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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. 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.
Vente-unique.com’s transition to DexoryView highlights a broader truth in modern logistics: automation alone is not enough - what matters is intelligent, real-time data and the ability to act on it.
Ziegler’s adoption of DexoryView marks a pivotal step in its digital transformation journey. By tackling recurring issues in real time and improving stock accuracy through automation and AI, Ziegler has unlocked new levels of efficiency, reliability, and customer satisfaction.
As a fulfillment and inventory management partner to fast-growing omni-channel brands, DCL Logistics faced increasing pressure to maintain impeccable accuracy and efficiency across its operations, and turned to Dexory for the solution.
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.
I started in 2021 when we were a team of under 15 people. At the time the company was still named BotsAndUs and we had a cool robot, “Mim”, deployed at a single retail place in Germany.
Introducing a first of its kind, AI-powered logistics engine to help warehouses maximize operational efficiency, optimize inventory management, and enhance the overall warehouse agility and responsiveness.
Dexory’s technology is now in use at one of DB Schenker’s significant sites in Utah. This follows Dexory’s strategic expansion announcement into the North American market in early February.
A.P. Moller - Maersk stands as a global leader, yet faced significant challenges during their UK expansions. These challenges included managing multiple warehouse management systems (WMS) and addressing daily operational issues like stock discrepancies and a lack of visibility.
Traditional manual methods are not only time-consuming but also prone to errors, leading to misplaced goods and unnecessary expenditure.
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