Predictive analytics for demand forecasting: A deep learning-based decision support system
作者：
Highlights：
• A forecasting system for short, medium and long term demand forecasting.
• Investigated relationships between various input factors and sales.
• Proposes a deep learning and random forest based ensemble method.
• Proposed model works well on temporal and regression data simultaneously.
• Proposed model also updates demand plans with real-time information.
摘要
•A forecasting system for short, medium and long term demand forecasting.•Investigated relationships between various input factors and sales.•Proposes a deep learning and random forest based ensemble method.•Proposed model works well on temporal and regression data simultaneously.•Proposed model also updates demand plans with real-time information.
论文关键词：Demand forecasting,Predictive analytics,Deep learning,Optimization,Demand sensing,Retail
论文评审过程：Received 19 September 2021, Revised 26 September 2022, Accepted 26 September 2022, Available online 3 October 2022, Version of Record 17 October 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.109956
