Using Artificial Decision Intelligence to Tackle Operational Trucking Challenges
As the 21st century progresses, the trucking industry is in need of innovative solutions. According to a recent study from Gartner, by 2026, 30% of enterprises are expected to have automated more than half of their network activities, an increase from less than 10% in mid-2023. The report emphasizes how automating decision-making is front and center for those in operations and infrastructure.
Following are four common legacy challenges, and the opportunities they present for automating the trucking industry.
Manual Processes
The challenge: These can add significantly to process inefficiency, including:
- Time. Tasks like data entry, route planning, scheduling, and document management done manually take longer.
- Human error. Manual entry and paperwork are prone incorrect information and missing data.
- Scalability and labor cost. As trucking companies grow, manual handling requires more staff and resources. Workers performing daily, repetitive manual activities often experience fatigue, develop biases, and make “good enough for now” decisions. This can result in errors that spread throughout the supply chain. In addition, the human mind can’t evaluate and balance multiple goals, make sequential decisions, and plan comprehensively for the future.
As trucking companies evaluate their workflows and resources, they can often quickly identify several tasks that can be automated, while reassigning human operators to areas where they can have the most significant impact — those that require creativity, strategy, and personal touch, such as customer and driver relationships.
The opportunity: Artificial decision intelligence shines in areas where human capabilities fall short, such as swiftly evaluating thousands of potential driver and load assignment choices. This technology achieves a level of optimization and efficiency that was once out of reach. By automating these processes, workers are freed from monotonous, repetitive duties. This redistribution of human effort enhances workforce value, focusing employee contributions on high-impact activities that directly support customer satisfaction and drive business growth.
Siloed Views
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