I think we've started. We'll give everyone just a few more seconds to sign in. Thank you very much for joining those who already have. Just give them until two minutes past and then we will kick things off. But we shouldn't take up a whole hour of your time today. Don't worry. We can spend a minute to make sure everyone can get in easily. I can kick off with the agenda though in just a couple of seconds. Make sure that you guys are clear on what we'll be running through today. All right. Just so that people aren't missing out on too much, I'll spend a little bit of time here. So lots to run through. We've got four presenters. You've stuck with me as always. We've got the lovely Jan and Yelena on the product side and a special guest today. So we've got Imran who has taken the reins of Fredhopper and leading us into quite a few new exciting journeys. So we'll be hearing more and more from him in the coming months. But he'll be running through the future of discovery in the new world we find ourselves in. So that's the bottom bit there. And the rest is all the product bits that we'll be running you through. Cool. All right. So immediately I'm going to hand over to Imran on the first couple of sections. Thanks very much. Cool. Thank you for that, Tom. Thanks for pressing me into that. So thank you. Good morning. Good afternoon, everyone. So I just wanted to take a minute just to kind of talk through two points before we get into the meat of today. And the first one is just a reminder. If you're not aware, we have launched a new brand for Fredhopper and a new website. And we'd love you to go check out the new site, check out the new proposition and feedback. But I think it's important just to probably reframe why have we done this. So as many of you have been aware, been with us for many years back in Attract and then acquisition through Crownpeak, let's be honest, you know, last year, we started to recognize as a brand as Fredhopper. But we possibly lost that brand resonance. We'd been diluted a little bit. What with the Crownpeak branding and acquisition. And we weren't talking to the market and the customers as Fredhopper and prominently as Fredhopper. And on speaking with many customers, a lot of customers just said, we loved Fredhopper. Why can't you bring Fredhopper back? So that's what we've done. So Fredhopper is now proudly a brand in itself. We are obviously still part of Crownpeak and you will see Fredhopper as a Crownpeak solution. But it does have now its own brand, its own new website. And as a business, that's kind of how we're focusing our roadmap and our teams going forward. We've got more control and we have our own destiny, as it were, as a business as to what we're actually going to do. So please go check out the new brand, check out the new website and please feedback. Tell us what could be better. Tell us what feels like it's missing from the site. We want to try and get some of this feedback because the website is basically a constantly evolving entity in itself as it is for your businesses. And we want to kind of keep making it better and better. Now, equally, when you go through these rebrand exercises, I'm sure many of you have gone through it as well. You start to think about your vision. So Tom, would you mind just going to the next one, please? And as part of that kind of exercise, we started to think about where do we really fit? What do we do really well? And where are we going? And what do customers believe in with us, the challenges they face and how do we go and address them? So we did go through a visionary exercise. And I do want to happily and proudly talk about our vision that we are taking to market. So brings us to the vision statement, your brand story, intelligently crafted and discovered. So let me try and break some of this down a little bit. So why your brand story? Well, for us, we are seeing commoditization in our industry. And I think the brands that we represent, they want to be in empowered in order to differentiate through their brand story and through their narrative. It's something that's unique. It differentiates them. It's their distinct, distinct voice. And it's a special kind of reason why customers would keep coming back to you. So we want to help you honor that story and help express it powerfully through how you merchandise. And especially with regards to things such as visual merchandising, which we all know is a very strong point for Fred Hopper. The intelligently crafted piece. So this is representing this evolving situation and ecosystem we're seeing ourselves in with regards to AI. So this is where we're looking to fuse AI automation, intelligence and curation. So it's coming back to what we believe strongly is our differentiator and also the differentiator we believe our customers want to promote. And that is kind of their curation capabilities, but doing it at scale. So curation at scale is what we're all about. Now, that's where we're starting to leverage this intelligence, be it to learn, adapt or improve every interaction that you create with your customers. And some of this is not all with us. Some of this is starting to develop outside of kind of our brand and in the wider ecosystem. So we've been leveraging algorithm orchestrator. So Jan, product manager for XO here today. He's been talking about the interoperability of how we fuse and play with different technologies that aren't just ours, but also third parties. And some customers here have been leveraging their own algorithms, third party algorithms with our own, mixing them, blending them, optimizing them to create this intelligence at scale. And this is something we started many years ago and believe it's actually going to be more and more powerful for all of us as the AI world kind of continues to grow and emerge. Discovery. So