An approach for sales forecasting

作者：

Highlights：

• A new sales forecasting model that integrates Best-Worst and k-Means methods.

• Best-Worst Method is utilized to extract significant forecasting criteria.

• K-means method is applied to improve the quality of product clustering results.

• The RFM model is used to assess the product.

摘要

•A new sales forecasting model that integrates Best-Worst and k-Means methods.•Best-Worst Method is utilized to extract significant forecasting criteria.•K-means method is applied to improve the quality of product clustering results.•The RFM model is used to assess the product.

论文关键词：Data mining,Decision-making method,k-Means,RFM,Sales forecasting method

论文评审过程：Received 9 December 2021, Revised 14 June 2022, Accepted 30 June 2022, Available online 8 July 2022, Version of Record 11 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118043