๐Ÿ“ฆ Inventory demand modeling  ยท  down to the variant

A second opinion on inventory demand.

Demandrift forecasts inventory demand for every product you stock โ€” right down to the individual variant โ€” from your historical sales data. A flexible modeling layer that works alongside the forecasting and planning systems you already trust.

Another input, not another platform.
Sits alongside the tools you already run
Your ERP Spreadsheets Planning models BI dashboards Inventory systems
What it does

Another input, not another platform.

Demandrift adds an analytical layer on top of your process โ€” forecasting demand product by product, right down to the individual variant โ€” so you can pressure-test the numbers you already rely on without moving everything into a new system.

๐Ÿ“Š

Alternative demand predictions

Generate a second forecast from your historical sales and compare it, side by side, against the numbers your current tools produce.

๐Ÿ”Ž

Down to the specific variant

Not a blended category average. Demandrift forecasts demand for each individual product โ€” and each variant of it: size, color, pack, SKU โ€” so you plan for the exact things you actually stock.

๐Ÿ“ฆ

Coverage & shortfall signals

Turn projections into per-product coverage estimates and early warnings, so nothing runs short unnoticed.

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Fits your stack

Outputs drop straight into your spreadsheets, ERP or planning models. No migration, no rip-and-replace โ€” just another source of predictive intelligence.

How it works

From sales history to a
second forecast โ€” in three steps.

1

Feed it your history

Connect historical sales and inventory data โ€” a CSV export or a direct pull.

2

Model demand at the variant level

Demandrift projects demand for every product โ€” and every variant of it โ€” with confidence bands you can act on.

3

Compare & decide

Set its outputs next to your existing forecasts and plan with more certainty.

Demand ยท next 8 weeksโ–ฒ 12%
Coverage vs. planOn track
Base6.2 wks
Your forecast5.1 wks

Another source of predictive intelligence.

Not another system to replace what already works. See the model run on your kind of data โ€” 15 minutes, no migration required.