Cutting Forecast Error in Half for Campbell Soup "By accurately predicting demand, Terra’s solution helps stabilize our production schedules, reduce safety stock and improve service levels. One of our major objectives for 2004 is to decrease finished goods inventory while improving service levels and decreasing costs. Terra’s demand sensing capabilities will be a major enabler to help us achieve this objective." Michael J. Mastroianni, "The implementation of Terra’s Demand Sensing solution has been an unquestioned success within our company," stated Michael J. Mastroianni, Vice President of North American Planning and Operations Support for Campbell Soup Company. "Because of this implementation, Campbell has been able to dramatically improve our forecast accuracy. These efforts have resulted in improved customer service and stabilized production schedules." October 28, 2004 upon receiving Consumer Goods Technology magazine’s Supply Chain Performance Award for Campbell’s remarkable improvements in the area of demand planning "What these algorithms do is really focus in on the short term. They take the information that we have and work with it. Then, if we integrate it into our execution systems, we will have immediate visibility on the shop floor every day when we run our batch. So that is where we have applied it. That is the 50 percent improvement in forecast accuracy. And that 50 percent includes a lot of new product launches last year, so the tool has performed extremely well." Michael J. Mastroianni, |
