AI Powered Personalisation

Transcript

Hello and welcome to the APAC Commerce webinar series. For those of you who are joining us for the first time, my name is Sophia Gray and I’m the lead Commerce Account Manager for ANZ. This series has been running since last year and it’s specially curated for our existing customers across the Asia-Pacific region with value realisation in mind. Today we’re going to be covering a topic that is crucial to the success of businesses in the digital era and that is AI-powered personalisation in commerce, something I’m sure you’ve all been hearing a lot about. The use of AI in commerce is really rapidly transforming the industry with generative AI, a recent advancement of this technological revolution. Just last week Adobe unveiled its latest generative AI technology, Adobe Firefly at Adobe Summit. This technology allows users to create amazing images from text showcasing the incredible potential of AI, but you’ll see images created with Firefly throughout the session today so look out for these. In fact you can see some on screen right now. At Adobe we have really been at the forefront of creating AI solutions for over a decade, recognising that delivering personalised experiences puts you, our customers, in a leading position within your industries. The recent APAC Digital Marketing Trends report from Adobe has also highlighted a growing gap between market leaders and laggards. In fact nine out of ten senior executives believe that customers are constantly resetting their expectations to match their best omnichannel experiences, so it’s never been more important to invest in personalisation so that you’re able to remain competitive and stand out in a crowded economy. We are fortunate today to have Jason Ford who leads our Commerce Solution Consulting for Adobe across APAC joining us today. He will be discussing Adobe Commerce’s Sensei powered personalisation capabilities, the future roadmap for Sensei and also the Adobe Experience Platform Connector which enables you to activate data across other Adobe solutions. This session is going to provide you valuable insights into the use of AI in Commerce and how it can help your business to stay ahead of the competition. Just before I hand over to Jason to kick things off, I’m going to just give you a quick note on housekeeping. As we go through the presentation and demo please do add any questions that you have into the chat and we will definitely leave time at the end for some Q&A. We will be answering some of those questions live and some throughout the session. Just a quick note if you’re having any issues with viewing the content then please drop from the call and just rejoin that should hopefully resolve the issue. We will also be having a few poll questions running throughout so do engage with these as we go through and with that Jason over to you. Thanks so much Sophia and welcome everyone and I’m glad to be here at another customer webinar. Thank you for having me. As we go through as Sophia said put questions in the chat pod. I’ve got a few of my team in there that will be responding as we go but we’ll always come back to Q&A at the end which would be a great time to ask any final questions that you guys have. Today’s session is about AI. It’s also about how AI can help with personalization in Commerce and AI is a massive topic at the moment so I’m sure there’s going to be a ton of questions about Adobe and AI and how we’re utilizing it across the entire Adobe product set and we’ll talk a little bit more about sensei is our term for kind of AI and what that means. But first I want to talk about sheep. One of my team actually had a really unique opportunity to go and speak to one of the largest sheep farmers in Australia and it was a really interesting opportunity where we’re going and talking to them about commerce and how to tailor that commerce experience and we actually learned some things about sheep while we’re there. Generally sheep are, you know, if you get called a sheep it means that you’re following the herd and you’re not individual, you’re just doing what everybody else does. But actually that’s false, right? Sheep actually have very unique individual personalities and have individual relationships with each other which is really interesting to think that actually this term of sheep, you know, they actually are individuals and we need to approach them as individuals and that’s something that we like to talk about when we’re doing personalization is talking about your customers as individuals and understanding their individual needs, their circumstances, their behaviors and things that have led led them to be interacting with your brand and and on your site. So we’ll jump into Adobe’s kind of view on personalization and AI and kind of the importance of personalization within the e-commerce space. So it used to be that personalization was kind of an optional extra, right? It was kind of like if you wanted to take your brand to the next level that’s where you need to invest. It’s now not the case, right? With the types of buyers that are coming into the market now, they’re expecting personalized experiences, they’re expecting brands to talk to them on their level and as we said earlier each person is individual, right? So we need to be able to to tailor that promotion, tailor that content, tailor that banner, everything to the individual and this goes across B2C and B2B, right? The B2B buyer has changed in mentality, they’ve moved away from wanting to have a sales rep conversation, they’ve moved towards wanting to do everything online and be able to quickly place orders, get the parts or get the products through and continue their business. It’s a very different world to what it was even just five years ago. Now this obviously leads to improvements in the kind of business revenue for the companies that do this well and we can see that kind of in this chart going from nothing to some basic personalization leads to different increases in revenue, conversion rate, average order value, all those things that boost the sales income of your business. But what’s really interesting is when we start to look at, as Sophia was saying in the intro, the difference between people that are just doing entry level or laggard kind of mentality towards