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Dockware’s AI-Powered Freight Dimensioning: A Game Changer for Logistics at Manifest 2025I-Powered Freight Dimensioning: A Game Changer for Logistics at Manifest 2025

At Manifest 2025, Racklify News caught up with Conor Godfrey, Chief Co-Founder of Dockware, to discuss how AI-powered freight dimensioning is transforming the logistics and 3PL industry. Traditional dimensioning methods rely on outdated manual measurements or bulky stationary systems, leading to errors, inefficiencies, and unexpected carrier fees. Dockware’s computer vision-based, real-time dimensioning solution eliminates these challenges, enabling faster, more accurate freight measurements without disrupting workflows.

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William
William Carlin

03 Mar 2025 12:34 AM

Dockware’s AI-Powered Freight Dimensioning: A Game Changer for Logistics at Manifest 2025I-Powered Freight Dimensioning: A Game Changer for Logistics at Manifest 2025
HotNotes
  • 🚛 AI-Powered Freight Dimensioning: Dockware’s computer vision technology eliminates manual errors and inefficiencies in freight measurement.
  • 📦 Mobile & Cloud-Based Solutions: Shippers can use Dockware’s iOS app to measure, record, and upload freight dimensions instantly.
  • 🔗 Revolutionizing LTL & 3PL Operations: Automating dimensioning reduces carrier chargebacks, improves load planning, and enhances contract negotiations.

  • Dockware’s AI-Powered Freight Dimensioning: A Game Changer for Logistics at Manifest 2025


    At Manifest 2025, one of the logistics industry’s most influential supply chain and technology events, Bill Carlin sat down with Conor Godfrey, Chief Co-Founder of Dockware, to discuss how AI-powered freight dimensioning is reshaping the industry. The conversation shed light on the persistent challenges in freight dimensioning and how Dockware's cutting-edge technology is offering a seamless solution for shippers and carriers alike.


    The Challenges of Freight Dimensioning


    Freight dimensioning plays a crucial role in LTL (Less-than-Truckload) shipping, impacting freight classification, rates, and carrier contracts. Traditionally, companies have relied on outdated methods such as manual measurements using tape measures or stationary dimensioning devices like CubiScan. These approaches often lead to inaccuracies, delays, and costly reclassification fees from carriers.


    As Godfrey pointed out, many shippers still guess or estimate freight dimensions, which results in unexpected carrier chargebacks, inefficient load planning, and difficulties in negotiating contracts. The need for a faster, more accurate, and automated dimensioning process has never been greater.


    Dockware’s AI-Powered “In-the-Wild” Dimensioning


    Dockware is revolutionizing freight dimensioning with its AI-powered, computer vision-based solution that eliminates the need for stationary dimensioners. Unlike traditional methods that require shipments to be brought to a fixed dimensioning area, Dockware’s system allows users to capture accurate freight dimensions in real-time, wherever they are.


    Some key features of Dockware’s technology include:


    Computer Vision for Automatic Dimensioning: AI-powered tools measure freight dimensions without requiring manual input.


    Mobile App for Shippers: Dockware’s iOS app allows shippers to quickly dimension palletized cargo and upload data directly into warehouse management systems (WMS).


    Seamless Carrier Integration: For LTL carriers, Dockware’s automated system ensures real-time dimensioning without disrupting existing workflows.


    Cloud-Based Data Management: Dimensioning data is uploaded instantly, reducing errors and improving visibility across the supply chain.


    A Step Toward Digital Freight Management


    During the interview, Godfrey emphasized that freight dimensioning is just the first step toward a fully digital freight ecosystem. Once shippers and carriers have access to accurate dimensioning data, they can layer additional logistics solutions, such as barcode scanning, load condition assessments, and AI-driven freight optimization.


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