• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
3PL Live

3PL Live

Keep it moving

  • Podcast Episodes
  • Connect with Us
Home / Episode

Machine Learning in Freight with David Cornwell

12/15/2020 | by 3PL Systems

In this episode of 3PL Live YouTube channel, we speak with David Cornwell Director of Business Development at Hubtran. We learn how Hubtran is able to use Machine Learning and Optical Character recognition to process payables in seconds versus minutes 4xing the number of invoices a rep can process.

Hubtran does the heavy lifting for you by automatically splitting the invoice and using Optical Character Recognition (OCR) to find the matching invoice on the email to the load in your TMS.

Currently, Hubtran integrates with 3PL Systems, McLeod, and MercuryGate among others.

If you would like to demo Hubtran reach out to David at dcornwell@hubtran.com.

Tagged With: 3pl live, 3pl systems, api, automation, David Cornwell, edi, freight, hubtran, jeremy thone, logistics, supply chain

About 3PL Live

3PL Live is a media company that produces content about people that work in the freight industry.  We make podcasts and videos around founding stories and useful tech that can help grow your brokerage.

Latest 3PL Live Episodes

  • Exploring Media’s Role in Supply Chain with Nathan Chaney
  • From Software Concept to Reality with Dawn Salvucci-Favier
  • The Strongest Man in Freight: Three Pillars of a Successful Brokerage
  • Crafting a New Identity with Trey Griggs
  • Driving Forward with Nate Johnson

Sign up for updates from 3PL Live

Like what you hear? Sign up to be notified about new episodes.

Resources

  • Brokerware TMS
  • 3PL Support

3PL Live

  • Podcast Episodes
  • Connect with Us

Recent Episodes

  • Exploring Media’s Role in Supply Chain with Nathan Chaney
  • From Software Concept to Reality with Dawn Salvucci-Favier
  • The Strongest Man in Freight: Three Pillars of a Successful Brokerage

Copyright © 2025 3PL Systems, Inc. v1 Log in