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Fallstudien
Maersk hatte mit Dexory einen Versuchsbetrieb vereinbart und nun arbeiten autonome Roboter in ihren Lagern in Kettering und Tamworth, GB. Maersk, mit über 100.000 Mitarbeitern in 130 Ländern, ist weltweit führend in der Container-Logistik und arbeitet daran, die Lieferketten ihrer Kunden zu vernetzen und zu vereinfachen.
To support its ongoing efforts in continuous improvement, NFI partnered with Dexory to introduce a real-time, autonomous inventory management system. The goal: to enrich visibility, streamline processes, and empower teams with actionable data, without disruption.
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.
Since announcing its expansion to the North American market in February 2024. Its latest customer is Texas based JAMCO GROUP, marking the first deployment of the technology in the “Lone Star State”. JAMCO GROUP is using AI-powered robotics and digital twin technology to gain a deeper understanding into its operations across its distribution centers.
You’ve probably noticed how much easier it is to shop directly through social media these days. In the UK, shopping via social platforms like TikTok, Instagram, and Facebook Marketplace has exploded, surging by 32% since 2022.
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.
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.
Effective inventory management is crucial for a successful warehouse operation. Traditional methods, which often rely on manual tracking, can be time-consuming and error-prone, leading to inefficiencies and increased costs.
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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