Next-quarter revenue forecasting
Forecasting next quarter's revenue by eyeballing last year's numbers and adding a guess for growth leaves real money on the table - or sets a budget you can't hit. This playbook combines trailing data, seasonality, and macro signals into a forecast you can actually plan against.
Pull 12+ months of trailing revenue
Per unit if possible - seasonality and growth patterns often differ meaningfully between locations even in the same brand.
Layer in seasonality and known events
Holidays, local events, and known closures or openings should adjust the baseline trend, not just a flat extrapolation.
Generate and stress-test the forecast
Get the AI's projection, then sanity-check it against what you and your area leads already know is coming next quarter.
Worth knowing
Treat the AI forecast as a strong first draft, not a final number. Local knowledge - a competitor opening nearby, a planned renovation - won't be in the historical data and needs a human adjustment.