Nestle Looks to Improve Demand Planning via SAS

Charlie Menchaca
Managing Editor
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Nestle 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 Nestle,” said Vineet Khanna, Nestle senior vice president of corporate supply chain. “SAS is widely used for predictive analytics at Nestle. We have trained 450 users at Nestle 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.”


Nestle is considered a legend in the CPG world for understanding local demand for each of its products, said Annette Green, SAS vice president of the DACH Region and Nestle executive sponsor.

“It’s inspiring to implement SAS successfully at the scale Nestle requires,” Green said. “This is the foundation for Nestle’s next step with artificial intelligence, machine learning and other advanced analytics.”

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