this is that creation of those intimate moments, those discovery experiences. And it's across all channels. I know currently many of us just focus purely on the web, mobile, but you know, it's how do we kind of ensure that consistency, promote that story, promote that merchandising across all other channels across all other channels. And that's not just social, but also around your marketing campaign plans, your marketing channels, how we think about the new emergence of GPT and how do you ensure your tone, your message, your assortment is also promoted consistently across all these new channels that are emerging. So that's kind of where we've been thinking about. So how do you ensure your brand story is told effectively? How do you do it as scale? And how do you do it consistently across all these different channels that we know your customers touch? Now, that's our vision. And there's some crazy ideas at MerchLab last week, we were talking to it through with customers, some of which you're actually going to see today, which are starting to develop. But there are some fundamental items that we need to go and fix. And I do want to be mindful of that and highlight that we are mindful of that. So some of the things you're going to see today in terms of the roadmap, there's some fundamental things that we are going to go and fix. Search Suggest is one which has been a hot topic for us as many of our customers. We're going to go and fix that. And you're going to talk a little bit about that today. But then there's all the new innovations around conversational experience, merchandising agent, how we start to inform, support you as merchandisers in your daily activities and your trading. So thank you for joining, Tom. I will stop rambling, but hopefully that set you and the team up. Thank you. Set us up perfectly. Thank you. Yeah. So from vision to how we're actually going to start on that. So let's try and make that a little bit more real, a bit more tangible. Just a quick update on the roadmap today and then we'll move on to some other bits as well. But the two main focus here that you'll see running through are the Accelerate with Gen AI, as it says here. And there's many, many exciting bits there that you'll see details on as we've run through. And the other focus that we have is on testing and reporting. So there's more than these going on, but these are the two big areas that we're making big investments into. And I think of it as having a, almost like a racing car without a steering wheel and without a speedo, without all those things, if you don't have the testing and reporting part, flying blind a little bit. So while we've already got great A-B testing and loads of things that you can do within there, this is just going to take it to the next level to make sure that it's the most actionable, as actionable as possible. And you guys can optimize those tools as well as you can. I will hand over to Jelena. Thanks, Tom. So I'm just going to talk about a little bit on the AI focused roadmap. So currently in Q2, we are working on completing the A-SRG powered by LLMs, currently being developed with customer data. to show performance improvements. I will talk about a little bit more later about conversational shopper experience. And in Q3, we want to focus on developing merchandising AI agents that is meant to empower yourselves, merchandisers, people who work with Redhopper with different use cases. We're going to cover that a little bit more as well. Other key topics that we're also looking at is how we can leverage MCP clients with Fred Hopper to feed it more data, more publicly available data to help support the knowledge of an agent, for example. And similarly, in the future, a hot topic is generative engine optimization. We also want to see, is a very early stages in talks about it. We want to see how we can also make that an offering in Fred Hopper. Tom, back to you, I think. Thank you. Yeah, just try to find the webcam button. Here we go. Cool. Thanks. Yeah, really exciting stuff. Thank you. And yeah, we'll get more and more info as you see on future ones about all these future topics, like the GEO agent, exactly how that's going to map out and how we can get you to the very top of all these new publicly accessible popular LLMs. And yeah, there's plenty to see. So please do keep coming back to these sessions. This is a snippet of a very exciting topic, but we obviously we can't show everything in one session. Then there's the non-AI stuff. So this involves the insights bits and suggest stuff and loads of other things. But obviously we've got a huge focus on the AI bits. We have a whole team of people working towards that. And then the other half of our guys are working on the other bits. It can't all be an AI, but obviously we need to have a huge focus on that. So we kind of split it out in our minds to make sure that we're putting enough effort into both of those lanes. The ones in green here on the left, I'm not going to go into on this slide because we've got dedicated slides on those. But I've kept them in here so you can see the dates. And those are all pretty imminent. So please do keep in touch. There will also be a poll at the end to talk about if if you're interested in any of these and if you'd like to talk to us about them, because some of these may be at different stages. If it's one and you'll be interested in beta, great, let us know. If there's one where you're interested in helping us with requirements gathering or fine tuning exactly how we're going to deliver these things, then yeah, please just do put your name down on those and then we'll have you on the list and we can reach out as and when appropriate. Then when we get to the middle column here though, you can see there's a few other exciting bits. We've got customer alerting. So