Chris Caplice and David Correll discuss the innovations and precautions associated with AI in the freight industry in this Transport Topics article.
"David Correll, co-director of MIT FreightLab, agreed there are dangers associated with offering inexperienced workers direct access to data and analysis."
“The quick and beautiful answers that computers provide can be deceiving,” Correll said. “Even the most sophisticated algorithm still suffers from the ‘garbage-in, garbage-out’ problem.”
"You need to ensure, for example, that the AI system you’re considering offers you true access to actual analysis of the data in your system — and not simply easy answers to easy questions."
“If it is limited to only responding to simple requests like, ‘What are the dock hours for the ABC facility?’ or ‘What is the billing address for customer XYZ?’ it is not a big game changer,” said Chris Caplice, executive director at the MIT Center for Transportation & Logistics. “However, if it can respond to something like, ‘Tell me the customers who are more than 30 days late in paying and have a history of not paying for accessorials’ or ‘Which loads are at risk of being more than one day late?’ it can really improve operations.”