Practical guides on demand planning, merchandise forecasting, and retail buying strategy.
The reorder point formula, worked examples for real retail scenarios, common mistakes that cause stockouts, and when it makes sense to stop doing it by hand.
Everything you need to fully set up Reactive SDP — from preparing your data and configuring every setting to reading forecasts, using size curves, running price simulations, and exporting purchase orders. The comprehensive reference for new users.
A demand forecast is only as good as the edge cases it handles. Here are 18 real-world scenarios that silently corrupt inventory plans — from stockout bias and viral spikes to cannibalization, markdown-only demand, and seasonal mismatch — and how a modern planning engine detects them automatically.
A side-by-side walkthrough of building a seasonal demand forecast in a spreadsheet versus using software designed for the job — including where each approach breaks down and when to switch.
Everything you need to go from a blank screen to your first forecast in under 30 minutes. Covers data preparation, uploading your CSV, reading the output, and placing your first reorder.
Weeks of cover is the single most actionable number in merchandise planning. Here's what it actually means, how to calculate it correctly, and how to use it to stop over-buying and under-buying at the same time.