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Drivers in Retail Forecasts using BPC Embedded and PAL


The problem that I am facing at a large supermarket relates to configuring the algorithms for forecasting in BPC Embedded via Forecast planning function. We have extracted the historical data and using time series, obtained quite a goodness of fit in the forecasts. The part that remains is to use the discount information available for the next 6 weeks as a driver to further fine tune the time series forecast. Now it sounds straightforward and logical, but so far I cant seem to be configure Forecast planning function to accept these future driver values. This is a sticking point for the users because they really want to be able to change their discounts and measure how the forecast is changing in response.

Similar forecasting can be done in SAP Predictive Analytics using Predictable fields during algo configuration. How can we achieve the same results using BPC Embedded / Integrated Planning via planning functions, that can call PAL if needed?




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