Retail Sales Forecast Template

Once your drivers are in place, move to the Category Forecast sheet and map out your product mix. Enter each department or category with its projected unit volume, average selling price, and expected sell-through rate. This step takes the most time, but it's where the forecast earns its value — retail businesses with 8–12 product categories get a much clearer picture of margin contribution by department than they would from a single-line revenue projection. The Monthly Sales Forecast and Dashboard update automatically as you fill in the category data.

The most useful retail forecasts are built from drivers, not gut feel. That means projecting foot traffic or web sessions, estimating conversion rates, and working out the average transaction value — then multiplying those through to a revenue number. This approach forces clarity on which levers actually move your sales. Is your revenue gap a traffic problem or a conversion problem? Are you growing average order value or just selling more low-margin units? Driver-based forecasts answer those questions because the assumptions are visible and testable rather than buried in a single number.