From supply chain complexity to unpredictable commodity pricing and vacillating consumer sentiment, generating forecasts and plans in the consumer packaged goods (CPG) industry can be challenging. However, by combining global data, econometric modeling practices and powerful business tools, CPG leaders and decision makers can generate an unbiased baseline for demand forecasting, scenario planning and market analysis activities.
Join Nicole Anderson from RSM US LLP and Brandyn Campbell from Prevedere for a live webcast on minimizing forecast error by combining internal projections with unbiased, macroeconomic data. Planning and analytics teams in the CPG industry will learn:
- How machine learning, economic expertise and digital transformation best practices come together to support advanced predictive planning
- How Prevedere’s advanced predictive planning platform correlates internal, historical data to global, macroeconomic data and factors to identify leading indicators of a business’s or category’s performance
- How RSM created demand models with close to 95% accuracy for a major dairy CPG company
- How planning teams and analytics teams can leverage global data to capitalize on market opportunity and anticipate shifting headwinds and tail winds
