The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 16, 2021

Filed:

Mar. 14, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Pawan R. Chowdhary, San Jose, CA (US);

Markus R. Ettl, Ossining, NY (US);

Roger D. Lederman, Briarcliff Manor, NY (US);

Tim Nonner, Zurich, CH;

Ulrich B. Schimpel, Neuheim, CH;

Zhengliang Xue, Yorktown Heights, NY (US);

Hongxia Yang, Anaheim, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/08 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/08 (2013.01); G06Q 30/02 (2013.01);
Abstract

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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