Solutions · 04
Available

Buy what you’re going to sell. No more, no less.

Unit forecasts by product and month on your own sales history, with the average error measured before you start: plan purchasing and inventory with fewer stockouts and less excess.

The assessment on your data is free, with no commitment.

Already have access? Try it with sample data

Forecast by product
example
historyforecast

Where it fits

Distribution and warehousing

Replenish each SKU based on the month’s forecast, not last year’s average.

Food and fresh produce

The waste-versus-stockout balance, month by month and with each product’s seasonality.

Seasonal retail

Each product’s seasonal peaks feed into the month’s forecast, so a flat yearly average won’t catch you off guard.

Tall shelves in a logistics warehouse

How it works with your data

  1. Upload your sales

    Order lines with date, product and units. A CSV is enough.

  2. Validated over your seasons

    Forecasts are checked against your own peaks and valleys before we promise anything.

  3. Periodic forecast

    By product and month, with the average error measured on your history: you’ll know how far to trust the numbers.

SKU

granularity by product and period, not store totals

0

integrations needed to start: a sales CSV is enough

3

rules of thumb the forecast has to beat: last month, the same month last year and the 3-month average. If it doesn’t, we tell you.

Want to see it on your own data?

We’ll show you, for free, what you could save with your own history. No integrations, no commitment.

Get your free assessment