From l-R - Johan Lindhal, Scania; Ulf Persson SEEBURGER; Stuart Clarke, Ford; Richard Logan, Automotive Logistics Leaders from Ford, Scania, Aston Martin and DP World at ALSC UK 2026 conference shared how extended reality, agentic AI and holistic supply chain thinking are driving real operational gains and why people and culture remain the defining constraints. The conversation around artificial intelligence in automotive logistics has shifted from whether to engage with it to how fast, how deep, and how do you take people with you in a span of one year. At the Automotive Logistics and Supply Chain UK conference in June 2026, during panel discussion with experts from Ford, Scania, SEEBURGER and Aston Martin, a unanimous argument emerged that technology is not the constraint, but data foundations, organisational culture and human capability are. Designing before building Stuart Clarke, manager, material flow and packaging engineering at Ford asked a question that the industry has struggled to answer: how do you make logistics legible to people who didn't design it? Ford's answer has been extended reality - XR technology that converts flat 2D plant layouts into fully immersive 3D environments, allowing engineers, operators and senior stakeholders to walk through a warehouse or production line before a single physical change is made. The gains are significant and Ford has estimated that it can take 10% out of base logistics costs at the concept stage alone, with further reductions in rework, travel and iteration costs as the system matures. "If your data integrity is wrong, it doesn't matter what you model or how you do it, your output is going to be wrong," Clarke said. Stuart Clarke, manager, material flow and packaging engineering at Ford A misdirected kit area, a mistake Clarke said has previously cost €20,000 to €30,000 ($22,731 to $32,731) to fix,
Data, culture and people: the real barriers to AI in <b>automotive</b> logistics
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