Hello, everyone, and thanks for joining our webinar today on Coveo AI Power Search for b to b e commerce. So my name is Andrea Polynioli, and I work in the e commerce product marketing team here at Kovell. And I'm joined today by my colleague, Sean Pollock, who is an enterprise e commerce sales engineer. So we do have a few house keeping items to cover before we get started. So first, everyone is on listen only mode. So however, we do want to hear from you during the presentation. So we'll be answering questions, at the end of the sessions. So please feel free to send us along using the Q and A section on your screen. Also, today's webinar is being recorded and you'll receive the presentation within twenty four hours of the conclusion of the event. So let's get started. So, before I hand it over and leave you in the very capable hands of Sean, I wanted to share a few thoughts on why we are here today and why Coveo can really be a critical element in your b to b e commerce strategy. I'm pretty sure every one of you has heard this before and probably many times. But expectations have really, really changed over the past few years and this applies to both b to c and b to b e commerce. Actually, b to b buyers are consumers first and foremost, and they really love comparing their experiences on their b to b websites against the experiences they get on their favorite b to c website. But focusing specifically on b to b we know that the pandemic really acted as an accelerator for digital transformation. So as you can see here, research from Boston consulting group showed that sixty percent of leading b to b companies had either no or very limited ecommerce capabilities at the start of the pandemic. However, things have changed, and they actually had to change. Since buyers have been increasingly using online channels. In fact, there is research from a center, that predicts that twenty percent of all industrial purchases will take place online by twenty twenty five. But offering and supporting online channels isn't enough. Research from a center shows that, fifteen percent of b to b buyers actually switch vendors due to poor website functionality. And since ninety two percent of b to b purchases actually start with search, It's pretty clear that getting search relevance right is really important. In b to b search actually happens to be a critical touch point. And in fact, quite often, visitors who search are exhibiting a very clear intent to buy. So data shows that companies that use advanced search capabilities tend to have two times higher conversion rates. And this is why Coveo can really help. Coveo can really be an important accelerator in b to b digital transformation project. And for those of you who are not really familiar with Cavell, Cavell is a cloud based AI platform that powers most of the experiences that buyers will interact with on your site from search, navigation, from listing pages to recommendation. And Sean is going to show the actual capabilities in a minute. But before we do that, I just wanted to mention that findability might sound easy to get right, but it's actually quite hard in B2B. You have sometimes millions of skews, hundreds of attributes, plenty of relevant content such as technical guides. And Coveo can really help improve the findability of items in a number of ways. For example, you know, you got elements such as predict active and type of tolerant queries suggestions, which remove some of the friction and really help improve the findability. But also respecting, you know, the specific pricing and catalog entitlements is key in B2B. Bayer should see only prices and products that they are entitled to see. And we also power at Cavell recommendations like buy again that streamline and facilitate the reordering process. And we can also surface products as well as non product content. And, you know, we can help you find safety data sheets, for example, videos or technical guides. And all the events get collected at Camille so we can really show real attribution in terms of how we impact average order value and revenue per visit. And with that in mind, I'll now hand it over to you, Sean. Alright. Thank you very much. I will just share my screen here. We're gonna cover couple of, customer use cases, that are, are live Coveo sites, so not not a demo environment. This is, this is real, and we'll go across a number of use cases when it comes to b to b. The first one being the, you know, Dow Chemical site. Now Dow Chemical came to us as a b to b customer because they have a lot of, very technical products. And we're gonna we're gonna touch on some of the the technical components of the products themselves, but also the complimentary content that they wanted to enable just, customers to search on. The second use case is, the complexities of the B2B catalogs that, that Coveo can handle. Where we are using, local inventory, product entitlements, searching within my own pricing model or price book. And then also the personalization will move into the third, aspect of the demo to show how we can start to personalize on the fly within a, a particular instance based on that, that cold start personalization that you may need for buyers, in b to b. So we'll start with Dow Chemical. And, again, what they came to us with is a number of sources of content. They had their their their b to b catalogs, which were very technical in nature. They wanted to enable search for their products. They wanted product comparisons as well, but, because of the nature of the products, they had a lot of documentation. Material safety