shopify/demand forecast

Plan stock around demand, not last year's guess.

Per-SKU 14- and 30-day demand with a confidence band and the drivers behind it, accounting for seasonality and your campaigns.

live template · free to try
demand_forecast.skulive
next 14 days · SKU-2841
0 units
± 0% band
now
driverscampaignseasonality
Why a generic flow isn't enoughA / the problem >>>

Reorder points set by gut lead to stockouts on your winners and cash tied up in your slow movers. A single forecast number hides the risk and ignores the promo you're about to run.

From store data to actionB / how it fits >>>
// you feed it

Shopify sales history per SKU plus your promotions and seasonality.

// it decides

It forecasts 14- and 30-day demand with a calibrated band and attributes the movement to drivers.

// you get

Per-SKU demand with an upper and lower range you can plan inventory against.

How it worksC / the model >>>
01

forecast per SKU

Each SKU gets a 14- and 30-day forecast with a confidence range, not one fragile number.

02

account for context

Campaigns and seasonality are first-class inputs, separated out so you see what moves demand.

03

set reorder points

Size stock against the range, with the cost of over- and under-stocking in view.

What it runs onD / inputs >>>
[✓]Shopify sales per SKU
[✓]Promotion calendar
[✓]Seasonality & events
[✓]Lead times
What you walk away withE / outcomes >>>
±6%honest confidence band, per SKU
14 & 30dtwo horizons, one model
driver-awaresee what moves demand
Common questionsF / faq >>>
Other modelsG / more >>>

Turn it on for your store in minutes.

engine: online