personalization compared to those that are really leaning into it and driving personalization in everything that they do, the differences are incredible. You’ve got 10x difference in conversion depending on whether you are just doing basic personalization or whether you’re going full in and doing every stage personalized and that’s a really important note to think of when you’re looking at your own personalization strategy. Now when we break this down to these kind of personalization at scale and where you see yourself at, I think we’ve got a poll that’s going to go up and for you guys to to kind of just anonymously put yourself in and to say where you think you guys in terms of personalization. And just to help explain this a little bit more, what I want to do is just again using some nice AI imagery created by Firefly. In the far left we’ve got everybody in one bucket. So you might be doing some kind of geo personalization like languages and maybe currency and stuff like that but ultimately everybody’s getting that same experience compared to where we are in the middle where maybe more people are segmented into multiple segments but you’re kind of controlling each of those segments and you’re kind of prioritizing individual segments that drive revenue. Ultimately you’re kind of putting them into multiple buckets and you’re able to kind of scale up to a certain degree with those buckets. And then if we move all the way to the far right we’ve got cutting edge or bleeding edge personalization and ultimately this is where you are treating individual customers as individuals. You’re applying multiple segmentation approaches to these customers and you’re actually utilizing AI or some other technology to have a one-to-one or micro segment conversation with individual customers. So this is a really interesting progression. I can’t wait to see the the results from from the poll. When we jump into just specifically looking at Adobe Commerce. Adobe Commerce is at the forefront and this is something that you’ll see as we go throughout but is at the forefront of in-built personalization. We have things like customer segmentation built in, we have product recommendations built in, we have AI generated search results built in and ultimately this gives you the flexibility to implement these technologies and get ahead of the competition when it comes to personalization. And do this at scale across different markets and different brands and all sorts of things. Ultimately we’re driving higher revenue through Adobe Commerce than our competitors without the additional third-party services and extras that you would need to to get to be able to do this. When we’re looking at personalization in commerce it’s really easy to get started and it’s designed that way so that it’s it’s plug and play almost to get started. And we’re going to look at three areas of areas for personalization and quick wins ultimately for you and your business. Product recommendations we’ve already mentioned. Great way of introducing one-to-one kind of conversations with customers where based on their browsing history based on their purchase history we can actually start to make recommendations throughout the customer journey. Then we’ve got live search which has just recently had a major update and you might have seen that at Adobe Summit videos but that allows us to curate one of the most powerful resources at an e-commerce site’s disposal which is the the search engine. You know a third of customers use the search engine as their default way of finding products and those customers that use the search engine are about two times more likely to purchase and they’re more likely to purchase a higher average order value. So it’s really important that we get that right and we make that individualized to that end user and optimized for for the shopping experience. And then the last one that you see here is actually a new product a new service that we offer as part of Adobe Commerce. So all of these are included in your in your license fee and it’s the intelligent search and browse and what that is doing is bringing that live search and the AI functionality into the normal catalog browsing experience. So as you’re browsing through individual product categories they’ll be AI ranked so that you know you’re not having to go in and manually merchandise each of those individual categories. That’s something that’s coming up for release so you know keep an eye out for when that comes around and definitely you know give that a play. What you can do in the meantime is make use of product recommendations and live search and actually when you get to search and browse the data will already be in place to be able to instantly take advantage of that. So I’ve got a few slides here about exactly what live search is and what product recommendations is. With product recommendations this has been around for a couple of years now and we’ve done further iterations we’ve even got and as you can see on screen there we’ve got a visual similarity product recommendation so that actually uses AI imagery to analyze the images of the products and actually find visually similar type products so amazing for fashion retail and apparel and that’s just a built-in feature you can choose from the drop down if you want to use that. We’ve also got things like trending and high performing recommendations these are really good for those first landing pages and home pages that you might want to put on and then we’ve got the usual behavioral type recommendations so things like customers who bought this also bought this or customers who viewed this also bought this that you can just roll out throughout the entire site to great effect. Live search very simple to implement ultimately gives you incredible granular control over the facets that are displayed and how the products are are ranked you have boost technology in there as well so if there’s certain products that you want to boost up in the search results really simple admin to use and I’ll actually demonstrate this to you in a second so super simple to use and implement and takes your search results ultimately to a next level where customers can really find the product that they’re trying to as quickly and as easily as possible. The final one and this is the new one is the