DexoryView

Dexory is a robotics and data intelligence technology company that provides the logistics industry with real-time warehouse insights, changing the way warehouses are managed.

Dexory’s solution answers an existing, yet weakly explored problem: the lack of visibility of goods’ journey across the receiving, putaway, storage and stock checking steps of the warehouse processes. This issue affects every step in the supply chain and every stakeholder in the warehousing business, causing warehouse management to be time and money inefficient.

The company’s latest solution, DexoryView, offers a real-time representation of the state of warehouses via an intuitive, easy-to-access digital platform fed with real-time information captured through autonomous robots. The insights enable quick responses to operational challenges across all levels of warehouse operations daily.

Combining proprietary hardware and software to finally provide warehouse operators with accurate, real-time visibility on inventory and operations inside the warehouse, at the click of a button. There are two key parts to the Dexory proposition - the data capturing the relevant information, using autonomous robots and, the most important and impactful part: the DexoryView digital twin platform providing the data insights and visualisation with analysis, comparison and . We are the only company in the world that brings the two together.

The DexoryView solution is a one-of-its-kind platform. It provides access to a real-time representation of the state of warehouses via an intuitive, easy-to-access digital format, which is fed with real-time information captured from warehouses, through the use of autonomous robots.

With multiple high quality cameras and sensors, Dexory’s autonomous robots navigate warehouses to capture high definition 3D scans of the space and fire millions of points per second. It also scans any labels and barcodes on pallets, parcels or products. These data points are fed straight into the platform to create accurate, real time digital models of the warehouse racks and the items on them. This is then used as a base to add all the data points to and generate insights into the journey of goods across the warehouse.

Maersk, an integrated container logistics and supply chain services company, faced challenges in optimising warehousing processes to meet the evolving needs of the industry. Seeking innovation and efficiency, Maersk collaborated with Dexory, integrating an AI platform and autonomous robots into its warehouse operations in Kettering and Tamworth, UK. The results were transformative:

• Reduced WMS errors by 4% in one week: Dexory's real-time insights and automated solutions immediately addressed and minimize errors in Maersk's warehouse management system, enhancing overall accuracy.
• Saved 2 hours per day on average: The implementation of Dexory's solution significantly accelerated the process of locating items, resulting in a daily time savings of 2 hours per day on average.
• Improved customer experience and reputation: By streamlining logistics operations and ensuring accuracy, Maersk experienced an enhancement in customer satisfaction and an improved industry reputation.
• 40+ hours per week saved by automating cycle counts: Dexory's automation capabilities led to substantial time savings, allowing Maersk's staff to focus on more strategic and critical tasks.
• Full inventory checks daily vs. once every 2 weeks: The solution transformed Maersk's approach to inventory management, enabling daily checks instead of the previous bi-weekly schedule.
• Minimised 8 hours per week spent looking for misplaced/missing goods: Dexory's real-time tracking and identification capabilities reduced the time spent searching for misplaced or missing goods, contributing to operational efficiency.

Read the full case study to learn more about how Dexory's real-time, automated insights solution transformed Maersk's logistics operations: https://www.dexory.com/insights/transforming-maersks-logistics-with-dexorys-real-time-automated-insights-solution

https://www.dexory.com/