By David Olagunju
An expert in Supply Chain Operations, Pneumatics, Robotics, Mechatronic Systems, and Pack Automation Solution, Oluwatumininu Ajayi, has shared insights on how the practical application of Artificial Intelligence can be beneficial Intelligence to supply chain, logistics, and infrastructure systems.
Ajayi, who is known for her strategic approach to New Products Introduction (NPI) for globally consistent processes, drew from her extensive work experience at the intersection of Robotic Supply Chain, Smart Manufacturing and Fulfillment Technologies, particularly during her tenure at Amazon Robotics and Amazon Web Services (AWS), stating that her recent focus is how AI can be leveraged to anticipate and prevent system failures before they occur — a concept known as Predictive Maintenance.
“Traditional maintenance strategies react to failures — AI allows us to predict and prevent them,” Ajayi said. “In logistics infrastructure, downtime is costly. But with AI, we can optimize operations, reduce unexpected breakdowns, and improve service delivery.”
Her work emphasized machine learning algorithms that analyze equipment performance data to forecast wear-and-tear patterns. According to her, these insights help logistics firms preempt equipment malfunctions, reduce operational delays, and allocate resources more efficiently.
Continuing, she noted that predictive maintenance is not just about fixing problems before they occur, but about evolving into smarter, leaner systems that continuously learn and improve.
“AI gives us the ability to transform reactive operations into proactive ecosystems,” she explained. “We’re moving toward logistics networks that think, adapt, and respond in real-time.”
Ajayi is also an advocate for sustainable innovation, noting that predictive systems can help reduce waste, conserve energy, and extend the lifespan of critical infrastructure.
“By reducing redundant maintenance and improving energy use, AI contributes to sustainability as much as it does efficiency,” the expert said.
In an era where logistics form the backbone of global trade and e-commerce, Ajayi expressed her belief that the industry is ripe for disruption, and AI is at the helm of that transformation.
She further stated that her ongoing initiatives aim to integrate AI not just as a tool for maintenance, but as a core driver of innovation across the entire logistics value chain.
“From warehouse automation to last-mile delivery, AI is the key to unlocking smarter, more agile supply networks,” Ajayi added.