Ecommerce

Demand Forecast Calculator

Three months of history, averaged one way and trended another, gives a working forecast without a statistics package.

The last three months, and the growth you expect

Recent history

units

Units sold in the earliest month.

units

Units sold in the middle month.

units

Units sold in the most recent month.

Expected growth

%

Expected month-over-month growth (can be negative).

Next-Month Forecast

126

Three-month average grown by the rate you entered.

Formula verified 13 September 2026

3-Month Average

120.0

Mean of the three months entered.

Trend-Based Forecast

147

Latest month grown by the rate.

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Two forecasts from the same inputs

How the smoothed and trend-based forecasts are built from your three months and growth rate. The moving average grows the mean of all three months; the trend view grows only the latest. When sales are climbing, the truth usually sits between them.

FigureHow it is foundUnits
3-month average(100 + 120 + 140) / 3120
Next-month forecast ◀Average × (1 + 5%)126
Trend-based forecastLatest month × (1 + 5%)147

Estimates only — not financial, tax, or professional advice.

100% private — every number you enter is calculated in your browser and never sent to our servers.

What it calculates: Next-Month Forecast, 3-Month Average, Trend-Based Forecast.

Updated 5 June 2026 · Transparent assumptions

One assumes the level holds; the other assumes the direction continues

The moving-average forecast takes the mean of the three months and applies your growth rate. It is stable and ignores month-to-month noise, which is what you want when demand is essentially flat with random variation.

The trend forecast extends the direction the three months are moving in. It responds faster to a genuine change and overreacts to a one-off. Seeing both is the point: when they agree, the forecast is reasonably safe, and when they diverge sharply, the recent months contain something worth understanding before ordering against either.

Enough to catch a trend, not enough to see a season

Three periods cannot distinguish a genuine upward trend from the approach of a seasonal peak. A forecast built on August, September and October will extrapolate straight through a Christmas that the data has never seen.

Where seasonality is material, the more reliable comparison is the same months a year earlier, adjusted for overall growth. Use this tool for stable categories and short horizons, and treat its output on a seasonal line as a starting point only.

Everything downstream inherits whatever you enter here

The growth percentage is not derived from the data — it is your assumption about the future, and the forecast is only as good as it. An optimistic rate produces an optimistic order, and the stock sits in a warehouse being wrong for months.

Running the forecast at three rates — flat, your expectation, and half of it — brackets the outcome. Ordering against the conservative end and reordering into demand costs less than the reverse.

What to do with the number once you have it

The forecast feeds the reorder point and the order quantity; it does not decide them. Lead time, safety stock and the economic order quantity all sit between this figure and an actual purchase order.

Track how wrong it turns out to be. A forecast consistently 20% high is more useful than one with no track record, because a known bias can be corrected — and reviewing that gap is what makes the next forecast better.

Sources & References

Figures on this page are checked against primary, authoritative sources. Links open in a new tab.

Related Calculators

Reorder PointThe stock level that triggers a reorder, covering demand through the lead time plus your safety buffer.
Economic Order QuantityThe order size that minimises ordering and holding cost together, with the total that results.
Sell-Through RateThe share of received stock that sold in a period, with the daily rate and units still on hand.
Daily Sales TargetA monthly revenue target broken into daily revenue, orders a day, and the sessions those orders need.

More in Business, or browse all calculators.

Business disclaimer

Results are estimates for planning and analysis based on the figures you enter. They are not accounting, tax, or financial advice — verify with your own records and a qualified professional before making decisions.

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Authorship & verification

Written and maintained by , a business operator who builds spreadsheet-based calculators.

What's changed (3 updates)

Published 13 September 2026

  1. Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
  2. Tested both the moving-average forecast and the trend forecast against hand-computed figures from three months of history.
  3. Tested that a flat three-month history makes both methods agree, and that a zero growth rate leaves the average untouched.

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