Retailer POS Forecast Dashboard Demo Video
Watch Alloy.ai’s POS Forecast demo: demand-sensing forecasts, forward-looking WoS, weekly backtesting, and exports to planning systems to prevent stockouts.
WatchThe three principles of modern demand forecasting, and the five data types needed for a best-in-class forecast
No matter what types of products you make or which technologies you use, a best-in-class forecast is based on one thing: unconstrained demand, or the amount that you would have sold if the product were always available on the shelf (physical or virtual), when and where a consumer wanted to buy it.
AI and machine learning, causal or seasonal factors, and more certainly help get you closer to a more accurate forecast, but they’re aren’t the biggest difference makers.
In The No-Nonsense Guide to Forecasting, we’ll dive into the three most important factors in building a more accurate forecasting process, including:
Watch Alloy.ai’s POS Forecast demo: demand-sensing forecasts, forward-looking WoS, weekly backtesting, and exports to planning systems to prevent stockouts.
WatchWatch the Alloy.ai Collaborative Replenishment demo to see how you can surface current and chronic out-of-stocks and phantom inventory, and align with retail partners to...
WatchWatch Alloy.ai’s Cross-Retailer Scorecard demo to compare retailer performance weekly, spot outliers fast, and drill from partner to location to SKU to act fast.
Watch