Nestlé uses analytics to improve demand planning
Food giant Nestlé is using analytics to improve the accuracy of demand planning and avoid excessive stock holding.
It has embedded SAS Analytics into key business processes that will help it sense demand for its consumer goods more accurately and reliably on a global basis.
“SAS is widely used for predictive analytics at Nestlé. We have trained 450 users at Nestlé worldwide to help make better demand-planning decisions. Our ability to implement SAS in various complex environments led us to expand our use of SAS beyond demand planning and supply chain and embrace the latest SAS technologies,” said Vineet Khanna, Senior Vice President of Corporate Supply Chain at Nestlé.
Nestlé is well known in the consumer packaged goods world for understanding local demand for its products, according to Annette Green, SAS Vice President of the DACH Region and Nestlé Executive Sponsor.
“It’s inspiring to implement SAS successfully at the scale Nestlé requires,” she said. “This is the foundation for Nestlé’s next step with artificial intelligence (AI), machine learning and other advanced analytics.”
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