Why Warehouse AI Fails Without Accurate Physical Data

In this episode of Logistics Business Conversations, host Peter MacLeod speaks with Oana Jinga, Chief Commercial and Product Officer at Dexory, about why the future of warehouse AI starts with something much more fundamental: accurate, trustworthy physical data.

As artificial intelligence becomes increasingly embedded in logistics and warehousing, Oana explains why poor inventory and operational data can undermine even the most sophisticated AI systems. They explore the growing role of Physical AI, how real-time warehouse data can improve decision-making, and why inventory accuracy is the foundation for greater productivity, customer service and profitability.

The conversation also looks at how warehouses could become increasingly autonomous, whether AI can ever replicate the knowledge and intuition of experienced warehouse managers, and why businesses should focus on the operational problem they need to solve before investing in new technology.

Topics include warehouse AI, Physical AI, inventory accuracy, warehouse automation, robotics, WMS data, real-time warehouse visibility, intralogistics, supply chain technology, inventory management, warehouse efficiency, AI-powered decision-making and the future of warehousing.

🎧 Listen now to discover why better AI may ultimately depend on better knowledge of what is really happening on the warehouse floor.

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