Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.
We seem to be in the height of webinar season, so please add one more to your calendar, brought to you by SAS, CT Global Solutions, and the International Institute of Forecasters: I'll be delivering a short introduction, covering the disappointing state of real life business forecasting in contrast to
On Friday Nov 27, 2:00pm GMT (9:00am EST in the US), Robert Fildes is presenting his latest research in the webinar "What do we need to know about Forecast Value Added?" This is part of the Lancaster University Centre for Marketing Analytics and Forecasting's "CMAF Friday Forecasting Talks." Here is
Here is the final installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed them, here are Part 1 and Part 2). HOW SAS MAKES IT HAPPEN There are two main steps for integrating open source forecasting models into SAS Visual Forecasting, each with increasing
Here is the second installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed it, here is Part 1.) THE VALUE SAS DELIVERS TO OPEN SOURCE First and foremost, SAS distributes the input data for forecasting. SAS knows how to split up data intelligently
Welcome to the first of a 3-part series by guest bloggers Jessica Curtis and Andrea Moore: FORECASTING IS UBIQUITOUS Forecasting is core to many different business decisions across virtually every industry. Whether you’re a retailer planning a compelling assortment of SKUs or improving labor planning for distribution centers and stores, or a consumer product goods