Impact of Information Sharing and Forecast Combination on Fast-Moving-Consumer-Goods Demand Forecast Accuracy

Impact of Information Sharing and Forecast Combination on Fast-Moving-Consumer-Goods Demand Forecast Accuracy

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This article empirically demonstrates the kenya tree coral for sale impacts of truthfully sharing forecast information and using forecast combinations in a fast-moving-consumer-goods (FMCG) supply chain.Although it is known a priori that sharing information improves the overall efficiency of a supply chain, information such as pricing or promotional strategy is often kept proprietary for competitive reasons.In this regard, it is herein shown that simply sharing the retail-level forecasts—this does not reveal remtavares.com the exact business strategy, due to the effect of omni-channel sales—yields nearly all the benefits of sharing all pertinent information that influences FMCG demand.

In addition, various forecast combination methods are used to further stabilize the forecasts, in situations where multiple forecasting models are used during operation.In other words, it is shown that combining forecasts is less risky than “betting” on any component model.