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LEARNING


 data and ensure its quality, particularly for new products or emerging markets. But even           models may be limited. Before you start, dig deep for quick AI wins    workers.


    


    in practice. A small proof of concept not only tests readiness for AI but also builds  securing buy-in.





  


ML-based forecasting can reduce errors by up to 50%,


allowing manufacturers to anticipate demand with enough time to manufacture the right stock


one step ahead of customer demand. Amid demand uncertainties, using a machine learning   


Columbus www.columbusglobal.com


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EIGHT OPTIMISATION AREAS THAT CAN TRANSFORM YOUR SUPPLY CHAIN


EIGHT OPTIMISATION AREAS THAT CAN TRANSFORM YOUR SUPPLY CHAIN


W


arehousing is changing at unprecedented speed. Higher customer expectations, expanding SKU ranges, and


ongoing global supply chain pressures are   safety standards. Despite this, many facilities still struggle with lost inventory, wasted storage areas, and unreliable data. The debate is no longer whether automation delivers return on investment, it’s how quickly businesses can realise it. Optimisation is key. Inventory integrity is only the starting


point. Accurate, trustworthy inventory  and smarter use of labour and space. Once visibility and data accuracy are established, organisations can move beyond basic control and begin using AI-driven optimisation to unlock wider operational gains. Improving goods  storage capacity allow warehouses to meet


automationmagazine.co.uk


growing demand with speed and precision. 1. Inventory integrity Manual wall-to-wall counts are slow,


disruptive, and prone to error. Automated cycle counting reduces labour, improves accuracy, and can prevent costly compliance penalties. 2. Real-time visibility


Limited operational visibility leads to  data helps teams identify issues instantly rather than spending time investigating errors after they occur.


3. Block stack visibility Deep storage areas often create blind spots. Digitised monitoring removes the need for manual checks or equipment repositioning  4. Pick face optimisation


Smarter cycle counts focus attention where  keeping high-movement locations accurate and 


5. Storage utilisation AI-based consolidation planning groups


compatible items together, minimising wasted space and unnecessary travel while improving overall throughput.


 Correct slotting improves both safety and  ready and compliant with regulations.  Automation and robotics reduce picker delays,


improve replenishment accuracy, and increase order throughput without increasing headcount. 8. Weight restriction monitoring Overloaded racks pose serious risks. Automated monitoring provides real-time protection that static warehouse management rules cannot deliver. By addressing these areas, warehouses can


shift from reactive operations to proactive, data-  and long-term competitiveness. 


world results and insights from leading logistics operators like GXO, Maersk, and Iron Mountain.


Dexory www.dexory.com


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