data sheets, FAQs, the, the applications library in terms of what products are used for for what And they wanted to turn this into a one stop shop where people had access to all of that information right within their website. Now as you can imagine with B2B, there are a lot of B2B sites within logins. So the Dow Chemical site allows me to go up to a certain point, we'll talk to the logged in user on our second, our, our second demo instance here. So with Cobello, we are powering things like the search box, obviously, and and also the search results page for recommendations, but what Coveo is is a unified index. And the importance of that is that I don't have to have and manage multiple indexes of different content that I have to, maintain disaster recovery or the added administration. As we ingest the content, whether it's a product catalog or a document repository or a CRM we bring all of that content into Coveo, and you're working with one single index across all of your different channels. So that ongoing maintenance of of all of those different sources are greatly reduced because you're not having to handle all of those different indexes. With Cobail, we do have a framework. So the framework is really platform agnostic in terms of, the CMS we can reside on, the the e commerce platforms that we're that we work with. And, along that, it also, that framework gives you access to the Coveo Machine Learning models and and all those powerful analytics. In this case, you know, doing a quick search with, with Coveo allows me to have our first machine learning model where I can start to type and you can see Coveo is providing suggestions on, queries. And in in this case, I can start typing some fairly complex terms. As I mentioned earlier, Dow is a is very technical in terms of the product, or this is memories of of high school organic chemistry for me. But I in this case, you can also put in a a lot of spelling errors. And Coveo does those corrections and synonyms and and automatic did you mean, in, in an automated fashion? I don't have to manage a large dictionary of common misspellings or synonyms or thesauruses. This is something that Coveo does out of the box based on your, based on your content. So if I'm, you know, doing a search for for for a certain type of product, you can see Coobello's machine learning models starting to provide not just what's in the index, but these are successful searches based on what other people have searched for. Meaning we're giving the successful query suggestions here, that have led to a successful outcome. And, as I do a, a quick search on that, Coveo is going to come up with a unified result. In this case, we do have, all all content showing. And, we also can start to go into browse the certain applications library. And these, again, are PDF documents their content on the websites. They're, there are a lot of different sources that we're bringing in as a, as a unified result. Same with all of the data. As we're going through and and viewing the facets that you see here, Coveo has built a relationship between those those disparate sources so that it's something that's easy to navigate down to. As I mentioned, I was looking for adhesives and sealants. And I'm, going in and starting to to scroll down through a hierarchical structure of facets that Coveo has built a relationship from the product catalog but also with, the specific documents that you have. And if I wanna browse browse just the products, this gives me the ability to to see all of those different sealants with with Dow Chemical. So everything all within, a certain within the one unified index and being able to have that one stop shop for searching for product and content. You'll notice that all of the facets have changed as well. This is something that, Coveo has what we call dynamic navigation. So the machine learning models can choose which facets are the most valid based on my searches based on where I've been clicking and a lot more which which facets are the most useful in the results. Meaning, Coveo can choose which order these facets appear. Something that's also very good for for mobile browsers, when you have that valuable real estate, you wanna have those facets right up at the top. When it comes to b to b, Dow does have a login here. So as a logged in user, I can start to favor, favorite the products. The advantage that you have is that with Kobeyo, we can use that as context. So when we go to log in on the site a little bit later on and we know those favorites, Coveo is able to suggest other complimentary product to the customer, but it's also used so that we can quickly reorder our product and, and, and, submit that order along with, with our other favorites. Now product comparison was something that was important with Dow. So I can go in and start to compare those different sealants again, pulling from the Coveo catalog by just hitting, the comparison. And this was something where we can quickly go in and and compare the the different product attributes. And this is great for those technical items, but also great in retail, so that we can we can compare all of those standardized fields that we're searching on and those product attributes that we're searching on, but have it in a nice design graphs so that I can quickly print out the one that I want to have, select a sample or, or purchase it right, right from those results. Now at the same time, this is something where as we're searching for product, as I mentioned, Dow also wanted to give the ability to customers to go in and search for for the support content. So