Synopsis
Best-in-class practices for achieving credible and sustainable forecasting performance in an e-commerce environment? Opportunities for making quantitatively-challenging processes more accessible and useful to supply chain practitioners. . For a general demand forecasting needs, it stresses adherence to a four-stage PEER process involving (1) ‘big data’ issues of data quality, outlier resistance, data exploration and predictive visualization, (2) predictive analytics suitable for automating useful forecast modeling solutions in a relational and databased Forecast Decision Support Platform (FDSP), (3) an objective approach to forecast profile accuracy measurement and (4) challenges in reconciling statistical models and forecasts to support a synchronized, Integrated Business Planning (IBP) process.
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