Oracle Mix Open World Session

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Integrated Collaborative Forecasting for CPG Industry

Abstract

This session will explore how an integrated collaborative platform can be build using Value Chain Planning modules to enable usage of POS, Withdrawals, Shipments, Bookings and Trade promotions in building an integrated collaborative forecast using Demantra.

This session will also discuss:
1. S&OP solution options
2. Challenges faced during implementation
3. CPG Success Stories

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Integrated Causal Exponential Model (BWint)

Demantra has Integrated Causal Exponential Model (BWint) as one of the models available for analytical engine. This also is a regression model, known as Multiplicative regression - winter model. The model works only in DP mode. It runs multiplicative regression on Causal data (short CFs) and then smooths out the residual series exponentially like HOLT.

Data Type: Good fit for capturing Trends, Seasonality and Causality in demand data.

Example: Here is an example of where forecast is generated by Bwint model of Demantra. Look at how engine is able to capture seasonality and demand trend accurately, providing a good baseline forecast for planners to start with.