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Fallstudien

Dexorys automatisierter Lösung für Erkenntnisse in Echtzeit transformiert die Logistik bei Maersk

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.

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Dexorys automatisierter Lösung für Erkenntnisse in Echtzeit transformiert die Logistik bei Maersk

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From pen and paper to 12 hours saved a week: How EMG Maersk transformed their stock integrity process

There's a version of this story that a lot of warehouse managers will recognise. You've got a stock discrepancy. Someone writes it down. That note gets passed to an admin. The admin logs it on a desktop system. A driver gets asked to go back and physically re-check the location. By the time anything gets resolved, you've burned through time, manpower, and patience, and the issue that could've been fixed in minutes has turned into a half-day job.

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How DexoryView is transforming inventory integrity and site operations for a leading beverage logistics provider, Linfox (BevChain)

With a strong continuous improvement culture, Linfox sought innovative solutions to work smarter, enhance safety, and eliminate repetitive manual tasks. They became the first in Australia to deploy Dexory's autonomous robotics solution, transforming their approach to inventory management and warehouse operations.

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How Pick count helped Maersk and iB Cargo improve pick accuracy and dramatically reduce manual counting effort

Using Dexory’s autonomous robots, the entire pick face area is scanned weekly. The resulting data is analysed to clearly separate locations with no discrepancy, minor discrepancies, and significant discrepancies that require physical verification.

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Latest insights

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Unravelling robotics and automation: Their role in optimising warehouse operations
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Unravelling robotics and automation: Their role in optimising warehouse operations

Research by Forrester has found that automation – including robotics, artificial intelligence (AI) and Machine learning (ML) – is already a defining industry trend that will continue to expand in the next two decades. It is also one of the most popular choices for improving operational efficiency with tactical automation.

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How the digitalisation of warehouses can enhance retailing and eCommerce dynamics
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How the digitalisation of warehouses can enhance retailing and eCommerce dynamics

The eCommerce growth has shone the spotlight firmly on two fundamental requisites: speed and accessibility to a broad and wide range of products. eCommerce also creates spikes in systems, reaching crescendo levels at peak seasonal dates for retail that include Black Friday, Valentines, Easter and Christmas periods, etc.

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Robotics and automation – A revolution in logistics and warehouse management

The logistics, warehouse and eCommerce markets have experienced unprecedented growth over the last few years.

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BotsAndUs secures $13M in Seed financing led by Lakestar for its warehouse data intelligence platform with autonomous robots
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BotsAndUs secures $13M in Seed financing led by Lakestar for its warehouse data intelligence platform with autonomous robots

BotsAndUs, a cutting-edge intelligence and robotics company has secured $13m in seed funding to expand its logistics-disrupting solution globally. Lakestar leads the round, with participation from Maersk Growth, Kindred Capital, and Capnamic.

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Why regular stock taking is necessary
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Why regular stock taking is necessary

Stock-taking or inventory checking is a common part of the warehousing process that consists of verifying the quantity and the conditions of goods. It is a process that is traditionally done manually and is not done frequently enough.

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What is real-time data?
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What is real-time data?

Real-time data corresponds to data that is available as soon as it has been generated. The data is actionable immediately by the end users, allowing real-time visibility on the data of interest. Real-time data is most often gathered from sensors, or applications.

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