this handles the control over to you guys. So not just the control, also the visibility. So you can set up any customer alerts that you'd like. If something goes over a certain threshold, you're not getting as many activities as you used to in insights or over 10 of your products failed to index for X, Y, Z reasons. And you can set all these customer up down to your guys' risk level. It just depends on the kind of customer you are. Sometimes marketplaces might have a slightly higher tolerance because they're getting data from so many places. Whereas if you have full control over your data, you might not be very strict about that. Except all those apps that you guys get notified and you're never in the dark. And then after that, you can go in, check the monitoring, do deep dives. Jan has showed this in previous sessions. So hopefully you were able to join them. If not, reach out and we can set something up with your CSM. But very exciting. And you guys will have all the control there. Scalability and performance. We're always upgrading our tech stack. So we need to deal with new changes in the market. New technology usually has bigger requirements. Customers have bigger data sets, more complex data sets. And we've just got to always stay a few steps ahead of that. And then this will ensure that we do that. Documentation as well. Not all kind of developer based, that this is a huge one that should affect customers. So not just how do I do this? Where do I click? That stuff. That's important. But there's an increased focus here on value bits. So more consultative stuff. How can we inspire you? How to make a testing plan? In this scenario, what may I be able to do to maximize my success? Please, yeah, just kind of helping with those strategic decisions that are a little bit more challenging. This is great. Because it helps in general. And as a phase two, as Gen AI gets more and more involved, this will also help there. So we can have things in more of a conversational interface as well, which will come up. But this is a great building block for both that for now and for later. And then indexation speed improvements as well. So this is a very important one. As I said, catalogs and data sizes are all growing. We need to make sure that we need to make sure that we need to make sure that that doesn't cause any delays on your guys' side. So again, just making sure we're two steps ahead of any market changes there so that you guys never have to experience anything bad. And did I think I may have missed one? Oh, the rule-based tagging as well, which we will have a slide on in a bit. So I won't go into that in too much detail now. So it suggests 2.0. Imran has already teed this one up. Beta coming out in Q3, as you saw on the previous slide. So we all know what suggest is. But we'd be looking to deliver on the three main areas, keyword, category, and product suggest. And yeah, the keyword to finish off words that are being typed, save a bit of time. But the key one here that we think is to extract those additional preferences, like below, I'd have written, dress in red. No, let's not just do a dress search. Let's try and extract some more preferences there so we can show them exactly what they want. That's the huge value driver that we've seen through suggest. But we can't get rid of the other two either. Those are still very important. The category suggest, depending on the catalog, especially on technical catalogs, we know that this is interacted with a lot to make sure that you can get to those category pages a lot quicker. And also just showcase that, okay, if I'm going to type something in, we do have things that match that query. And these three categories may inspire them a little bit further. And the product suggest as well. Making sure that customers have the confidence in the search itself. So if they don't see anything appearing in there, they may think that you don't stock it. And we need to avoid that. And also the inspiration of shoppers as well is a huge one. So the value here should be relatively clear, but encourage valuable searches, as we've got there. The shopper confidence, the control that you guys will have is a huge one as well. So I know that you've obviously acclimatized having all the control that Fred Hopper has in your search. So your ranking cocktails, your result mods, your synonyms. And those will now be available just as quickly as you have them for those, for your regular search. So you can make a change and see it right away in your suggest. And it will mirror. So you have, you set something up for search and it will affect both. You don't need to do anything twice. It's all in one place. You don't need to raise any tickets. There's no, nothing on, nothing on our side that we would need to do. You can have full control over that. Imran, I've just seen you've come on webcams. Yeah. And I know you're also worried about what I'm going to say. So Tom gets a little bit worried when I come on, but I am really excited about this. What we've done in the last week is pretty phenomenal. You know what I mean. My word in this morning, I need an extra coffee maybe. But I am really excited about this and I think it's going to be valuable. We currently have five customers in beta right now. And it's looking really promising. So this is one of those fundamentals that I spoke of. We kind of need to get this right and need to get it out fast. My hope is that we can start to push this through and folks can start leveraging it before peak. So we have five customers in beta right now. If you want to be added to that list, and get early access to it, please reach out to your CSMs today. Okay. Because we want to move on this as soon as possible. We want to try and get some testing underway as part of this beta to try and get it to GA ASAP. Because I