Machine learning algorithms utilization for business process optimization and enhanced predictive symbiotic matching within the logistics transportation management ecosystem

In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally attempt to improve shipper and carrier relationships via improved transparency, dispute resolution and better methods for matching based on a trusted statistically validated ratings engine.

Faculty Supervisor:

Jiannan Wang

Student:

Partner:

LiteLink Labs Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

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