A recent ORTEC survey of over 2,500 logistics, retail, manufacturing and transportation professionals highlights persistent inefficiencies in supply chain distribution.
The findings reveal that 25% of companies cite poor load optimization as a key driver of rising delivery costs, while 40% report that outbound trucks leave with less than 90% capacity utilization, according to a March 11 ORTEC release. These inefficiencies result in higher operational expenses, increased fuel consumption and increased environmental impact.
Respondents identified outdated load planning software, order processing delays and lack of real-time warehouse visibility as the primary obstacles, according to the release. Additionally, 22% reported that inefficient loading directly affects last-mile delivery commitments.
Despite these issues, only 25% of companies have successfully implemented AI-powered load planning tools, according to the survey. ORTEC’s findings suggest that businesses have a significant opportunity to improve efficiency by integrating automation and AI-driven analytics into their logistics operations.
ORTEC provides AI-driven solutions to help businesses optimize capacity, reduce costs, and improve supply chain performance.
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