- 专利标题: TRAINING A MACHINE TO AUTOMATE SPOT PRICING OF LOGISTICS SERVICES IN A LARGE-SCALE NETWORK
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申请号: US16352958申请日: 2019-03-14
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公开(公告)号: US20190213500A1公开(公告)日: 2019-07-11
- 发明人: Pawan R. Chowdhary , Markus R. Ettl , Roger D. Lederman , Tim Nonner , Ulrich B. Schimpel , Zhengliang Xue , Hongxia Yang
- 申请人: International Business Machines Corporation
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06Q10/08 ; G06Q30/02
摘要:
A machine learning algorithm is trained to learn to cluster a plurality of original-destination routes in a network for transporting cargo into a plurality of clusters based on similarities of the original-destination routes, and to learn to cluster the plurality of clusters into a plurality of subgroups based on customer behavior. Influencing criteria associated with each of the subgroups may be determined and based on the influencing criteria, a price elasticity curve for each of the subgroups may be generated. Based on the price elasticity curve and current network traffic, cargo transportation price associated with each of the subgroups may be determined.
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