"Not everyone in the U.S. industry has the same level of automation, so we need to figure out a quality standard that serves the largest number of people at the lowest cost," Brindley explained.
While no formalized standard exists yet, he suggested that pallet producers may need to develop a framework for an "Automation - Ready" pallet—a concept that could eventually influence industry-wide best practices.
He also cautioned that quality expectations will continue to increase as robotics and AI-driven sorting systems become widespread. As automation grows, pallet manufacturers will need more precise quality control systems to meet tighter tolerances and specifications.
AI and Data: The Next Big Leap
AI is poised to play a much larger role in pallet inspection, warehouse operations, and supply chain forecasting.
"Too many people think AI is just for tweaking their website or using ChatGPT. But the real game-changer is how AI can enhance pallet design, predictive analytics, and operational efficiency," Brindley stressed.
He encouraged companies to hire or assign a dedicated AI lead to explore applications in production, inventory management, and customer interactions.
"If you don’t have someone in your company looking at AI, you need to go out and find that person fast," he urged.
AI-driven systems could also improve real-time tracking and reporting, providing valuable data on pallet performance, durability, and lifecycle management. Brindley suggested that data-driven decision-making will soon be a competitive advantage for pallet companies looking to optimize operations and reduce waste.
For those looking to stay ahead, Brindley recommended following industry updates and discussions on LinkedIn and reading the latest issue of Pallet Enterprise Magazine.
Are pallet plants entering the golden era of technology? Concluding speaker Chaille Brindley is a perrenial must-see presenter at the WPA Annual Meeting.
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