Forecasting Processes from the Ground Up

Moving to reduce inventory while maintaining customer service levels, agribusiness Syngenta needed accurate demand forecasts. But first the company had to put a forecasting process in place.


Looking down the road, Herrin says that the company is exploring using the new process and Galt's Collaborator solution to support the entire S&OP process as a sort of executive information system, to give the participants in the S&OP meeting all the data they need when they need it. In addition, Syngenta is looking at implementing Galt's ForecastX SDK solution for statistical forecasting to provide baseline performance metrics. Explains Herrin: "Once we have a baseline, we can use that to drive assumption management."

Elsewhere, Syngenta is looking to use Collaborator to drive distribution and logistics planning. And finally, the company is looking at the possibility of extending the collaboration aspects of the new forecasting process out to both its customers and its suppliers. "I want to eventually take the Collaborator to our customers and say, 'Give us a forecast,'" Herrin says. "And also to share the variability with our vendors. I want to say, 'Look, here's our variability around the market, what can you do to help us?'"

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