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AI-driven warehouse analytics: Transforming inventory data into actionable insights
AI-driven warehouse analytics: Transforming inventory data into actionable insights
Companies such as Dexory are fuelling the transition from conventional, ‘blind’ warehousing to automated, self-learning, ‘adaptive’ warehouses
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here is no question that the logistics landscape is transforming dramatically, and to survive, warehouses must respond with new strategies, technology and thinking. So, what are the key drivers that will enable this transition from blind to adaptive warehousing? “You have to build trust in the data gathering process,” said Chris Coote, Director of Product at Dexory. “There are three dimensions to this; the accuracy of data, the timeliness of data and the completeness of data. These are the fundamental principles behind every development of our autonomous inventory scanning robots and how we can operate with 99.9% accuracy.” Once this real time data has been collected,
the focus for intelligent warehouses shifts to not only extracting reliable insights but turning these into useful actions. This requires developing intuitive, representative and validated AI models, which customers can trust. An example of just how valuable AI can be at extracting intelligent insights is Dexory’s colour to their own, requested DexoryView to identify and quantify the number of pallets of each colour. This allowed them to track the number of rented pallets and therefore the
charges they needed to pay their supplier. ‘The advantage we have is our robots are continuously scanning racks every day, collecting 36TB of warehouse data,’ explained Richard Williams, Senior Robotics Engineer at Dexory. “So, we can easily train and validate AI models. In fact, whilst developing this colour pallet capability, we also created algorithms that analysed damage on pallets, misalignment of stock and even individual items. We might not have a use case for these capabilities yet, but we are continuously pushing to extract the most warehouse management analytics from the data we capture.”
AI also has the power to reveal insights hidden within the data that humans may not even know were there. For example, the information collected by Dexory’s robots can be used as metadata to improve overall warehouse management such as sustainability.
Dexory
www.dexory.com
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