Product Substitution
Factor in the sales history of discontinued items to improve demand forecasts for the products that replace or cannibalize them.
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This feature links and aligns historical data from discontinued products with the data of newly launched items, ensuring consistent and complete time series.
You can also define substitution rules across any active dimension — such as customer, country or channel — so you can apply substitutions with greater accuracy and keep forecasts consistent across all segments.
Technical sheet
| Version: | 1.0 |
|---|---|
| Last update: | - |
Integrate the plugin and go one step further in optimising your tool.
Improved forecast accuracy
Combining historical data with new product data leads to more reliable and precise demand forecasts.
End-to-end product visibility
Get a full view of product behavior, regardless of code changes or commercial transitions.
Dimension-based substitution
Set substitution rules by customer, country or channel to maintain forecast alignment at every level.
Product Substitution
Factor in the sales history of discontinued items to improve demand forecasts for the products that replace or cannibalize them.