account for the inherent uncertainty that exists throughout a carrier’s network, says Erica Frank, vice president of marketing with Optimal Dynamics. AI technology can determine the optimal loads based on multiple factors including service commitments, revenue and backhaul potential, among others. Once a load is accepted, the solution also helps Standard Logistics identify which driver to assign to which load, using information from the transportation management system to make this decision. This includes the drivers’ available hours of service, customer commitments that may impact prioritization, and load pro tability. The solution balances revenue potential with operational ef ciency. Standard Logistics sees a strong correlation between increases in revenue per driver as the company more consistently uses Optimal Dynamics’ AI solution to accept and dispatch loads, Bargenda says. CJ LOGISTICS ENHANCES EMPLOYEE SAFETY Employee safety is key at CJ Logistics America. The goal “is to make sure that all employees that come to work leave the same way,” says Laura Adams, senior vice president, continuous improvement,
technology, engineering, solutions and business process integration. That’s not always easy for warehouse workers. “Warehouses are massive buildings, with lots of square footage, lots of people, and lots of machinery crossing paths,” says Evan Stinson, director of marketing with OneTrack, which offers a warehouse operating system. Because of their size and complexity, it’s dif cult to continuously monitor every operation within a warehouse. Even security cameras can miss dead zones, or they might produce images that are too grainy to be useful. In 2018, CJ Logistics partnered with OneTrack to better understand the actions happening in its warehouses and work to prevent accidents and injuries. Cameras mounted on equipment within the warehouse capture employees’ actions. OneTrack’s AI solution can identify anomalous events, such as a task that takes longer than typical or a forklift that bumps into a rack of shelving. Obtaining this detail without AI would require people watching cameras all day long, Stinson says. Supervisors can receive shift summaries highlighting employees who could bene t from additional training, along with video context to help provide instruction.
7 Steps to Successful
AI Implementation These guidelines can help organizations lead AI implementations that achieve the benefits they’re looking for. 1 Identify the right problems. A good AI project is one that a person could solve if they had all the data and all the time in the world. “If a person could do it, an AI can probably figure it out,” says Keith Moore, CEO of AutoScheduler. Conversely, if the necessary data isn’t available, AI might not be the best solution. 2 Prioritize change management. Technology alone isn’t enough. Employees may resist AI if they fear job cuts. Successful AI implementations show how the solution presents an opportunity to redefine roles and elevate employees into more strategic positions. 3 Insist on transparency from the AI provider. The provider should go beyond buzzwords and dive into the core technology and show how it directly addresses the company’s challenge. 4 Push your vendors. If existing solutions don’t meet your needs, challenge vendors to adapt or enhance their offerings to align with your requirements. 5 Implement quickly. The sooner a solution is operational, the faster you can realize the benefits and refine the approach. 6 Keep an open mind. Artificial intelligence can drive value in areas you may not have initially anticipated, Mahon says. 7 Remain flexible. Because the AI landscape is evolving, it’s crucial to be willing to adapt. “Flexibility has allowed us to refine processes and adjust to new developments in AI technology,” says Spencer of DISA, adding that AI is not a one-time fix but a continuous improvement journey.
OneTrack's AI solution helps CJ Logistics manage employee safety.
April 2025 • Inbound Logistics 59
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