So if I want to go in and, and search for recommended, bead size for, an item I can go in and and view across all of the content, the products, or or the support. And, you'll notice here that this is, although a PDF, I'm able to quickly search from within that PDF, and I can see what the recommended bead size. So DOW was a very PDF, heavy source, and they have thousands of, PDF documents. So this allowed us to be able to or allowed them to be able to search within that content for those b to b customers and bring it up alongside the the product. So we'll quickly move to, another b to b example and not being fleet pride. So fleet pride is, is an interesting use case because they have three hundred locations where if you are a, a maintenance facility that, that, maintains fleet vehicles that you're able to go in and and purchase consumables so that you can do work on those specific vehicles, but they have four hundred and fifty thousand SKUs. And they also had local inventory that they needed to search on, within logged in customers and that local inventory their goal was to allow their customers to quickly find not just the correct part, but the product fitment for those parts. And find what they've ordered within the past. So, you know, especially when you have consumables, you wanna quickly find what you've, what you purchased in the past. So Coveo works alongside the CRM and, gives you that ability to look at more of the user context in terms of their past purchases in terms of their past, their past searches. And I'm not even logged in yet, but we're starting to see personalization happen as we just quickly land on the page. As you'll notice here, on an incognito window that I'm seeing popular searches, but compared to the one on the left, I have different popular searches because it's more based on my context. You'll also see the recently viewed items here. And then we go down to featured products and side by side, we're seeing different featured products because Coveo recognizes that I've been to the site before it knows my past sessions and it's starting to feature those items based on my past sessions. So a lot more contextual, even for me as a user that is, that isn't even logged in yet. Now with Coveo, you know, this is something that was very important for them to, not just do searches for certain categories, especially when you have four hundred and fifty thousand SKUs, they had over four thousand facets within their their catalog. And they wanted to enable search on that. So doing a quick search on an oil filter, as an example, you'll see Coobello's query query suggestions starting to come up with the suggested products with my context in mind, but also starting to suggest based within certain categories and provide category suggestions so that I can, I can quickly go into oil filters and then browse, directly into that category selected? Within the results, Coveo is giving us a number of of easy to click on, suggestions for subcategories at the same time. Now with Coveo, again, we've got that hierarchical way of allowing customers to navigate and browse through, the different categories of, of product especially with B2B. You can have a lot of different tech categories, a lot of technical categories. But with, with fleet pride, the big main goal was was product fitment. It's very important because fitment is is costly when, it it goes incorrect. So in this case, I can, use Coveo to enter in a VIN number, and that will resolve down to, the specific make model year and engine type of that particular model and vehicle. And now we're starting to see our Coveo tagging popping up. So you can see a universal fit versus a specific oil filter, which fits my vehicle. And this gives me a, you know, this really reduces the time on the site, and it gives me that confidence to be able to go in and allow a customer to use, or to order that content and even working with the CRM, I can add this vehicle to my fleet of vehicles. And then I can quickly go in and and, and, and search within that vehicle type and when I return. I'll just, log in to to the site and we can start to see the differences that that occur, once we do have that user context, And and it's not letting me log in right now. So I've got another, example of that in a second. So when we do log in, this is something where I'm able to go in and and search within my particular product and product entitlement. So when we are searching, I'm able to get my prices my product that belongs to me. And, and we don't have to worry about having that, that b to b catalog where you're ordering parts that you shouldn't have access to. The catalog complexity of Coveo is is something that really shines with working with B2B, because we do have a number of global customers. Those global customers are doing, searches within worldwide content across multiple languages and multiple countries and they have literally thousands of different entitlements and, and, price variants that Coveo can enable people to search within their particular product. Just to give you an example of how we do, some some of that in session personalization, if I'm searching, across this boat building site, I can start to see, and navigate down through a specific categories of GPSs. And within those GPSs, I can click down into the handheld and portable device section. I'll just quickly go into the detail page, and you can see how Coveo is actually highlighting with our banners and badges saying this item was viewed thirteen times today. It's also a best selling product. These are more, commerce activity