Turning Warehouse Blind Spots Into Real Time Intelligence With Dexory

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So get your agents on the same page by visiting denodo.com. And you can learn more about how to start trusting your agents to make business decisions. What if your warehouse management system says a pallet is present, but the physical warehouse tells a completely different story? Well, a company called Dexery has built autonomous robots that are capable of scanning inventory at heights of up to 18 metres.

And they're processing between 10,000 and 12,000 pallet locations every hour. I'm struggling to remember where I left my keys. So one billion scanned locations feels like something incredibly cool here. So today I'm joined by the co-founder of Dexory, who leads the company's commercial strategy and product roadmap too.

And together, we're going to discuss how physical AI is creating a continuously updated view of warehouse operations, and why collecting data without prioritizing action can quickly overwhelm teams. But I want to explore the world of robotics, how they can reveal lost stock, wasted movement, and unused capacity. so if your supply chain systems cannot see the physical reality how reliable are the decisions

built upon their data this is just one of many questions we'll explore today but enough from me let me introduce you to my guest right now so thank you for joining me on the podcast today can you tell everyone listening a little about who you are and what you do sure thing thanks for having me niels jinga i'm one of the three

co-founders at Dexory and I run everything that has to do with commercial and product roadmap and strategy for the company. I've been doing that for quite a few years now and yeah happy to tell you more about what Dexory is later on. Yeah I'm looking forward to it as well because one of the reasons I was excited to get you on the podcast is you set off my tech spidey sensors when I learned

that Dexory has built an autonomous robot that can scan inventory at heights of up to 18 meters which is incredibly cool but before we even get into the tech side of things what warehouse problem led you to that design and what can it detect that maybe conventional stock checks often miss now yeah so i i will take a well a step back into probably more than a decade now because we've

been working together as a founding team for over 10 years pretty much started with this idea of using autonomous robots to collect data from the physical world to kind of digitize the different physical spaces and initially uh we created something for the homes you kind of keep an eye on the house while you're away and like capturing what's what's happening in there we then moved into

retail stores which is going really well looking at kind of taking people around to different product areas uh but also as we were doing that keeping an eye on the shelves in the stores to make sure stock is there uh and obviously if something kind of is low that it can be replenished so people can buy as like quickly as possible um and that was going quite well um before the pandemic but

obviously 2020 came and it was a bit of a rocky kind of start to the year with all the lockdowns and of course our market disappearing overnight because all the stores closed. So no one obviously was kind of going to physically buy anything. So it was during the pandemic that we kind of first got a glimpse of there are similar problems as you have in a retail store, but inside warehouses,

whereas like people kind of know what comes in and what goes out of a warehouse, but what happens with the goods and the people and the machinery inside. It's a little bit of a black hole. Like you don't have GPS trackers to understand where stock goes.

There's obviously a lot of chaos, especially during the pandemic, because you could only get such a number of people in. You had to get a huge amount of orders out because everyone was ordering online. So it's a very, very kind of chaotic space that needed a lot of digitization.

So we took a step back and thought like, can we do what we've done before in the stores inside the warehouse? and that's kind of how we stumbled upon this whole kind of area of stock and visibility inside the warehouse. So coming back to, I mean, more recent days in 2023 is like when we launched the

solution for warehousing and never looked back. But the actual kind of question you had is like, yeah, what's the problem? And the problem that we address is you kind of need eyes across everything inside the warehouse because most of the decisions and most of kind of the systems record what they think should be there, where actually the reality on the floor is very, very different.

So we kind of provide that visibility inside the site from top to bottom, hence the whole 18 meters point, because you do have goods that are sitting at 18, 20 meters up in the air, which with human eyes, you can't, of course, even see. You have to kind of go all the way up there or bring the goods down and have a look at

them. But also, we are pretty much digitizing the spaces at an insane speed. So it's not just the fact that we capture information that humans can't because of height or because, I mean, yeah, you can go and scan a barcode, but you don't. Well, yet you can't take a picture of it with your eyes.

You don't understand volumes and shapes and sizes just like by blinking. So we capture a lot of data you can't normally do with people. But secondly, we do it at crazy speed. So that's what I'm saying.

Like we do about 10 to 12,000 pilot locations an hour, which means like in a few hours, you kind of get a full view of exactly what you have there. we continuously kind of update that uh over and over as the day kind of goes so um yeah the the