WEDNESDAY 4 OCTOBER 2017
Machine Learning In The Digital Supply Chain Isn’t New
Forbes, Steve Banker
For machine learning to work well, it needs to be a big data application. In this case in addition to doing forecasting based on historical sales, consumer goods companies leverage other data sets such as their retail customer’s point of sale, recent shipments of products from their warehouses to their stores, the retailer’s orders, syndicated data, and store inventory. Many of these data sets are accessed daily, or even several times a day, so the dynamic nature of demand is captured to a much higher degree than traditional forecasting techniques.