Reducing inventory by simplifying forecasting and using point of sale data

• Main Authors: Agarwal, Atul, Holt, Gregory Douglas Barton
• Other Authors: Lawrence Lapide.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2006
• Subjects: Engineering Systems Division.
• Online Access: http://hdl.handle.net/1721.1/33310

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005. === Includes bibliographical references (leaf 69). === This thesis assesses the value to vendors of using point of sale data to predict what retailers will order from them. In particular, we look at how The Gillette Company can use point of sale data generated by two of their customers, (Wal-Mart and Target), to predict the orders of all of Gillette's customers combined. The thesis also examines the impact on forecasts of shortening and simplifying the demand planning process. By improving the forecast of orders from their customers, vendors like Gillette can reduce safety stock inventory which is held as protection against unpredictable demand. === by Atul Agarwal [and] Gregory Douglas Barton Holt. === M.Eng.in Logistics