So hi, everyone. Happy to be with you today. I will run you through kind of a very simple, customer journey where an end user is actually using a support portal trying to to to answer question and self serve all the way to could not find a solution and have to contact an agent. That agent will be using Genesys, and I will show you how to cover open power to Genesys experience as well. So on the screen here, what you see, this is one of our demo instance. It's called Barca. Barca is a fake boating company. You know, they sell, GPS, surfboard, that kind of thing, everything relating to water sport. So as a customer of Barca, I just, you know, purchased a new application. So I want to, you know, can I download new maps so I can better navigate during my summer trip? Everything that you see on that screen is built on top of Coveo visual library. So, really, this is a fully powered by Coveo, search interface, support interface where, actually, we deliver self-service. So as a customer, may I'm trying to, you know, how to download the map. So let me ask how to download map for my for my software. The name is Skipper. So it's my trip planner, software. Auto download map. First thing, you know, again, every search bar powered by Coveo, they come with type ahead query suggestions. All of that is it's delivered with machine learning, that that would be in building at Coveo for, like, pretty much fifteen years now. So let me enter the query how to download map or skipper. We end up onto that very rich, answer page support pages where as a customer, I can actually, you know, look through the different documentation or kind of, you know, information that comes from many different sources that my company might have into its ecosystem rather be video, knowledge based article, discussion post, etcetera. All of those document are within the Coveo index, and they are all accessible at the same time through the same interface. On top of it, every filters and, you know, feature that allows you to slice and dice, you know, the current search results. So for instance, if I look on the or discussion or documentation, I can just filter down the answer. But what you see, in the screen here, it's our new generative answering model, and this is core to the the the old solution here and that they will even expand to Genesys. Basically, we are, delivering that kind of answer based on your own internal secured content. So pretty much that answer here has been generated with your own in house documentation. So it's truly ground into factual knowledge, so we minimize, etcetera. So this is kind of the way we will be supporting, self-service, customer when they're trying to self serve. But let's go all the way to Genesys. Let's say that I download a map. It works. I follow those step by step. Let me open my my software, Barca Skipper. So this is where I would like to download the map, etcetera. So I'm trying to to to to to do that. And let's say that I end up with another issue. Bottom right corner, yeah, the this is another Kavio interface called the end product experience. But, again, we are, you know, making sure that the the the user can actually, self serve as much as possible. But just let's fast forward a little bit. For whatever reason, the customer could not find a solution, it needs to contact an agent. So what we've done when we're clicking on chat with us is this is the Genesys web, web messenger interface that we kind of integrated. And it it's really it's it's just to get a a conversation going so we can, you know, have an agent interaction. So let's say that type type in, I need help please, and I hit enter. So, automatically, I'm gonna be transferred to the Genesys Cloud platform. It's ringing here. I answered a call. And, again, that could be done through a an over the phone discussion or with chat just like that. So now I'm playing both role, the end user, and the service agent. Top right corner here in the Genesys console, you have access to the Coveo for Genesys help interface. In that case, everything will stay within the Genesys interfaces. So, again, when we're talking about reducing every general time, making sure that the service agent are as much informed as possible, that they do not have to switch context, so we are delivering all the knowledge the agent needs right within, the the Genesys, interface so it can actually, you know, sell serve the customer as easily as possible. So let's say that can I help you? And, basically, let's imagine that the customer is having a never go twenty two messages. So, again, a service agent, you know, they they might not be fully trained. They might not know everything that has to do with a specific issue. So let's say that I have a r code twenty two. Let's ask Coveo for an answer regarding that. So in that case, we will be using exactly the same machinery model, but it will be using only agent accessible kind of knowledge. For in that case so if I'm, I it's the first time I I know, I heard about the network code twenty two LR. I might not be, you know, fully up to speed with how to fix that. So, basically, the service agent can ask the Coveo interface. Look if there is a step by step to fix that kind