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Case Study: A global beverage giant registers significant volume gains across categories by leveraging AI/ML models for managing Price Elasticities
In this episode, we explore how a European multinational brewer, managing over 140 brands worldwide, partnered with Datamatics to enhance their pricing strategies using AI and machine learning. The company faced challenges with outdated price elasticity models that compromised demand optimization and profitability. Datamatics introduced an innovative approach by prioritizing recent data in time series analyses, ensuring more accurate and actionable insights. This led to the development of precise AI/ML models that calculated price elasticities across various products, channels, and regions. As a result, the brewer experienced a 15% increase in revenue and a 30% boost in profitability
To read the entire case study, visit us at https://www.datamatics.com/resources/case-studies/a-global-beverage-giant-registers-significant-volume-gains-across-categories-by-leveraging-ai/ml-models-for-managing-price-elasticities.
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By DatamaticsIn this episode, we explore how a European multinational brewer, managing over 140 brands worldwide, partnered with Datamatics to enhance their pricing strategies using AI and machine learning. The company faced challenges with outdated price elasticity models that compromised demand optimization and profitability. Datamatics introduced an innovative approach by prioritizing recent data in time series analyses, ensuring more accurate and actionable insights. This led to the development of precise AI/ML models that calculated price elasticities across various products, channels, and regions. As a result, the brewer experienced a 15% increase in revenue and a 30% boost in profitability
To read the entire case study, visit us at https://www.datamatics.com/resources/case-studies/a-global-beverage-giant-registers-significant-volume-gains-across-categories-by-leveraging-ai/ml-models-for-managing-price-elasticities.