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Sales Forecasting Explained

Sales forecasting isn't about being right. It's about giving purchasing, staffing, and cash flow planning a number to work from instead of a shrug.

Key Takeaway: Sales forecasting isn't about being right. It's about giving purchasing, staffing, and cash flow planning a number to work from instead of a shrug.

What's on This Page

  1. The Basic Method
  2. Where Sales Forecasts Get Used
  3. Keeping Forecasts Honest
  4. Checklist
  5. Common Mistakes
  6. FAQ

The Basic Method

Forecasted Sales = Prior Period Sales × (1 + Growth Rate) × Seasonal Factor

This mirrors the inventory forecasting formula in our Inventory Forecasting Explained guide, because the underlying logic is the same: recent history, adjusted for trend and season.

Where Sales Forecasts Get Used

Keeping Forecasts Honest

For further reading, see the U.S. Small Business Administration's guide to managing a business.

Checklist

Common Mistakes

Forecasting once and never comparing to actual results. Without checking accuracy, a forecasting error just repeats every period instead of improving.
Using a flat growth rate all year. This ignores seasonal swings that a simple seasonal index would catch.
Forecasting only at the company level. This hides very different growth or decline happening in individual product lines.
Treating the forecast as a guarantee rather than a planning tool. Overcommitting inventory or staffing based on an unproven forecast number amplifies the cost of any forecasting error.

FAQ

Is sales forecasting different from inventory forecasting?

They use a similar method, but sales forecasting predicts revenue and demand, while inventory forecasting translates that demand into a specific purchase quantity.

How accurate should a small business forecast be?

Perfect accuracy isn't realistic. The goal is a number close enough to guide purchasing, staffing, and cash flow decisions better than a guess would.

What causes most forecasting errors?

Ignoring seasonality and using stale, outdated growth rates are the two most common causes of a forecast drifting from reality.

Should forecasts be done at the company level or per product?

Per product or category is more useful, since a single company-wide number hides very different trends underneath it.

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