of issue. If there is documentation, it should be reading, etcetera. So I could log to that document, but the point being that, like, as a service agent, I can either find a solution as quickly as possible, look at other kind of documentation. And if that answer makes sense, rather, like, it could be over the phone or, like, just by typing it, I can just copy and paste that answer right into the conversation with my customer. And as you see, this is a way to quickly financer, a way to quickly solve a case or or or solve a situation with that with a customer. That interface that you are seeing in the on the right hand side actually support all of the Coveo feature such as, you know, content filtering, tab, so you can pretty much create different tab or different kind of stores of content, etcetera. And all of those things, you even have, like, you know, copy to chat and copy to clipboard. So let's say I would like my customer to actually look at this documentation here. I can quickly paste the link right within the chat. And as simple as that, by making sure that the service agent have access to external content securely or whatever source it could be right within Genesys, this is something that just, like, shave a little bit of average angle type. So let's say that I'm fully done. The customer is happy, and then I can build a conversation. So this is from a functional perspective, from an agent perspective, but what about the administrator, the service center administrator that actually managed the solution? So that whole interface and maybe I should just start another one just to to to show it properly. But, basically let me just bring that up again. There we go. So that interface here that you saw on the right hand side is fully created and configured through the Coveo administrator admin platform. So right within Coveo, as you saw on my screen here, you create an inside panel. That inside panel is readily available here. So the Genesys one and you can just click edit interface. And that interface that you see here is exactly the same one here. So pretty much from an admin perspective, you do not have to open Genesys and make any source code modification. Everything is managed within the Coveo platform. So you can easily configure that inside panel to actually link to specific source of content where your your documentation resides and, you know, make all the ranking and boosting rules and, you know, filtering rules that you need to make sure that your service agent has the latest and greatest documentation. You know, you can enable machine learning. You can add filtering option, etcetera, etcetera. You can add, you know, every, result action and feature needed to, you know, configure that interface as much as needed. Then to take action, every interface that are powered by Coveo actually are tracking usage analytics, which mean that we are providing, right, within the Coveo platform all the reporting tools that that the Genesys admin can use on top of these other reporting, feature to actually make sure that, like, everything that happened within the Coveo Power interface, you know, the metrics are looking good, What kind of documentation are being looked at, etcetera, etcetera. So we are offering a pretty, a pretty wide, pretty complete reporting platform where you can build the kind of dashboard that you need. You can, you know, slice and dice by agent, by session, etcetera. So really to provide this the the agent administrator, director, you know, all the tools and the visibility it needs on the performance. Is the documentation being well used? Does your their their their agent are finding what they are looking for, etcetera. So, really, this is just a small subset of the Coveo, capabilities. But for Genesys, it will kind of fill a a requirement gap in terms of, like, bringing external content as easily as possible within the Genesys, ecosystem. Finally, our application is available onto the Genesys app foundry. Our integration is has been fully reviewed by and approved by Genesys. So pretty much you can go there, contact us, and you can get access to that package seamlessly. And then you install it inside your Genesys platform. You link it to your Coveo platform. There you go. As simple as that, you have Coveo for Genesys.
Coveo pour Genesys CX Cloud : Recherche AI et réponse générative
Découvrez comment l'intégration de l'IA de Coveo avec Genesys CX Cloud transforme le soutien à la clientèle en optimisant le libre-service, en améliorant l'efficacité des agents et en rationalisant la gestion des connaissances.
Regardez cette courte démonstration pour en savoir plus :
- La recherche par IA et la réponse générative qui fournissent des réponses instantanées et pertinentes aux clients.
- Des recommandations de connaissances intelligentes qui réduisent les efforts des agents et le temps de résolution.
- Intégration transparente de Genesys sans modification du code source.
- Déviation et automatisation des cas basées sur l'IA pour minimiser les coûts de support.
- Des analyses et des rapports exploitables pour améliorer en permanence le service à la clientèle.

















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