Smart Forecasting for Real-World Demand
Use rolling twelve-month averages, then adjust for local events, holidays, and channel shifts. A café near the stadium learned to up pastry orders before home games and reduce them during away weekends. Which “non-obvious” local factors drive your swings? Share them so others can learn from your neighborhood wisdom.
Smart Forecasting for Real-World Demand
Annotate past promotions and seasonal peaks in your data, then apply simple seasonal indices rather than starting from zero each year. A toy shop cut January overstock by tagging pre-Christmas promos and applying a cool-down factor. Tell us one product that shocks you every season; we’ll suggest a lightweight adjustment.