With this information, supervisors can coach their employees in a focused way, reducing potential and actual safety issues, Adams says. The solution may also identify safety issues that regularly occur on a certain shift. This could mean the supervisor would bene t from additional coaching. Implementing a solution like this can prompt privacy concerns. A company implementing it needs to let employees know it’s a tool to make it easier for them to remain on task, Adams says. Moreover, the OneTrack solution looks at behaviors and doesn’t capture biometrics or employ facial recognition, Stinson says. The company works with each state to ensure it complies with applicable privacy regulations. At CJ Logistics, the OneTrack solution has cut potential safety events by nearly three-quarters, while boosting units per hour by an average of 11%. It also cut product damage by 60%. CJ Logistics is currently working on a project to upload the CAD warehouse layout, which would tie in with the OneTrack camera data. This could aid in several ways, such as optimizing travel paths, reducing congestion areas, and improving zoning and slotting. DISA DOCUMENTS RESULTS DISA Global Solutions offers employee screening services, such as background screening, drug testing, and eet and driver compliance. The solutions are “highly document-intensive,” and DISA processes millions of forms and records annually, says Steven Spencer, senior vice president of strategy. DISA implemented an AI solution in 2024 to manage a growing volume of customer orders, while ensuring accuracy and ef ciency. Arti cial intelligence enables the company to scale faster without sacri cing quality. While paper-pushing has been the butt of many jokes, documents are critical for a range of experiences important to both individuals and businesses, such as homebuyers securing
How Has AI Helped in Your Supply Chain Operations?
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“ AI is integrated into our daily operations through our partnership with Happy Robot. This AI system streamlines our sales activities by vetting carriers, selling shipments to partner carriers, and negotiating optimal rates. Additionally, Happy Robot gathers lane history data to enhance our sourcing strategies, improving efficiency and decision- making across our network.
Co-innovating and implementing digital workers has helped Unilever teams in the United States make our supply chain management more efficient. Within weeks, we observed notable improvements to exception management and tracking quality. AI agents like those we’re using provide useful information and streamline processes for our teams by proactively identifying risks, coordinating with carriers, and taking immediate action. This allows our people to focus on strategic initiatives. SHWETHA BALAGALI Senior Manager Logistics NA – Capabilities & Excellence, Unilever Automated inspection technology at our pallet depots uses a system of electronic ‘eyes’ as pallets move across a conveyor, and an AI-driven deep neural network meticulously and instantly scans pallets for the smallest defects, including cracks or holes; damage or misalignment to pallet components; contamination; and other issues that human eyes might miss. Not only is it more accurate, but the system handles on average more than four times as many pallets as are possible by human workers. “
JEFF GOINS Director of Carrier Sales, Circle Logistics
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By integrating an LLM-powered chatbot directly into our driver application, we’ve significantly increased call center deflection. The chatbot utilizes an agentic workflow, enabling it to resolve a wide range of issues—from simple FAQs to complex scenarios requiring API calls. Importantly, if an escalation to a live agent becomes necessary, the AI proactively identifies a preliminary root cause to assist with routing and provides a concise summary, streamlining the entire support interaction.
JONATHAN PARKS Senior VP of Supply Chain, iGPS Logistics
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JAMES DELMERICO CTO, Roadie
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Our AI check-in system, which we introduced at our Laredo, TX, facility in January 2024, is a prime example of streamlining operations and enhancing speed. When a truck arrives on site, the AI system automates the process of recording trailer numbers and matching appointments. As a result, wait times are down nearly 30%, and we’ve seen improved accuracy in the input data. It’s had a positive impact on driver experience, as well as overall
One of the most valuable ways where we have seen the ROI is with document processing. AI is very good at extracting information and classification of documents. This use case can be applied to many parts of the supply chain and can significantly
reduce manual processes providing business value.
facility efficiency. JARED WEISFELD Chief Strategy Officer, RXO
WALTER “MITCH” MITCHELL CEO, Tai Software
60 Inbound Logistics • April 2025
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