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Case studies
Maersk has signed up for a trial with Dexory and now has autonomous robots operating in warehouse facilities in Kettering and Tamworth, UK.
Dexory introduced autonomous robots to scan the entire warehouse, building a digital twin for real-time data analysis and insight into the storage of goods, enabling DENSO to monitor and fix inaccuracies and secure thorough control over stock.
ID Logistics, a leading global provider of logistics services, partnered with Dexory to deploy the ASTRID (Autonomous Stock-Taking Robots for Inventory and Data) program across its global sites with DexoryView. This strategic collaboration aimed to revolutionise inventory management by leveraging advanced robotics to enhance warehouse accuracy and operational efficiency.
Unipart and Dexory partner to boost efficiency and accuracy across warehouse operations
Andrei Danescu, CEO and Co-founder of Dexory, joined John Koetsier from the TechFirst podcast for an insightful discussion on the future of AI and robotics in logistics.
Over the last few years, rapid development in robotics technology has led to a robot revolution in the logistics industry. Today’s machines are more intuitive, complex and autonomous than ever, helping warehouses increase productivity by approximately 25% to 70%.
Our latest feature, block stack, is designed to transform how you manage your block stack inventory and cycle counting, ensuring that your operations run smoothly and effectively.
Our safety and compliance features are designed to address these challenges head-on, providing an advanced, integrated approach to maintaining the highest standards of safety while optimising operational efficiency.
One of the standout features that truly sets DexoryView apart is our Trend Analytics—a game-changer in real-time visibility and AI-powered actionable insights.
In warehouse logistics, the pick face is one of the most labour-intensive and complicated parts of the supply chain. These areas demand high levels of precision, organisation, and optimisation for an efficient picking process, in an attempt to to slash retrieval times and streamline order fulfilment.
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