Expert thought leadership, data driven insights

In our latest white paper, we break down the real costs of operational blind spots at every stage of warehouse operations - from goods arrival and putaway to picking and outbound shipment.

Artificial intelligence has been a constant topic in logistics and supply chain conversations over the last few years. In our recent fireside chat with Oana Jinga and Divya Gautam, we took a step back and asked a simple question: what do logistics leaders actually want to know about AI right now?

With a strong continuous improvement culture, Linfox sought innovative solutions to work smarter, enhance safety, and eliminate repetitive manual tasks. They became the first in Australia to deploy Dexory's autonomous robotics solution, transforming their approach to inventory management and warehouse operations.

Using Dexory’s autonomous robots, the entire pick face area is scanned weekly. The resulting data is analysed to clearly separate locations with no discrepancy, minor discrepancies, and significant discrepancies that require physical verification.

The warehousing industry is evolving faster than ever. Rising customer expectations, growing SKU complexity, and global supply chain pressures demand faster fulfilment, better use of space, and uncompromising safety.

Yet for many warehouses, inefficiency persists - lost pallets, underused aisles, and inconsistent data updates. The question is no longer if automation drives ROI, but how fast you can capture it.

At Dexory, AI is the translator of physical reality into digital insights. While it opens up competitive ways to solve complex problems and unlock efficiency, we believe AI is never an end in itself. Adding ‘intelligence’ to products without a clear strategy creates confusion, not value.