And speaking of a serious enterprise, I'm delighted to welcome Jeff Angus, who's the VP of IT and ecommerce at Calerez. Jeff, so nice to have you, and thanks so much for being so generous in spending time with our audience today. Great to be here. Thank you. Jeff, perhaps not everyone knows, Carreras. You're a very important company in in your space. I'm sure people understand your brands much more, but tell us a bit about Calares and and and, specifically, the complexity of the business you're in and and what challenges that brings. Yeah. So Calaris is a global footwear company that is broken up into two different, major divisions. We have our wholesale side of the business and our retail side of the business. On the wholesale side, we manufacture lots of different types of product, everything from athletic to casual to to dress. Some of the brands, that you mentioned that people would probably know would be Allen Edmonds, Sam Edelman, Franco Sarto, LifeStride, and others. And then on our retail side of business is Famous Footwear, which is, a thousand brick and mortar stores nationwide. We have operations also in Canada. I think we're up to, like, twenty stores in Canada. And we do sell some of those brands, that I mentioned before in our famous footwear store, but we also sell, Nike, Converse, Hey Dude, Crocs, any other brand that you can think of. As far as, like, our scale, we have, at any given day, like, five hundred thousand to six hundred thousand, individual SKUs across all of our sites. And, we do have a singular platform that serves, Famous Footwear amongst a number of our other brands. So it's a mixture of omnichannel and direct to consumer all running on the platform. That's an amazing amount of complexity that, you're dealing with across brands and half a million SKUs and, billions of dollars of, of, of sales and, and obviously, manufacturing and distribution. How have we worked together? How has Coveo, if you can share with the audience, we've been working together for years now, how has Coveo helped Calera to overcome these complex challenges, and and and how have we helped you increase revenue, reduce cost to serve, and and things of that nature? So going back not that long ago, we had a search engine that was best of breed at the time, and we would, adjust how all the different rules on that search engine by using what was called concept weighted relevance, which is a fancy way of saying that we had, like, a list of boost and bury rules and the source entries and whatnot that was relatively static. Like, it was almost like it was fire or forget. We would go in periodically, update them, and, make sure that, they were up to up to the minute, ready to go. But as far as customers and their changing patterns, and the way that they would search for product, it wasn't kept in sync. So it was a highly manual process to keep those rules, updated. And once we onboarded Coveo, once we moved to our new platform, we still have fourteen distinct catalogs. We have fourteen distinct sets of rules, but the AI that, Coveo brings has actually enabled us to create unique experiences for our customers on our, PLPs by dynamic facets, by, the research results, what's powering the search results, the most relevant product by type of customer that is actually shopping in that moment, and then also our recommendations. And to to have a rather large team to manage all that manually would be impossible. So what AI has given us is the capability to scale and handle all those individual, relevancy, requests. So in in in your world, it's it's really it's it's really impossible now to to compete without AI. I know you're focused on the best end to end customer experience. I'm wondering what factors come into play with that, you know, things like BOPIS or I know you're dealing with virtual try ons. I mean, how are you achieving them? What what's your plan? So we are constantly evaluating yeah, BOPIS, as you mentioned, has been a very important feature for us. We actually had that implemented before the pandemic, and we were able to pivot to curbside pickup, and back to BOPIS, after the pandemic, ended. We are looking at other capabilities to add constantly, and and one is, same day delivery so that, we can compete with the Amazons and the Walmarts to get product to people the same day that they actually see and order it. We're always looking at, ways to reduce friction in the checkout process, and the shopping process. So for instance, in cart, payment methods that we are probably on the forefront within our competitor space of, Apple Pay and Google Pay on the web, not just in our apps. Also, Venmo and, SplitPay. And returns is, something we're also always looking at. Returns is something that, no no retailer likes. In footwear, it seems like we have a higher percentage of returns. We have lots of customers that will buy a a a red and a blue and knowing that they're gonna return one or the other. But fit seems to be one of our biggest challenges because depending upon the construction of each individual pattern, there can be a big variance in size. And, making sure that we have very liberal, return policies for our customers and very easy, return pathways. So we