Solving Logistics with IoT Technology | Trinity Logistics' Russ Felker | Internet of Things Podcast

IoT For All Podcast · 16 Jan 2024 · 29m · Episode 327

AI in practice: one real use of AI described

What this episode covers

Russ Felker, CTO of Trinity Logistics, discusses how the 3PL uses technology to solve logistics challenges, specifically focusing on the shift from manual brokerage to data-driven operations. He details the implementation of machine learning models to provide instant freight rates and the critical importance of impact analysis when deploying AI to ensure human operators remain effective during exceptions. Felker emphasizes that technology should augment interpersonal relationships rather than replace them, citing the high rate of supply chain exceptions as a reason for maintaining human context.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Logistics & fulfilment

Trinity Logistics implemented machine learning models to predict freight rates, enabling them to provide instant pricing responses to customers for loads posted on loadboards or requested via their website.

“And so we took the approach of, hey, let's get in place, um, machine learning models. Let's get our data fit in. Let's get ancillary data fed in. Um, that's industry data so that even if they ask us about something that maybe we're not as familiar with. We still have a really good shot at being able to respond quickly and be that partner for our shippers in that.”

Speaker 2 · Hear it at 15:03

Mentioned

Companies
Trinity Logistics, Amazon, Over Freight, Convoy, Transport Topics, Food Logistics, Women in Trucking Association

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