Success stories

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Case studies

Built in, not bolted on: How FLX Logistics started right

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.

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Illustration of an AI-powered brain on a digital circuit board, representing the physical AI and machine learning intelligence required to bridge the gap between warehouse management system data and real-world ground truth inventory accuracy.

Ground truth: the foundation physical AI is built on

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Built in, not bolted on: How FLX Logistics started right

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.

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How Saddle Creek turned a high-volume multi-client hub into a real-time source of truth

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

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Driving operational excellence for Stellantis, a global automotive leader

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

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tellantis Dexory robot in warehouse.

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Aerial view of the Sydney Opera House and Harbour Bridge representing Dexory’s expansion into the Australian warehouse and logistics market following the CeMAT Melbourne robotics and automation show.
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The middle ground Australian warehouses have been asking for

Our colleagues Jackie Bibby and Ben Smith spent three days on the CeMAT Melbourne show floor this June. They spoke with Australian warehouse and logistics operators about where robotics and automation are heading next. One theme came through clearly. Many operators are looking for a middle ground - something between doing nothing and committing to a major automation project.

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Dexory’s next generation autonomous warehouse robot navigating a densely stocked warehouse aisle, representing the deployment of physical AI with NVIDIA Halos safety platform to ensure safe 24/7 autonomous operation alongside people, forklifts and equipment in complex industrial environments.
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Dexory advances safety for autonomous robotics

Combining real-world autonomous robotics expertise with NVIDIA Halos safety platform supports Dexory’s safe deployment of physical AI in industrial environments

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Warehouse manager reviewing DexoryView Integrity Storage Health platform on a laptop, showing AI-powered detection of rack damage, hanging shrinkwrap, tipping items and item defects across 10,000 scanned locations, enhanced by NVIDIA Cosmos foundation model integration for improved warehouse storage anomaly identification.
Press releases
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Dexory identifies a broader range of warehouse storage issues with Storage Health and NVIDIA Cosmos

The integration enhances Storage Health’s capabilities across complex warehouse environments

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Thought leadership
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From visibility to intelligence to action: The next chapter for Dexory

Six months after launching DexoryView Adapt (‘Adapt’), our customers are showing us how AI and physical intelligence are changing warehouse operations - and where the industry is heading next.

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Zoë Cavell, General Counsel at Dexory, smiling in a Dexory branded t-shirt at a Dexory facility.
Working at Dexory
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Meet the team: Zoë Cavell, General Counsel

I’m General Counsel here at Dexory, looking after legal, compliance and risk. I qualified as a solicitor back in 2005, originally working in commercial property and then transitioning into general commercial work when I moved in house. I’ve also done other jobs - legal ops and training, property management, teaching and working as a buyer for an airport retailer.

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A warehouse operative in heavy-duty gloves scanning a frost-covered box with a barcode scanner in a cold storage facility, representing the limitations of traditional handheld warehouse scanning technology compared to modern autonomous inventory data collection methods.
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Warehouse scanning technology: why data collection differs

Warehouse scanning has evolved quickly. Across distribution centers, handheld scanners, forklift-mounted cameras, drones and autonomous robots can all make inventory capture faster.

But they are not solving the same problem. The data collection methods each technology uses determine what questions it can actually answer.

The important question isn't just “How quickly can I scan my warehouse?” The better question is: “How consistently can I understand what is happening - and what can I do with that information?”

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