have recently added a capability for, customers to drop off their shoes at FedEx. For Amazon, I think you go to US, UPS here, in the states, but, our customers can go to Federal Express, scan a QR code, and, drop their shoes off and make an immediate, refunds. So, I mean, we talked earlier about the power of AI to look at Mhmm. At multiple constraints and, and opt optimize. You mentioned returns. You know, there are obviously constraints around inventory levels and, and so on. In in delivering that great customer experience that you referred to, how have we helped you achieve these customer experience goals, basically, you know, reducing, potentially returns or or offering products that, you know, are in the inventory or or offering, more catalog coverage, etcetera. You mentioned that AI, that some of what some of this wouldn't be possible without AI, which is what is fascinating about this space. So Mhmm. How tell us about about some of the things that we've done to achieve these customer experience goals while obviously protecting the interest of your company. So one of the most recent challenges that, we have faced, is in the space of, where a customer is is hitting us with their first request. So for many, many years, the, the front door of the web store was always the home page. And we spend a lot of time and energy building experiences, whether it's content or telling customers about our sustainability, features of our products, our about our rewards program, depending upon the site. And what we have been, what we have found is that customers are now actually coming to us, a a great percentage of them, right to the PDP. So they're coming from from Google, from, influencers, social networks, and bypassing, you know, a lot of that, storytelling and, brand, you know, aesthetic that we're trying to create, a whole experience for them, and they're coming right to right to the PEP. So what what Coveo has really helped us with on that, and it's something we're always working with customer success on, at Coveo to, to help us tweak and test, is we have multiple levels of, recommendations on our PDPs. So if that customer has come and they're looking at that red sneaker, that's the hope is that's on our recommendations to two different types of models that, the AI is going to give them something to retain them. Customer's attention span is very, very short, and, getting them into the purchase funnel by either the product that they came and looked at initially or an array of products that, should be, relevant to them is very, very important. We often say that digital patients is an oxymoron. Right? People don't have a whole lot of attention, as you said online. And as you scale the business, I mean, you know, Caleras is obviously already a massive, company. If you think about scaling, what impact is AI having on on your business today? What what does it enable your teams to do that they couldn't do before? So whenever we have added another site, in the past on on our legacy platform, it was it would always add, more team member components, to actively manage things around, merchandising, around, search and whatnot. And what, Coveo and, the AI that it it gives us is we can create unique, unique experiences from a product perspective across many different, web stores and not have to have the manual day to day tuning and, interaction with the catalog where, the AI really, really, extends the team and still allows for us to, to tweak, where where we, see fit. But, we are really leaning on, the machine learning and the models to, to get people into the, purchase funnel. And where do you see this going? I mean, when you think about AI and and the future of AI and and, of of applying AI in your business, where do you think what what what what's your vision? Where do you think this is going in terms of capabilities and, in in the future? So we're we are, how do I see the future? We are currently standing up to CDP, and that's giving us a really, wide ranging view of our customer and their purchase history and how long they spent on the site, what kind of product they purchased. And I could see us adding that amongst other data points that we're constantly adding to our models at Coveo, to help us get a, a really, really good picture for the model to action on to give us give that customer the most relevant, product as a, product choices as they come and shop the site. Yeah. So it's it's it's really about how how you think about giving customers what they want while making sure that, you know, you satisfy the interest of the shareholders at the same time. Yes. And we have recently added a number of data points, to our models around margin and returns and and other things that are helping to influence and boost, the most relevant product for our customers that has the highest margin possible for us, and the least and, hopefully, the least, reason to return. Jeff, I think that's the future of commerce, and, you guys are such a leader. You're doing this today. So, thank you for the partnership, and, thank you for sharing your experience, which is truly, leading edge and amazing. Again, thank you very much. Jeff Angus, the VP of IT and ecommerce at, Caderez. Thank you.