This week an RFP landed in my mailbox, the likes of which I have seen countless times before. It was such a clear example of both the flaws in the typical RFP process and the flaws of the traditional statistical forecasting engines that I decided to...

Part 3 - read the first here - read the second here This third part in the series discusses the core concept of demand modeling: isolating signal from the noise in the data . It is often said that it is impossible to generate a perfect demand forecast,...

Part 2 - read the first here This part highlights the largest differences in approach between traditional statistical forecasting and demand modeling. These differences together are the key enablers that allow breaking through the glass ceiling of...

The origins of demand modeling can be traced back to the 1970's. At the time at MIT's Draper Labs in Cambridge Massachusetts research was being conducted into new techniques to improve forecast accuracy especially for slow-moving items. One of the key...