ML forecasting does not require a PhD—it requires clean history and realistic horizons. Start with last year’s same month adjusted for known events (festivals, promotions, supply gaps).
When ML helps
- Stable product catalogs with 12+ months of sales
- Repeating expense patterns (rent, payroll, utilities)
- Multi-location retail with shared seasonality
When to stay manual
Brand-new SKUs, one-off projects, or post-merger chaos—use scenarios instead of models.
Wiserlytics AI layers forecasts on your uploads. Pair with cash flow forecasting guide for liquidity planning.