A recent survey by ORTEC found that inefficient load optimization continues to challenge supply chain distribution, with 25% of companies citing poor load planning as a key factor driving up delivery costs. The survey also revealed that 40% of outbound trucks operate below 90% capacity, leading to increased expenses and inefficiencies.

The study, which surveyed more than 2,500 professionals in logistics, retail, manufacturing, and transportation, highlighted common barriers to improving truck utilization. Respondents pointed to outdated load planning software, order processing delays, and a lack of real-time warehouse visibility as major obstacles.

Nearly 30% of companies reported that more than a quarter of their outbound trucks leave underfilled, contributing to higher fuel consumption, increased costs, and environmental impact. Additionally, 22% said inefficient truck loading affects their ability to meet last-mile delivery commitments.

Despite these challenges, AI-powered solutions remain underutilized. While 25% of organizations have adopted AI-driven load planning, many still rely on manual processes or outdated systems, the report found.

“Our survey results confirm what we’ve seen across the industry—many companies are leaving money on the table due to inefficient load optimization,” Mat Witte, CEO of ORTEC Americas, said. “By utilizing AI-driven planning solutions, businesses can ensure better truck utilization, reduce empty miles, and improve delivery accuracy, ultimately leading to cost savings and greater operational efficiency.”

As logistics firms face rising fuel costs and growing sustainability demands, the adoption of advanced load planning technologies presents an opportunity to enhance efficiency and reduce operational expenses.