Expert thought leadership, data driven insights

A new generation of robotics, powered by artificial intelligence (AI) and autonomous mobile robots (AMRs),are changing the way warehouses work. These technologies don’t just make existing processes more efficient; they transform how decisions are made and executed. The result is a smarter, safer, and more scalable warehouse environment.

Dexory today announced that, through its strategic partnership with Raymond Storage Concepts, it has deployed its robotics and data intelligence technology at an ODW Logistics distribution center in Columbus, OH. This implementation underscores ODW Logistics’ commitment to advancing automation in their facilities and driving innovation in inventory management.

In a world where next-day delivery has become the norm, warehouses are under more pressure than ever. E-commerce growth, labour shortages, and rising customer expectations have created a perfect storm. Social media conversations now openly highlight delivery performance. As a result, maintaining accuracy and speed is essential to protecting customer trust.

There is no question that the logistics landscape is transforming dramatically, and to survive, warehouses must respond with new strategies, technology and thinking.

This is why companies such as Dexory are fuelling the transition from conventional, ‘blind’ warehousing to automated, self-learning, ‘adaptive’ warehouses.

The emergence of Agentic AI has the potential to reshape almost every industry as we know it. But for warehousing it is the catalyst needed to transform intelligent warehouses (that use AI automation based on human defined rules) to adaptive warehouses (where agents autonomously learn, optimise and act without human intervention).

AI has infiltrated many areas of our lives and work, constantly evolving and taking over more and more otherwise tedious, time-consuming tasks. AI and machine learning have become increasingly accessible, supporting small tasks like writing an email as well as more business-critical ones like optimising operations and cutting costs.