Demand & Supply Intelligence: Hierarchical SKU Demand Sensing, Promotion Intelligence & Store Rebalancing
Move beyond naive moving averages to probabilistic Bayesian demand planning and automated DC replenishment.
"Deliver granular SKU-store level demand forecasts incorporating promo uplift and weather anomalies, then generate feasible replenishment and DC rebalancing orders that maximize on-shelf availability."
Benchmark Impact & Verified ROI
How the Decision Engine Executes
From raw ERP and source system transactions into approved, constraint-validated execution write-backs.
POS & Sell-Out Ingestion
Ingests daily register transactions, store inventory, distributor sell-out, and e-commerce orders via Snowflake/Databricks.
Hierarchical Bayesian Sensing
Decomposes baseline demand, price elasticity, promotional uplift, local weather, and holiday calendar regressors.
Forecast-Value-Add (FVA) Audit
Evaluates automated model accuracy vs manual planner overrides to eliminate human bias and improve future cycles.
Multi-Echelon Inventory Optimization
Calculates dynamic safety stocks and reorder points across central warehouses, regional DCs, and retail stores.
Store / DC Rebalancing Solver
Generates lateral transshipment recommendations to move excess inventory from slow stores to stockout-risk locations.
ERP Purchase & Transfer Orders
Approved replenishment schedules are pushed directly into SAP IBP, Blue Yonder, or Oracle NetSuite for execution.
Nested Accelerator Modules Included in this Pack
Activate the flagship engine standalone or combine with specialized department modules.
Promotion Intelligence
Models promotional lift, baseline volume, halo sales, and cross-category cannibalization for trade marketing campaigns.
Inventory & Replenishment Optimization
Sets dynamic service-level targets and optimal order quantities accounting for supplier lead-time variability.
Store / DC Rebalancing
Solves linear programming models to balance inventory across geographic nodes while minimizing inter-store freight costs.
New Product Forecasting
Synthesizes demand curves for new SKU launches using attribute similarity matching against historical product lifecycles.
Allocation & Service Optimization
Fair-share constrained allocation algorithm prioritizing high-tier retail partners during national supply disruptions.
Canonical Data Model & Integrations
Built following the Seven Billion Retool & Python Decision Service standard.
Canonical Entities & Data Feeds
demand_factsku_dimensionstore_dc_locationpromo_calendarreplenishment_orderrebalancing_transfer- Historical Point-of-Sale (POS) Data
- Store & DC On-Hand Inventory Balances
- Promotional & Marketing Calendars
- Supplier Lead Times & Minimum Order Quantities (MOQ)
- 14/30/90-Day Probabilistic Demand Forecasts
- Recommended Store Replenishment Orders
- DC-to-DC Stock Balancing Transfers
- Vendor Purchase Order Requisitions
Scale & Enterprise Connectors
Frequently Answered Specifications
Deploy Demand & Supply Intelligence in Your Private Cloud
Schedule an architecture session with our mathematical and AI systems engineers. We will inspect your ERP schemas and present a live shadow prototype.