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Case studies

Transforming Maersk’s logistics with Dexory’s real-time, automated insights solution

Maersk has signed up for a trial with Dexory and now has autonomous robots operating in warehouse facilities in Kettering and Tamworth UK. Maersk is a global leader in containerised logistics and is working to connect and simplify its customers’ supply chains, operating in 130 countries with over 100,000 people.

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Transforming global warehouses with ID Logistics’ ASTRID program

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Transforming global warehouses with ID Logistics’ ASTRID program

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.

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Unipart and Dexory partner to boost efficiency and accuracy across warehouse operations

In a multi-client site where stringent KPIs around stock accuracy, quality, cost, and delivery are paramount, innovation is key to operational excellence. By introducing DexoryView, the team has taken a significant leap in efficiency and customer satisfaction.

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Enhancing DB Schenker’s US logistics operations with robotics and AI technology

DB Schenker, a global leader in logistics and supply chain management, partnered with Dexory to introduce cutting-edge robotics and AI technology into the US market. This collaboration aimed to address the day-to-day challenges of real-time stock visibility and occupancy tracking while optimising resource utilisation across DB Schenker's operations.

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Latest insights

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Dexory's autonomous robot safely navigates DENSO's warehouse
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Dexory collaborates with DENSO Manufacturing UK, a global mobility supplier

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.

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Why logistics firms want flexible machine vision
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Why logistics firms want flexible machine vision

Revealing the potential of pairing mobile logistics robots with machine vision is UK company Dexory. The DexoryView data visualisation software platform receives a given warehouse’s data from autonomous robots, which collect images and point cloud information to create a ‘digital twin’ in real time.

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Insider spotlight event: Transforming the Norm
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Insider spotlight event: Transforming the Norm

A 30-minute conversation with expert women in tech, Michelle You, Oana Jinga and Shona Ghosh inspiring audiences to transform the industry and break the glass ceiling. Insights into current innovations in technology and how education can help achieve gender equality and the empowerment of all women and girls.

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Maersk Growth Podcast: Andrei Danescu on Digital Twin & Robotics
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Maersk Growth Podcast: Andrei Danescu on Digital Twin & Robotics

Dexory’s Co-founder and CEO, Andrei Danescu, recently kicked off a new podcast series with Jannik Pedersen, Head of Strategic Insights at Maersk Growth. In this engaging episode, the duo delved into some of the most transformative topics shaping the supply chain and technology industries.

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How data-led intelligence and digital twins are driving innovation in warehouses

Dexory recently released its guide to ‘digital twins’, exploring how data-led intelligence and digital twins drive warehouse innovation. We believe digital twins within warehousing and logistics will be vital.

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Introducing DexoryView: A new logistics solution powered by autonomous robots, digital twins and real-time data intelligence
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Introducing DexoryView: A new logistics solution powered by autonomous robots, digital twins and real-time data intelligence

Leading London-based robotics and data intelligence company Dexory today announced the launch of their new, enhanced solution DexoryView – a revolutionary new platform that will change the way that warehouses are managed.

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