A leading grocery retailer and a global CPG manufacturer partnered to unlock value from integrated data sharing, moving beyond fragmented, lagging insights to a unified, real-time view of demand.
Both organizations faced inconsistent forecasts, inefficient promotions, and limited visibility into on-shelf performance, constraining growth and increasing working capital requirements. The partners established a secure, cloud-based data exchange that integrated POS, inventory, loyalty, and digital engagement data with the manufacturer’s supply, trade, and media datasets.
A common data model and governance framework ensured consistency, access control, and speed. Joint analytics teams developed shared dashboards and use cases spanning demand sensing, promotion optimization, assortment refinement, and media targeting.
Advanced algorithms enabled near real-time demand forecasting at the store-SKU level, improving replenishment precision and reducing volatility. Promotion planning shifted from historical heuristics to forward-looking scenario modeling, aligning spend to incremental impact. On-shelf availability was continuously monitored, enabling rapid intervention and execution consistency across stores.
The results were material. Forecast accuracy improved by 20 percent, on-shelf availability increased by 5 points, and promotional ROI rose 12 percent. Inventory days declined while service levels improved. More importantly, the collaboration established a scalable data-sharing model that transforms insights into synchronized action and positions both partners to compete in an increasingly data-driven retail environment.