would love for this to be in place for the majority of our customers. And I know Tom's getting a bit worried as to what I'm saying, but before peak. Okay. So please, if you see value in this, and I think you do, because I know it's a hot topic for many customers, please reach out to your CSMs today. And let's start adding you to the list. Sorry, Tom, I'll leave you alone. No, please don't. Please keep chipping in. Yes, completely agree. Please do reach out. This is a very exciting one. Additionally, just want to confirm that the second you see something in search, you will see it in suggest. So those two services will be completely mirrored. So yeah, please do reach out. Beta ongoing, but we want to keep pushing forward as quickly as possible. So I'm going to go on this one. We've got insights, internationalization of filtering. I've gone through this a couple of times, but because it's so imminent, I've wanted to let people know that this is coming. This will have a couple of milestones that you may have seen where got global filtering to begin with that affects the whole insights dashboard. And then per report filtering because sometimes a filter will only make sense in a certain place like a search terms. Filters are going to be a little bit different to the category page ones because just the way that you interact with those pages. But at a high level, the idea here is at the moment, you may have a couple of dashboards. If you've got a couple of sites, having them combined, if you've got different regions, but you can still split those out. So you can say, actually, I just want to look at the UK today. I just want to look at France today, whatever it may be. Not just split them out though, as a further milestone, not in step one, but we would be able to split as well. So you can compare those regions. So for example, if you've got one ranking strategy functioning over multiple countries, it may be working really well. In five out of the six, but one of them is underperforming. And if you can identify that easily and quickly that that's an outlier, go have a look, come up with a hypothesis and start testing. But then because we've got this filtering, it seemed very silly not to take advantage of it in other areas as well. So if you've got one ranking functioning across five pages as well, maybe all of menswear, and it's working really well in the trousers and shorts, but not so well in the shirts and t shirts, whatever the comes out of the data, you can have a look. And maybe that's expected. But if it's not, you can go to the front end again. And it's just finding those outliers, or finding any recent changes, maybe something's dipped off recently, not even just to conversion, maybe the clicks or clicks have gone up, but other things have dropped off. And you can start to see these things so much more easily, especially with the new graphs that we have in there. So you can see trends over time, mixed with the splitting out of different categories, different devices, different customer groups, all of these things that will come down the line. So you'll be able to get basically all of the hypotheses you could ever want and really help with your testing schemes there. So huge shout out to Insights and also to AB Testing. Please do make sure you get the tracker if you don't already. And I will hand back over to Jelena. Thank you very much. So I will talk to you about another, I believe, highly requested feature. So single sign-on that is now available, well, not yet available for general availability. So what is it? A secure centralized login to Fred Hopper Merchandising Studio using customer manager user credential. In other words, you and your organization can use your own identity providers and your own single sign-on systems to create users to create users to create users that access Fred Hopper Merchandising users and credentials. Hopefully it creates less work on the admin side and less waiting times to get access to Fred Hopper. So it's already mentioned that it should save time in admin. Also, it allows yourselves and your organization to control access and authorization. And it provides additional security because it will work for example with your multi-factor authentication. When it is going to be ready, you can try it out. Well, we're finalizing the work on it and due end of, sorry, early August. So already in August, you can potentially get it implemented in your system, your Fred Hopper. Please contact your CSF or CSF or you can even raise a customer support requests to help you with this. Next slide. So just an update. I've mentioned this in the last project office hours. Conversational experience. Thanks for clicking the video. You can just see a little demo here how it works. It's LLM based chat that leverages your Fred Hopper rules to, well, to discover products that you ask about. So I just wanted to say that the build of this minimal viable product version is coming to an end also early August. If you are interested in partnering with us to test this live and to try it out with your shoppers, please reach out as well to your CSF. So, this is expected to be ready. Next slide, please, Tom. Thank you. Oh, yes. So, please could you share your interest in a poll whether or not this is something you're planning to add to your 2026 roadmap. Yeah, exactly. We know this is a hot topic, but is it actively being pursued by you guys as customers? Or is this just something you've heard about and you're keeping an eye on? We need to help to understand your priorities so we know whether we keep driving forward at a million miles an hour here or if this is something that you're not quite ready for yet. Obviously, we want to push forward on this as fast as possible, but please do let us know your thoughts. Cool. Thank you. Lots of votes coming in. Thank