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Atlas generates demand forecasts per SKU using historical sales velocity, seasonality patterns, and any live campaigns that are likely to increase sell-through rate.

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What goes into a forecast

Atlas combines three inputs: trailing 90-day sales velocity, year-over-year seasonality from your category, and campaign-driven demand (coordinated with Adam to account for planned budget increases or new campaign launches).

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Reading the forecast

Each SKU’s forecast shows a projected units-sold range over the next 30, 60, and 90 days. The range reflects forecast uncertainty — wider ranges mean Atlas has less confidence due to volatile sales history or insufficient data.

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When forecasts update

Forecasts update automatically every 7 days or when a significant sales velocity change is detected. You can also trigger a manual forecast refresh from a SKU’s detail view.