A cloud-based data gathering and processing system for intelligent demand forecasting

• Main Authors: TAY, Colin K. L., SHIM, Kyong Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Demand forecasting; web crawling; cloud-based data gathering; data engineering; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4338; https://ink.library.smu.edu.sg/context/sis_research/article/5341/viewcontent/Cloud_based_Data_gathering_Intelligent_BigData_2018_av.pdf
• Institution: Singapore Management University

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.