US soup maker Campbell is upgrading to the newest version of Terra Technology’s Demand Sensing platform, which provides an automated way for manufacturers to extract value from big data.
Using pattern recognition algorithms the platform helps companies predict future sales for every item in every location. The Campbell Soup Company upgrade promises to enhance its forecast accuracy to better meet the needs of retailers and consumers.
"Sensing product demand is particularly important in today’s increasingly complex marketplace,” said Patrick Folan, vice president of supply chain for Campbell Soup Company. “Following our recent implementation of SAP’s Advanced Planner and Optimiser (APO) tools for supply chain management, upgrading to Demand Sensing 5.0 was the next logical step."
Folan said: "Demand Sensing allows us to make supply decisions using forecasts reflecting current market realities rather than historical estimates. Better forecast accuracy will further our efforts to improve customer service, without the burden of carrying unnecessary inventory.”
Terra’s Demand Sensing is said to be currently used by manufacturers to plan and execute operations in more than 160 countries. Campbell was the first company to use Terra's platform in 2004.