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With a focus on industry and automation, highlighting the latest innovations and developments in the robotics industry.

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Dexory secures $80M funding to drive global expansion goals and development of groundbreaking technology

Dexory, today announced it has successfully closed an $80 million Series B funding round. The round was led by DTCP, with participation from Latitude Ventures, Wave-X and Bootstrap Europe, along with existing investors Atomico, Lakestar, Capnamic and several angels from the logistics industry.

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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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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.
Thought leadership
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Ground truth: the foundation physical AI is built on

Most businesses can answer two questions about their warehouse with confidence: what came in through the door, and what left it.

Everything that happens in between is murkier than most operators would like to admit.

The WMS says 15,000 units are in bay C4. The ERP agrees. But when did anyone last physically verify that?

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Case studies
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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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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.
Blog
All

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?”

Read more
Watch on-demand
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.
Thought leadership
All

Ground truth: the foundation physical AI is built on

Most businesses can answer two questions about their warehouse with confidence: what came in through the door, and what left it.

Everything that happens in between is murkier than most operators would like to admit.

The WMS says 15,000 units are in bay C4. The ERP agrees. But when did anyone last physically verify that?

Read more
Watch on-demand
An empty shopping cart in a busy retail store aisle, representing the inventory accuracy and stock availability challenges warehouses must resolve before peak season demand arrives in Q4.
Blog
All

Five warehouse questions to answer before peak season

Most warehouses head into Q4 relying on WMS data that doesn't reflect physical reality. Here are the five questions operations leaders need to answer, and why most can't.

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Busy multi-level retail shopping mall with shoppers, representing the growing consumer demand and e-commerce pressures driving the need for retail warehouse optimisation, real-time inventory visibility and intelligent space utilisation.
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Retail warehouse optimisation: visibility to intelligence

Warehouse space is not just about storing and moving products. Making every square metre and every process perform under pressure is what matters. This pressure is increasing. E-commerce is growing, labour costs are rising, and global uncertainty and tariffs are making operations less predictable.

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A long corridor of warehouse storage units stretching into the distance, representing the critical warehouse investment decisions and operational planning challenges that cannot be deferred as budget season and peak season preparation converge.
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The warehouse investment decision that can't wait

Two deadlines are converging right now: budget submissions and peak season preparation. The operations teams that treat them as one conversation are the ones that enter next year in a position of strength.

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Watch on-demand
Case studies
All

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.

Read more
Watch on-demand
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