Use Cases

Retail

Key Outcomes: Demand forecasting, inventory optimization, personalized marketing

  1. Demand Forecasting & Inventory Planning • Integrate product, store, and external event graphs to predict demand with 20% lower error. • Optimize stock levels across hundreds of locations.
  2. Next‑Best‑Offer & Cross‑Sell • Use customer purchase behavior and product affinity graphs to surface relevant upsell opportunities. • Increase basket size by 8–10%.
  3. Price Optimization & Promotion Planning • Model competitor pricing and promotional lift in a unified relational framework. • Improve margin by 3–5% through dynamic pricing strategies.