQL Dashboards
SQL dashboards that unified retail demand visibility across regions, delivering a 15% revenue uplift with faster planning and consistent multi-region metrics.
- Industry
- Retail
- Region
- Australia
- Focus
- SQL demand dashboards
Representative engagement — figures are illustrative of the outcomes this approach is designed to deliver, not audited client results.
Challenge
A multi-region retailer ran demand planning on fragmented spreadsheets and disconnected store systems, so each region reported sales, stock, and promotions on its own definitions. Leadership had no single, trusted view of demand, and reconciling regional numbers slowed every planning cycle. Inconsistent metrics made it hard to compare store performance or judge whether promotions actually paid off.
Solution
The approach: a governed SQL analytics layer feeding interactive dashboards that give planners unified, real-time demand visibility from the group level down to individual stores. The platform combines demand forecasting and promotion analysis with consistent, reconciled metrics, so every region reads from the same definitions. Planners adjust stock and campaigns from one trusted view instead of stitching together regional spreadsheets.
Approach
- 1
We consolidated transactional, inventory, and promotional feeds from every region into a governed warehouse through repeatable ETL pipelines.
- 2
We defined a shared metric layer in SQL so demand, sales, and promotion measures meant the same thing across all stores and regions.
- 3
We built demand forecasting and promotion-analysis models on top of that layer to surface trends and quantify campaign impact.
- 4
Real-time, store-level KPI dashboards, with each figure validated against source systems alongside the planning teams.
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