you. Oh, I'll keep the poll open, but we can keep running through onto the next section, I think. Yeah, of course. Thank you. All right. And this is coming next. So, as already mentioned, merchandising AI agent. What is it? We're looking at empowering agents with LLM-based tool that will help you on a few different use cases. So, we're looking at Fred Hopper configuration, insights, and understanding trading behavior, and generating recommendations, potentially in the future, even implementing recommendations for yourself. Why should it matter to you? Because hopefully the learning curve on using Fred Hopper, especially if a new customer or a new user comes to it, should be shorter. We want to also save time on any repetitive configurations and tasks that you normally do in Fred Hopper. by automating them. And then, finally, we want to look at how to leverage this sort of tools to inform you of any sort of outliers, activity, and missed opportunities with recommendations to help you find them quicker and leverage and optimize Fred Hopper performance for, well, your best outcomes. As I mentioned, as I mentioned, this is coming next. So, it's currently in discovery. We're prioritizing building this in Q3 in the next quarter for us, which starts in August. At the end, I believe we'll have a poll so you can show our interest as well in this topic if you want to participate in any research or even testing. That's all for me. So, Jan, I believe you're next. Yeah. Yeah. So, rule-based catalog enrichment. So, basically, we have this capability already used in our advanced recommendation tool known as XO. But this very interesting feature is a key feature in XO, and it basically enables a lot of flexibility to your merchandising by creating any product segment you want to meet your merchandising needs. And what we are doing now is bringing it, so this feature, to the rest of FHR features. So the search, navigation, result modification. So the idea is basically to bring more flexibility for you. And what this is about exactly, so you will have two features, in fact. So one based on the rules, tag rules, where you can create a lot of complex rules, conditions, where you can basically say, for example, if you wanted to flag items based on the material linen, for example. So you can read in the description or the title, for example. And if you have items where the linen world is, we can flag items based on that. And so you can create a product segment linen that you can basically then promote in your merchandising. You can go further, like if you wanted to create a specific product segment linen, but with a very big stock. So you want really to boost this specific group of product. You can create a combination of condition based on that. So based on the linen world and the fact that the stock is very, is more than, I don't know, 100 pieces, for example. So you can create very complex rules to create any, again, any product based segment. And the second feature around the tag rules is the manual tagging, where you can basically, for example, for the Black Friday or other new collection, for example, you can copy past a list of product IDs and just tag those IDs and then use it and play with this tag in your search or navigation. So it really brings a lot of flexibility, more flexibility than ever in your merchandising. And basically this is coming soon for you. And back to Imran, I guess. Yeah, awesome. Thank you. I will move on. I'm just going to launch the poll on this to begin with, unless you wanted to say anything first, Imran? No, I think launch it. I can kind of frame a little bit of this. And you're not getting away with this, Tom. So I think you can tag team a little bit on this as well with me. So let's launch the poll. So it's been kind of circulating for a little while. And last week at the London Merch Lab, it was a topic around ChatGPT. And that's in the context of customers discovering products and asking GPT to, provide recommendations of products within the GPT console, as it were, versus actually kind of on your website or Google in particular. And there's a lot of headlines around this right now. So I just wanted to take a little bit of time just to touch on the topic and also get a feel from our customers in terms of how much of a concern is it and help with a little bit of a reality check of what we're seeing kind of right now. So Tom, forgive me, I can't see the poll. But I can see it launched. Hopefully we're getting some responses. Yeah, yeah. I don't know if you've got enough responses to share some of the results. I can do. It is mostly a yes, there is a concern there. So we're almost at half with yes, and then a quarter on no and a quarter on not sure. Okay. So unfortunately, we don't have an immediate answer. Okay, I think it's moving really fast. But what I wanted to do was provide a little bit of reality check of what we see right now. Because I think if you just move to the next slide, Tom, I think we're seeing a lot of headlines screaming about the death of traditional e commerce. I think it might affect different verticals of retail more than others. But equally, I think, what would the code leak of Shopify providing a leak in terms of a checkout directly in GPT, that's kind of added more fuel to the hype. So we've actually done a little bit of research. It's something that we've been thinking about from a roadmap, and it does fit back into that vision piece as to where does GPT and similar channels kind of fit in our future for our customers on our own solutions. And I wanted to do a bit of a reality check. So the hype is kind of saying, you know, AI will replace all shopping and traditional e commerce overnight. You know, I think many of us probably see similar ads from various different vendors on our Instagram, Facebook, or if you're really down with the kids, TikTok. But I think it's important to do a bit of reality check. So if you just go to the next slide, if that's all right, Tom. So this is where from the data that we've taken from various different sources, we've kind of synthesized it to try and see where the growth has been and where it's projected to go. So currently, right now, 1% of traffic hitting the sites at the moment is generative. Okay. And I don't want to downplay 1%. 