How does Salesdamus forecast sales?

It fits proven statistical models to your history — linear trend, Holt-Winters seasonality and more — then backtests them and uses whichever one predicted your recent past best. Bootstrap and Monte Carlo simulation turn that into honest 95% confidence intervals.

Completely. No account, no credit card, no catch. Salesdamus runs entirely in your browser, and your data never touches a server.

How much data do I need?

Two periods to start. Twelve or more unlocks reliable trends and accuracy scores; twenty-four or more lets it spot seasonality and forecast holiday and quarterly cycles.

As accurate as your data allows — and it's transparent about it. Every forecast comes with a backtested error rate and a confidence interval, so you know exactly how much to trust the number.

Can I trust the forecast?

Treat it as a grounded estimate, not a prophecy. The 95% interval shows the realistic range, and it widens further out because the future gets fuzzier the longer you look.

Restaurant sales forecast calculator

Preloaded with a sample restaurant's monthly revenue — replace it with your own numbers and forecast next month's sales, patio-season swings included.

Restaurant revenue tends to move with the calendar — summer patio season, holiday parties, slower months after New Year. Salesdamus doesn't need a POS integration: paste in your monthly totals from whatever system you already use, and with two-plus years of history it can test whether a seasonal pattern actually improves on a flat trend.

It forecasts total revenue, not covers or average check separately — track those individually if you want to see which one is driving the change.

> DATA FOR ANALYSIS

Paste from Excel (Ctrl+V), import a CSV, or load an example

TRY EXAMPLE:

MONTH ?	SALES ?	EXPENSES ?	CONVERSION % ?

Drop a CSV file anywhere on the table

> WHAT TO FORECAST

SALES

Total revenue for the period

PROFIT

Net profit after deducting expenses

CONVERSION

Share of buyers from total visitors

GROWTH

Growth relative to previous period

> CALCULATION METHOD

BAYESIAN SHRINKAGE[P(θ|data)]

Shrinkage toward the mean for small-sample forecast stabilization

BOOTSTRAP CI[x̄* ± CI]

Residual resampling for confidence interval construction (1000 iterations)

MONTE CARLO SIM[N(ŷ, σ²)]

Parametric simulation from forecast distribution (10,000 samples)

> FORECAST HORIZON

How many future periods to project. Confidence intervals widen further out.

3 periods

Press to launch forecast

> REVENUE GOAL

Have a target? See what growth rate it actually needs — checked against your real history.

TARGETIN HOW MANY PERIODS

FAQ

Can I use weekly instead of monthly sales?

Yes — each row is just one period. Use weeks if that's how you track sales, just keep the cadence consistent across your whole history.

What about a new location with little history?

It works from two months, but treat an early forecast as a rough estimate — the confidence interval will be wide until you build up more history.

→ How the forecasting models work