Calculate aggregate forecast
Calculate aggregate forecast
With this functionality you will leverage the aggregation of historical sales data to improve the forecast at more aggregated levels, benefiting from a broader data set.
By aggregating data at higher levels, random and seasonal variations are smoothed out, improving forecast accuracy by removing noise and highlighting underlying trends. Lower-level apportionments are made from historical weights detected on a month-by-month basis.
By aggregating data at higher levels, random and seasonal variations are smoothed out, improving forecast accuracy by removing noise and highlighting underlying trends. Lower-level apportionments are made from historical weights detected on a month-by-month basis.
Technical specifications
Version:
1.0Last update:
03/2024Tags:
Data aggregation
Combines individual sales of similar products within the same family to get an overview of demand.
Trend identification
Identifies general patterns and trends in product family demand, helping to predict future behavior.
Last level apportionment
Distributes by historical weights of demand at product level and sales dimension.Start with Imperia and go one step further in optimising your tool.
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Start optimising your processes with Imperia.Calculate aggregate forecast
Optimize forecasting at more aggregated levels by grouping sales historical data taking advantage of a larger dataset.
50€/month Calculate tool price
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