This is a buyer's checklist, not a methods guide
If you want to understand how forecasting methods actually work moving average vs. exponential smoothing, with worked examples see inventory forecasting methods. This page covers what to check before adopting forecasting software or features, regardless of which method it uses underneath. Not ready for software yet? Start with the inventory forecasting template to calculate reorder points by hand first.
What to check before you rely on it
| Check | Why it matters |
|---|---|
| Pulls from real sales history automatically | Manual data entry per SKU doesn't scale and introduces its own errors |
| Adjusts for seasonality/promotions | A flat average under-forecasts peaks and over-forecasts afterward |
| Method is visible/auditable | You need to be able to catch it being wrong for a specific SKU |
| Feeds directly into a reorder point | A forecast that doesn't translate to an order decision has limited value |
"AI-powered" isn't automatically better
AI-based forecasting can outperform simple methods once you have enough clean historical data and SKU volume see AI inventory management for what that actually requires. For a handful of SKUs, a transparent moving-average or exponential- smoothing calculation is often just as accurate and far easier to check by hand when something looks off.
Turning a forecast into an order
The forecast is only step one. See reorder point for how forecast demand plus lead time plus a safety buffer becomes the actual trigger for placing an order the part that turns a prediction into an action.
Trusted by small businesses
What our customers say
“Super Kind! Quick replies from their support and very easy fixes, changed the dashboard a bit and customized it. Also gave me 450 items extra on the free plan just for me. Highly recommend and again great service!”
“Best customer service! Stockflow's customer support is fast and extremely helpful. They assisted me with customization of the software to improve my experience as a user.”