This document discusses two major areas of focus: demand forecasting and fast-moving consumer goods (FMCG). It notes that demand forecasting involves estimating consumer purchases, while FMCG are packaged consumable goods like toiletries and packaged food that people buy regularly. Accurate demand forecasting at the stock keeping unit (SKU) level is important for efficient operations and good customer service. The document then outlines forecasting techniques and errors, as well as the need to model adjustments to software-generated forecasts. It proposes developing a demand forecasting model for non-homogenous products and a comprehensive FMCG forecasting framework using Bayesian approaches to obtain flexible, robust and optimal estimates and forecasts.