1% is still very, very important. But it just tries to frame that that 40 odd percent that's direct, you know, right now, that's still, you know, where the focus should be. That is where the majority of the traffic's coming from. As I'm sure you all know, it is a case of that 40% has switched to GPT kind of overnight. What we are predicting and Gartner also suggests the same is that by 2027, it's projected to be 5%. So it is growing. Okay. It is something that we definitely need to be aware of. I think what is more current, though, is that just in the same way that many of you are seeing direct traffic to your website hitting the PDP versus, let's say, traditionally on the homepage, my suggestion on our thinking is how, in the short to medium term, do we ensure that that PDP is optimized to carry on that journey? So just as you would do, say, with a Google PPC kind of referral coming direct to a PDP, you're kind of in the same boat as we're seeing it with GPT right now. So GPT provides a recommendation, it comes directly to your site, how do you ensure that you help that shopper continue their journey on your site, and maybe help them with their discovery across different categories or further into your site. That's kind of where we are seeing is where we need to be able to do that. So how do we need to be focusing right now? So how do we move from the hype into the strategy? So next slide, please. Just before, though, I'd just like to point out on this slide that, yes, that is going up, I completely agree, but direct is also going up. I know you're saying a lot of that's to PDPs now, but it's not seeming to be cannibalizing that, seeming to be cannibalizing the organic search and the paid search, social and direct kind of taking on each of them, but sorry, social and LLMs taking on that traffic. But with direct still going up, it's still such an important avenue. So we can't forget about one just because chat GPT has become such a big thing. We need to kind of fight this battle on both fronts. And I was at Gartner the other week, and they were saying, no one's missed any boats yet. But we just need to start thinking about it now. Because if we start thinking about it when it is a big problem in a couple of years, then it's going to take us a couple of years to catch up. So that's all. That's all we're asking. Let's stay, keep our attention on it and make sure that we're keeping up with all of the new trends that are coming. Because if we don't, it will become a problem. But there's nothing to panic about today. Yeah, it's been grounded. And that's what hopefully we're trying to highlight is to try and keep ourselves grounded. Because there's a lot of folks, unfortunately, in our industry and vendors that want to make a lot of money out of this. But equally, and there's a lot of scare tactics. So I think being grounded is kind of our perspective. And hopefully, we can provide this as part of this reality check. So if we go to the next slide, there's a few approaches to this. And I think one is kind of the immediate. So this is around the right hand side. If you are getting traffic hitting the site from GPT, it's a good logical thought to think that that traffic is going to be high intent traffic, because they've done quite a lot of research likely on GPT. to be hitting that page. So that PDP is where you need to be optimizing. And we've seen this even with Google PPC. I know that say, Tommy Hilfigan, Calvin Klein, I'm not too sure if they're on this today. But they talked at our previous customer event, but they start to see a massive increase in terms of the traffic hitting their PDP. And they spent a lot of time optimizing that PDP. So that being recommendations, that being the visual merchandising, element, we're visually similar to kind of continue that discovery journey. And then, as we all know, sophisticated merchandising, just generally, just to keep the customer on the site. So that's kind of the immediate is what you can do today. And that's kind of where I'm sure many of you are focusing and have been focusing, because it is pretty universal, a lot more folks are seeing direct traffic directly to PDP, just from Google PPC, very similar what we could say with GPT. The other side, though, is kind of getting ready. So sorry, if you go back one, you're jumping the boat, unless you're telling me I'm overrunning. The other side is kind of what Tom's talking about. The boat hasn't gone. But how do we ensure and how do we collectively look at trying to make sure that we're geo ready? So generative engine optimized, okay. So how do we help to make sure that we're ready for that? So for our catalogs, our products, our content is more discoverable by these engines going forward. So that's around product data. That's around capturing some of the long tail queries and attaching that to products, because those long tail queries are typically what are going to be used and searched for in GPT. So if you've got that connection with your products, even better for discoverability, and the actual structure and accessibility of your product information as well. So we're thinking about this, okay, and we're starting to build thoughts and ideas around how we can help you be CEO ready, in addition to doing what we're doing in addition to doing what we do today in terms of that PDP optimization. Now you can