Faced with the challenge of high stock throughput and a vast storage area, Ziegler Group Corp. realized that it needed to improve the visibility and integrity of its warehouse data. The Brussels-based logistics provider has taken a step toward digitizing and streamlining its warehouse operations by adopting DexoryView.
Ziegler operates in any industry where even a minor scanning error can have a significant impact. The company wanted to reduce time spent on manual cycle counting, eliminate stock loss, and improve real-time visibility on the state of its key U.K. warehouse.
“We recognized that even a 1% miss-scan rate could create major issues, from stock rotation delays to customer service impacts,” said Ignas Saknaitis, divisional general manager for logistics at Ziegler. “Our big turning point came after a full stock take took four days and a full weekend of working, with stock anomalies requiring weeks of investigation. With DexoryView, we can now identify and resolve issues in real time before they escalate.”
After exploring options including automated shuttle racking and drone-based systems, Ziegler turned to Dexory’s product for its U.K. site, which includes a complex layout and more than 55,000 pallet locations.
DexoryView works with warehouse data, robots
DexoryView combines robotics, artificial intelligence, and digital twins to provide real-time intelligence about the health and integrity of the entire warehouse.
The system uses autonomous mobile robots (AMRs) to gather vast amounts of data from warehouses. The robots use advanced optical cameras and lidar sensors. Dexory said these sensors allow its robots to measure distances and map spaces, and they are capable of scanning up to 10,000 locations per hour.
The DexoryView platform analyzes and visualizes the data gathered by the robots. The company said they can provide useful and accurate information about inventory accuracy, as well as make suggestions for optimizing the warehouse space.
Dexory said that warehouses that deploy its robots can capture data in real time on the status, volume, dimensions, and location of items. The system uses identifiers and barcodes, noted the Wallingford, U.K.-based company, which has a U.S. office in Nashville.
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Stock accuracy and efficiency improve at Ziegler
In just a month since going live with DexoryView, Ziegler has seen a number of benefits. It has been able to locate missing pallets, identify mispicks earlier, and address operational pain points such as incorrectly labelled pallets and misplaced inventory, all without costly warehouse shutdowns.
DexoryView enables Ziegler to pinpoint recurring errors and target root causes of these issues, making the operations more efficient, said Dexory. Thanks to this automation, Ziegler is shifting its approach to inventory control, which the company said could improve operational excellence and customer satisfaction.
“In busy warehouse environments, there is no room for guesswork, and outdated data can lead to deliveries being returned and ultimately impact customer satisfaction,” said Oana Jinga, co-founder and chief commercial and product officer of Dexory. “We are working together with Ziegler to replace guesswork with insight and are allowing the business to find root causes to issues that, in turn, will help their business become more efficient.”
Ziegler is already looking to the future with DexoryView. It is planning on using the new optimization functionalities to optimize warehouse layouts based on movement trends.
The logistics provider is also aiming to provide its customers with live access to inventory data for additional peace of mind. Ziegler is also planning to roll out DexoryView to more sites after a review of the return on investment (ROI) from its first deployment.
