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Data-Driven Commerce
Why This Solution Set Matters
How This Solution Set Works
Data-Driven Commerce consolidates transactional, loyalty, in-store signals and supply-chain data to provide a single, accurate source of truth for category planning and execution. AI models analyze category performance, forecast scenarios, and generate actionable insights that guide assortment plans, pricing strategies, and inventory decisions—enabling retailers and CPGs to measure impact in real time.
Assortment & Merchandising Optimization
Build and optimize category assortments based on real shopper and sales data.
Unified planning tools help retailers and CPGs align merchandising decisions for better space utilization, higher conversion, and faster execution in store.
Pricing & Promotion Performance
Monitor and adjust pricing and promotional activity using real-time performance signals.
Deep analytics analytics guide teams toward the most effective pricing and promotion changes to enhance sales and margin, improving consistency and accuracy in every store.
Inventory & Availability Management
Connect category data with inventory systems to improve on-shelf availability and replenishment accuracy.
Connected inventory data enables retailer and CPG teams to reduce stock gaps, avoid overstock, and keep product flows consistent with demand.
Category Visibility & Insights
Aggregate transactional and shopper data to reveal growth drivers and category performance.
Real-time dashboards enable both retailers and brands to track KPIs, identify missed sales opportunities, and optimize category management.
Retailer–CPG Collaboration
Unify retailer and supplier teams under a single data platform for strategic planning and category execution.
Shared insights improve alignment on assortment, promotion, and inventory objectives, fostering trust and sustainable growth for both sides.
