Nissan's digital transformation: Connecting supply chain data to drive smarter logistics decisions
Tom Cook, senior manager of inbound logistics and packaging engineering at Nissan North America, explains how the carmaker is connecting supply chain data, deploying warehouse automation and exploring AI-driven decision-making to improve efficiency and reduce costs.
Nissan North America is moving into the next phase of its digital transformation, shifting its focus from collecting supply chain data to integrating systems, processes and people to support faster, more informed logistics decisions.
Speaking to Automotive Logistics on the Red Sofa at Automotive Logistics & Supply Chain Global in Detroit, Tom Cook, senior manager of inbound logistics and packaging engineering at Nissan North America, explained why the company has placed responsibility for its digital strategy directly within its supply chain organisation rather than relying solely on IT teams.
Cook discussed how improved visibility across suppliers, parts availability, shipping operations and inventory could help Nissan anticipate disruptions and reduce its reliance on costly premium freight. He also highlighted the company's use of warehouse drones to improve inventory accuracy, automated gate processes and transport management technology to maximise driver utilisation and enable rapid network redesign.
Looking ahead, Cook predicts that integrating supply chain systems with generative AI will transform logistics decision-making over the next five years, providing continuous updates, alerts and recommendations to help teams respond more quickly to changing conditions.
Watch the full Red Sofa interview to discover how Nissan is laying the foundations for a more connected, agile and intelligent automotive supply chain.
