A data-driven framework to new product demand prediction: Integrating product differentiation and transfer learning approach

作者：

Highlights：

• An integrated data-driven demand prediction model is proposed.

• The model contributes to improving early stage demand prediction for new products.

• A case study on real data is provided to show the applicability of the model.

• Evaluation against traditional EWMA method.

摘要

•An integrated data-driven demand prediction model is proposed.•The model contributes to improving early stage demand prediction for new products.•A case study on real data is provided to show the applicability of the model.•Evaluation against traditional EWMA method.

论文关键词：Demand prediction,Demand-differentiation index,Life-cycle demand,New product development,Product differentiation,Transfer learning

论文评审过程：Received 22 January 2018, Revised 6 April 2018, Accepted 25 April 2018, Available online 1 May 2018, Version of Record 26 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.032