A Cloud-Based Data Gathering and Processing System for Intelligent Demand Forecasting
Colin K. L. Tay, Kyong Jin Shim · 2018
Demand forecasting has been a challenging problem especially for products with short life cycles such as electronic goods and fashion items. Additionally, in the presence of limited past or historical data as well as the need for fast turnaround for forecast, producing timely and accurate demand forecast can be extremely challenging. In this study, we describe a cloud-based data gathering and processing system for intelligent demand forecasting.