Nestlé, the world’s largest food manufacturer, 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. Improved demand accuracy is an important factor for producing the right products in the right quantities at the right time to avoid excessive stock holding.

“SAS is the engine for demand planning at Nestlé. 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.

Annette Green, SAS Vice President of the DACH Region and Nestlé Executive Sponsor, said Nestlé is a legend in the consumer packaged goods world for understanding local demand for each of its products. “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.”