get to the next slide, Tom. So hopefully this has helped ease some of the hype. Okay. The point is, is you've not missed the boat. Just don't miss it. So I think now is the time to focus on that PDP, which you should be doing anyway. But also how do we start to build out an ability to be geo ready? Okay. I do think the conversational experience is a good stepping stone, because then you're starting to build that GPT kind of element within your own site. And that will kind of force some of the product data requirements that you need to be geo ready on these third parties. We are, it's been mentioned, we have launched this into beta, we are looking for customers. It might be on your roadmap for next year. I suggest you speak to your CSMs and start getting yourself added to that list on the beta, the conversational experience. It'll be a good grounding in many different ways. The product enrichment piece. Some of you should be aware, I'm hoping from the CSM team around our accelerator program. So this is our way to help make sure that you are data fit. And that's also where we can provide services to ensure you get there fast. So please go check out the accelerator program, because that's an ability to help you with that product enrichment, alongside some of the roadmap items we've spoken about items we've spoken about today in terms of general enrichment as part of our roadmap. Fundamentally, though, as we all start to see more commoditization, this brand narrative is going to become more important. Back to that vision statement. This is kind of where we're trying to fight commoditization. And this is where the brands that we represent you as customers, I think very passionately have unique experiences that we want to empower. That PDP optimization we've spoken enough of, and I'm sure you're more grounded in this area than we are in some respects because you're in some respects because you're in it every day. But if you haven't seen the advanced recommendations webinar we did about a month or two ago, please go check out the recording. We'll make sure it's in the follow up notes because that's a good spot to be talking about some of the things we've done with customers for PDP to help optimize and kind of keep customers on the site and hopefully convert them. But we are in this together. So we are looking at building a geo agent to help analyze, optimize, track your discoverability. We're looking to build this out over the coming year. We are looking for ideation. We are looking for feedback. We are looking for use cases. So please, if this is a topic for you, please reach out to us because we'd love to get a workshop to start to understand some of the use cases, some of the challenges, but also some of the opportunities as we start to think about this agent. Product Enrichment AI, that's been talked about again. Beta, beta, beta. Just reach out to us. We want you to be beta. We want to start rolling this out fast and we can only do it with you. Yeah. And same with GPT recommendations. So that was covered in the advanced recs webinar. We have this capability today underneath XO and trials are available for customers. So again, now's the time to start looking at building some of these beta capabilities, some of these trials in preparation for readiness for peak. Right, Tom, how do you feel? I didn't go on for too long, but hopefully that's good for you. No, it was perfect. No, that was good. Thank you very much. But on the brand narrative point, I can't agree more. I agree with all of this, obviously, but the narrative bit, it just seems to be coming more kind of condensed. So you used to have many pages where you could sell your story. On these third parties, the brand loyalty that maybe used to have everywhere, don't necessarily have while they're on that chat GPT or similar. So how can we titrate down the values that you represent if that's environmental, that you're green or you have the most cost effective items or the best quality or certain attributes that you want to present, making sure that that not only gets seen and prioritized by chat GPT or whoever, but also that that gets presented to the shopper. Because we've got to convince kind of two layers of things now. Chat GPT to include it and the shopper still to go ahead and buy it. So making sure that that is included is a huge part of what we'll be looking into. So kind of turning the brand loyalty into instant brand trust, because they're basically on a comparison website at that point. So how do we win that battle is a huge one. But yeah, everything on this slide is massive. So yeah, please do reach out, as Imran said. We now have one final poll. So there's lots of areas that we've spoken about today. And there's a few if I just hit launch, stop talking for a sec. These are the areas that we're actively working with customers on. So it won't necessarily be something that's coming out next week. Some of these will be relatively soon. If you want to be involved in MBPs, for example, on the conversational search, conversation experience, sorry. And then that's a very soon one. Some of these are a bit more in the in the research phase. So that will be clear by reading through. But please do tag any that you're interested in. It may be a quick call to make sure that we're understanding your requirements and building those into the project. Or as I say, if it mentions an MVP, then yeah, that means that you're interested in actually testing something with us. So yeah, please do give us a poke on those. But other than that, I'd just like to thank you all from myself, Yelena, Imran and Yan. And we will call it a day. I'll just let that run for 30 more seconds or so. But aside from that, thank you very much for your time. Thank you. Thank you. Thank you. And come again. See you soon, guys. Thank you.