Retailer POS Forecast Dashboard
Demand Sensing & Forward-Looking Weeks of Supply
Demand-Sensing POS Forecasts for CPG: See Risks Before They Hit
Alloy.ai’s POS Forecasts use high-frequency sales signals and channel inventory to generate short- and long-term outlooks you can trust. The result: proactive, forward-looking weeks of supply (WoS), smarter simulations and recommendations, and a clean baseline you can export into planning — to fill gaps when retailers don’t provide them.
Generate retailer forecasts based on POS data
Most teams still stitch together backward-looking reports or rely on uneven retailer forecasts. That leaves gaps for seasonal swings, sudden demand shifts, and phantom precision in shipment plans. You need a forecast that reflects what’s actually selling now, accounts for seasonality, and highlights risk before it becomes lost sales.
Retailer POS Forecast Dashboard Capabilities:
Choose the most accurate forecast per SKU / store / partner. Alloy runs multiple models weekly and backtests them so you can select the best signal for each item and location.
See forward-looking WoS. Anticipate shortages or excess by pairing forecasted demand with on-hand and in-transit inventory.
Stress-test plans. Powerful simulations and prescriptive recommendations with live POS-based forecasts to evaluate promo lifts, channel shifts, or price changes.
Export everywhere. Push Alloy POS forecasts to your planning system or data warehouse to form the baseline for demand plans.
Manage by exception. Subscribe to alerts and exception reports that flag emerging supply issues retailers may miss.
Benefits of Alloy.ai’s retailer Forecast Dashboards:
Higher forecast fidelity: Cross-channel, POS-driven forecasts reflect current reality, not just history.
Fewer stockouts and cleaner inventory: Forward-looking WoS surfaces risks early so supply can move before shelves go empty.
Aligned conversations: Compare Alloy’s signal to retailer and S&OP forecasts to reconcile differences and set one operating truth.
Faster decision cycles: Weekly model runs and backtesting keep accuracy tight as demand patterns shift.
Why Consumer Brands Trust Alloy.ai
Purpose-built for CPG retail: Metrics that matter—OOS, WoS, lost sales, phantom inventory—ready out of the box.
Harmonized, trustworthy data: One source of truth both sides can use.
Manage by exception: Rolling, near-real-time views surface the few actions that move the week.