Hi, everyone. We're reporting live from NRF 2023. I am in the deep North booth. I'm with Tracy Benjamin, who's VP of sales. So Tracy, Thank you so much for sitting with me for a few minutes. For those who are new, just tell us about deep North. Sure so deep North is computer vision. We use existing cameras and we take that video and we process it on the edge and send metadata to the cloud. And instantly you get data back in the store. So data from entries, exits, customer journey, heat mapping, product interaction, queue at the front end, even some loss prevention elements such as object identification and verification at self-checkout and on left parcels, unattended parcels, some things like that. So are you tapping into existing cameras in more stores? Yes, absolutely. We can use any camera. We don't need an expensive camera. We require, you know, like 15 frames per second. But it doesn't have to be an expensive camera. We tap into what is typically used by the asset protection team and we don't disturb their stream. We tap into one of the available streams in that camera. So what new features are you presenting today at interop? Well, I think our newest development, we first of all, we have 15 patented algorithms that really make our solution unique to other computer vision companies. So we are actually able to give you the customer journey, even though you might leave a camera view and re-enter another camera view. There might be some block space in between. But our algorithm of re identification will pick you back up and then put you in that place. So doing that we can say this person walked in the front door at a certain time. We get their gender, we get their age range, we know what time they came in. And then as they visit zones, how much time they spent in each of those zones, we know if it's own LED to a conversion, for example, a fitting room. Did they visit the sitting room? How long did they spend in there and did that lead to a conversion? So that's sort of our basic table stakes. We've been doing that for five years. Our newest product is what we call check out IQ, which is great in the grocery store base, but anyone that has self-checkout. So checkout IQ is the validation of what's been brought to the self-checkout counter or frankly, a manual checkout counter as well. This deal called suite hardening that they do, but the validation of the number of items in the basket or in the hand and then what's been scanned through the POS. So 10 items came in the basket, nine items were scanned. There's an immediate real time alert that goes to the attendee that's in that area for an intervention. And that intervention can be a really soft intervention to say, oh, hey, you know, how can I help you with your transaction? We can also do a pause in the transaction. So interacting with the process itself. So as soon as that is detected as a miscount, we put the pause in the pre and post. And then they have to seek some attention. So that's our latest project. Project we announced that it grocery shop last October and it was really well received. We had a whole setup with the kiosk and and there's a couple of other things in development. We do a lot of work and warehouse safety alerts and it's all real time. So hopefully we'll manage some of those accidents that happen. But a lot going on. Yes, a lot of insights are illuminating for the in-store environment. A big topic in theme this year is AI and really leading into data. So what's the one thing you're most excited about capabilities that deep North could bring forward to the next three to five years? Yeah, how about tomorrow? You know, so we are in a company, we use machine learning. So we do the machine learns itself, but then we do also what we call a system learning. So we're able to take a uniform of an employee and train the machine to recognize that as an employee is uniform. And then that way we are able to identify in the video the machine is who the uniform employee is versus the customer. So given that, we can do things like measuring customer engagement, we can do the associate customer ratio on the floor, a lot of really cool stuff even, you know, is there a customer or an associate in an unauthorized place in the store, in the back room, so forth? So I think what we're bringing that is exciting to me. And I have probably 30 years of stop leading store operations for the gap for American eagle, Ralph Lauren consulting. So it's a passion of mine, brick and mortar. And I would say this year in particular at NRF, I'm hearing such an interest in raising awareness, providing tools for the associates in the store that will create better value for them and better value for the customers. And I haven't heard that in a long time. It's been all about. Yeah so there's a lot of interest in video. Computer vision for physical spaces, because that's the one place where you just don't have your eyes. You know, your e-comm business. You have that data every minute of every day. So we're able to provide very similar data to brick and mortar locations, which is empowering. And so those store teams are excited to be able to understand what's happening in their store, how to allocate their labor in the most efficient way, because there is a lot of pressure on productivity right now. So I'm excited to be able to bring that to them in real time. I love that. Well, validation of the store is not dead or dying. No, we'll still want to be in person. And the definition of values evolving. It's not a race to the bottom who could sell the cheapest goods. You're not going to win as a branded retailer, and that's not all the consumer's valuing. So I think, to your point, empowering the store associate so that they can really bring that authentic layer of value is going to be critical. So I love what you guys are doing. Thanks for staying. Thank you, everybody. Again, this is Tracy hefty. Thanks so much. Keep watching them because innovation continue. Keep your eye. Thanks so much, Melissa. You
