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

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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.

En savoir plus

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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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.

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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.
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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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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.
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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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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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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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Études de cas
Tous

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.

En savoir plus
Regarder à la demande
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