AI Assist
A demand-forecasting error is costly: either the warehouse is stuffed with dead stock, or a popular item runs out at the worst moment. AI analyzes more factors than a person and makes forecasts more accurate.
What AI takes into account
The model analyzes sales history, seasonality, promotions, customer behavior, and even external factors. It sees patterns that are hard to spot manually in spreadsheets.
What tasks it solves
- Planning purchasing and inventory;
- Forecasting sales by product and period;
- Early detection of demand dips and peaks.
Why it pays off
A more accurate forecast reduces money frozen in stock and losses from shortages. The business plans purchasing and budget more confidently.
A forecast isn’t magic — it’s statistics on your data. The better the data, the more accurate the result.
Where to start
A sales history over a few periods is enough. An AI analyst connects to your sources and builds the first forecasts on existing data, refining them over time.
