What AI Forecasting Actually Does
AI inventory forecasting uses your past sales data to predict future demand. It's not magic — it's pattern recognition applied to your numbers.
A good forecasting model looks at:
- Historical sales per SKU per time period
- Day-of-week and seasonal effects
- Trends (growing vs declining items)
- External signals (if available)
Why Spreadsheets Fail at Forecasting
Spreadsheets require you to manually update formulas every month. They can't automatically detect that SKU-123 always spikes 3x during Diwali. They don't update in real time as sales come in.
What to Expect from Kubee AI Forecasting
Kubee's forecasting module analyzes your last 180 days of sales and generates a 30-day demand prediction per SKU. It automatically flags:
- Items where stock will run out in under 14 days
- Items that are overstocked (holding cost waste)
- New seasonal patterns detected in current data
Is It Accurate?
Accuracy depends on data quality. If your stock records and sales data are clean, Kubee's forecasts achieve 85–92% accuracy for established SKUs. For new items with less than 30 days of history, it falls back to category averages.