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It’s no secret that with the implementation of Artificial Intelligence (AI) technologies, supply chains are becoming more efficient, resilient, and responsive. This transformation enables workers to shift their focus from repetitive and tedious tasks to more strategic and value-added activities.

As the majority of companies increase their investment in supply chain resilience, it’s vital to consider the impact of each dollar put to work. Visibility has a crucial role in enabling resilience. With only 6% of logistics companies claiming full visibility over their operations, the industry has significant scope for quick wins and strategic solutions to support better outcomes.

Robotics and automation warehouse initiatives offer a compelling solution to streamline operations, enhance productivity, and drive cost savings. However, we know that gaining approval for such initiatives requires a strategic approach and a clear understanding of the value proposition they present.

For many businesses, the key to maximising efficiency lies in automation. However, transitioning a brownfield warehouse, one that is already in operation, to an automated system can be a daunting task. With the right strategy and approach, it can be a seamless and rewarding process.

We’re in an industry where every minute counts and precision is key. This is why the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has emerged as a game-changer among logistics businesses.

Warehouses are no longer just places to store goods. They are dynamic hubs where efficiency and precision are crucial, and we can already see the increase in adoption of warehouse robotics and automation as 77% of organisations are serious about automated warehouse systems and mapping a plan to maximise data-driven performance.

The Dexory Autonomous Mobile Robot (AMR) scans up to 15,000 locations per hour, capturing over 36 TB of data as it autonomously navigates around a warehouse. This data is a mixture of high-resolution images and 3D point cloud information which is used to analyse the barcodes, size and shape of each pallet in a warehouse.

Traditional manual methods are not only time-consuming but also prone to errors, leading to misplaced goods and unnecessary expenditure.

Though technological changes have happened, the reality is that many warehouses still rely heavily on manual labour, and the level of automation varies widely across different industries and regions of the world.