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Case studies
When a new warehouse opens its doors, there's usually a settling-in period; weeks, sometimes months, where the team is still learning the building as much as it's operating in it. Stock locations get bedded in gradually. Discrepancies surface and get chased down one at a time. Trust in the data builds slowly, through trial, error, and repetition.
FLX Logistics’ Peterborough site decided it didn't want that runway.



When a new warehouse opens its doors, there's usually a settling-in period; weeks, sometimes months, where the team is still learning the building as much as it's operating in it. Stock locations get bedded in gradually. Discrepancies surface and get chased down one at a time. Trust in the data builds slowly, through trial, error, and repetition.
FLX Logistics’ Peterborough site decided it didn't want that runway.

A real-time, accurate view of 1.1M sq ft, and a team focused on the work that matters.

At its Sterling Heights Assembly Plant, Stellantis partnered with Dexory to deploy DexoryView, bringing continuous, real-time warehouse intelligence into daily operations.



Maersk and iB Cargo partnered to optimise the Bolintin-Deal distribution centre (DC) in Bucharest, Romania. This initiative was undertaken to serve one of the largest global furniture and interior decoration companies.

Hello, I’m Dev, a Manufacturing Engineer at Dexory, and I have been working since December 2022. I am deeply passionate about machinery and committed to continually broadening my expertise in machine operations and tooling.

Since announcing its expansion to the North American market in February 2024. Its latest customer is Texas based Imperative Logistics, marking the first deployment of the technology in the “Lone Star State”. Imperative Logistics is using AI-powered robotics and digital twin technology to gain a deeper understanding into its operations across its distribution centers.

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.
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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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