DataDis has introduced an artificial intelligence-powered invoice processing module designed to automate how fleets handle supplier invoices within its MIR-RT fleet maintenance management platform.

The new AI Invoice Processing module — that automatically reads and processes PDF supplier invoices, eliminating the need for manual data — was unveiled at the Truckload Carriers Association annual convention in Orlando, Fla.

“What we’ve seen with a lot of our customers is that parts invoices aren’t too hard to deal with, but when you have those third-party events… that’s a very cumbersome process to bring that data in-house and to get good quality on it,” said Travis Coffman, executive vice president, U.S., at DataDis, while adressing media during the TCA conference.

Inputting detailed maintenance data from those invoices typically requires manual, line-by-line entry and staff with the technical knowledge to properly assign VMRS codes and job classifications. Because of such complexity, many fleets only enter the most basic information, Coffman said.

The new module, he claims, automatically reads emailed PDF invoices, extracts header and line-item information, and populates the MIR-RT platform with structured data. Invoices appear as pre-filled transactions with an AI confidence score, allowing users to quickly validate the information before finalizing it. Once approved, the system structures line items and links them to the appropriate external work order, helping ensure consistent reporting.

The module also includes colour-coded indicators to highlight items requiring attention and a toggle view that allows users to compare the AI-processed version with the original invoice for validation.

The company also plans to introduce AI-generated VMRS coding, allowing outside repair work to be categorized and reported in the same way as internal shop maintenance.

According to Coffman, the technology can reduce processing time for complex invoices from several minutes — or even 20 to 30 minutes in some cases — to just seconds.

He added, “We’re really excited to announce the first of what will be a series of AI releases for the company this year.”