driven badges that Coveo can put onto the site. They're very dynamic. They start to drive, you know, drive sales across these different types of banners, and you can set thresholds and banner types within the administration console. You'll also notice that we're seeing some of the people also bought. So complimentary product that Coveo is recommending, that goes along with this part. What other people are browsing for within that category such as handheld GPS's and also recommended blog posts that are centric to those GPS's. So I can quickly add this item to a cart, and we're starting to give Coveo more context. And and going in with, with the context of the item I can start to do a search for radio. And, as I do, radios, Coveo knows that we've been looking at handheld GPSs and we've been in that category of of handheld. Coveo is actually suggesting not regular radios but handheld radio is because of what's in my my, my cart. And that's the the product vectorization of how Cobello is is building that association between different categories of product, but there's still those similarities of some, some categories that link other products together. So handheld GPS with handheld radios. If I go into an incognito window here and do a search for radio, you can see we're getting the larger, console radios. So again, that quick personalization, when you have buyers, that are coming in and searching for different, different sections of your catalog. Coveo can start to quickly make that pivot. To not just find from where you're browsing, but what you've purchased in the past so that it's quickly showing up on those, those search results. B2B search is also very important when it comes to searching for specific SKUs. We haven't had a lot of time we've, to talk about this for the webinar, but we do have, that ability for, product cross referencing. You saw the fitment on fleet pride, the, heart procedure is something where you can enable your customers to look within those part numbers right from the search box instead of having dedicated cross reference tools that have to do data lookups. And this is still an automatic conversion over, within the search results while the customer is seeing their entitlements in their price book. So I'll leave it at that in terms of, know, just a a really fast overview, of of what we've seen with, with Dow where we had a very technical content. Product suggestions, spelling suggestions, and as well as non product content all within a a single B2B environment. With fleet pride and, you know, very complex catalog where it was local inventory, product entitlement searching within their own price book, as well as cross referencing and procedure. And also, the the barca site where, you know, we're getting personalization as you go, along with recommendations within product detail pages so that we can start to drive more of those average order values up. At this point, at, twenty five minutes after hour, I'll hand it over to Andrea just for, the conclusions. Well, thank you, Sean. That was extremely helpful and have to say. I really love that in section personalized experience in b to b, but before we do head into the Q and A, section of, the webinar. I wanted to mention as a as a note, since this is a question that typically comes in that CovalE is platform agnostic. So we have integrations, you know, some, e commerce platforms, you know, with Salesforce and SAP, that makes really the implementation quite seamless, but, we have APIs and, you know, headless controllers available. So you can embed it in any side. So, really, the critical point here is that, you know, the whole platform, the Coveo platform is available through APIs as well as embedded, mobile and other experiences. So I just wanted to highlight that And I can see that we do have a question shown. So one question about, you know, merchandising capabilities. So you know, the question is about what merchandising capability Coveo offers. Yeah. And that's that's something we didn't have time to cover on the public webinar, but, obviously, in the back end, you do have absolute control over the product, how it's displayed, who it's displayed for, and, and, you know, the specific behavior you may want to create for certain sessions. So Coveo does have a a full, merchandising panel. You can have merchants go in and build rules on a in a in a in a visual UI and, you know, set the conditions as to when those fire in terms of a date range or a customer type or even click stream. Well, thank you so much for the answer. And I I do realize that, you know, it's it is about time to wrap up So if you did post a question and you didn't receive an answer, you'll get back, it will get back to you with an answer. But I also wanted to take an opportunity before, you know, we say goodbye to, to really invite you to tune in next Wednesday, the fourteenth of December, as there will be, a very interesting webinar sponsored by Coveo, and and really feature and and featuring our general manager of e commerce, Brian Mcglin. So the question that will be discussed, next Wednesday is whether customer loyalty is dead in b to b. So a very exciting debate, plenty of practitioners and thought leaders that are going to share their views. And, of course, if you're watching, you know, a recording of today's webinar. I am also pleased to let you know that the master B2B webinar that you can see here will also be available on demand. So, I want to find you, Sean, and I want to thank everyone for joining our webinar today. It was a great pleasure, and I hope to see everyone soon.