intelligent search and browse so being able to take some of those ranking algorithms that we’re talking about with product recommendations and live search and pull them into the standard category experience being able to have the same experience across all aspects of the shopping experience makes it even easier for customers to find what they’re looking for and what’s great is this is always up to date as you add new products into the site as you as products go out of stock all the ranking algorithms will automatically update to keep everything in check and in line with what you’re expecting. Now I’m gonna jump over to a demo environment and we’ll be able to show you a little bit of how easy this is to get set up so in this demo environment the first thing that I’m going to do is show you live search so with live search I can do type ahead searching so as I start typing it’s predicting the word that I’m trying to type so for example as I start typing yoga short it’s going to start predicting what I would actually be searching for and if I search for something like jacket for example and go to the search results you can see that the search results reflect what I was getting previewed but we’ve also got all of these facets on the left hand side now it’s not just the search results that the AI is optimizing it’s actually these facets on the left hand side that are being optimized as well so the priority order of these will change depending on the product search that’s being done so if I for example search for bag right we get catalog and price but now strap and handle is at the top instead of size and that’s basically the the AI realizing the type of product that we’re searching for and the attributes that are most effective for customers that are filtering afterwards so you can choose any of your product attributes to put into product recommendation into the live search and AI will automatically prioritize them in here now I mentioned categories and price are at the top and we’ve actually configured that in the admin so this is the admin area super simple you can come in you can see which search terms are being used how often they’re being used whether there’s any zero result searches so that might be a place that you might want to create new product ranges and things like that but when we come to facets we’ve pinned category and price so they’ll always be at the top as long as there is filterable options we’ve said always put these at the top and then we’ve left everything else up to dynamic facets and that’s where the AI can kind of take control and start making recommendations as to the order of these based on the the types of products that are being shown we have the usual synonym rules both one way and two way that you can implement and probably my favorite feature and the one that gets a lot of attention is the rules and what this allows you to do is come in and create rules for individual search criteria so if for example the search query contains the word yoga then what we want to do is use maybe a recommended for you type algorithm but what we can then do as well is add additional events like boost and bury so boost essentially doesn’t automatically pin something to the top we have an option for that which is pin a product where you can pin to a specific position what boost and bury do are they alter the ranking algorithm to squash an item further down the list or promote it higher up the list so it will still be refined using the AI algorithm but it will just be given that little bit of a boost so it appears higher up and this can be really good for new product launches so for example with luma we’re launching a new range of performance shorts what they could do is any search for the that contains the word short they might want to promote those products higher up in those search results so they’re they’re made available to customers and there’s all sorts of conditions that you can put in into place and you’ve got dates and times as well so you don’t have to remember to come and undo these at a later date now the other bit that i want to show you is how easy the product recommendations are to set up so if we come over to product recommendations i’m going to create a new product recommendation we can give this a name so customers also bought we can choose the page that we want this to go on so there are predefined areas of the site that you can just drop these into but we’ve also got this option of page builder and anybody that’s seen page builder anybody that uses page builder knows how powerful it is to be able to edit any page on the site you can add these into product pages into category pages into any of your landing pages and what this does is allows you to use these product recommendations anywhere on site now i’m going to just choose the cart page and we’re going to drop in a product recommendation maybe something like a an upsell opportunity or a cross-sell opportunity so we can come in here and we can see these algorithms that we can choose from so things like view this view that view this bought that and more like this and you can you get a gauge of how ready these are based on the exposure and based on the the data that’s required for these to perform well so as this is a demo environment it doesn’t get a lot of traffic but even with the limited traffic that we’ve got going into this demo environment we’re still at 90 so you guys are going to be no problem to get these um these active um and engaging with with customers so one of the most uh the the best performing ones are bought this bought that what that does is look at people who have purchased from the site previously look at what products they bought um together and looks at the current customers basket and says okay maybe there’s some similarities with maybe this customer would look to buy similarly to this other customer um so that’s a really effective one to put on the on the basket page and we can give this a name so it might be you might also like and that’s going to display to the customer we can choose how many products we want to show we can choose kind of where we want it to to be displayed and if you’ve got multiple product recommendations on a single page you can actually do a a positioning or a ranking um priority for them as well now one of my favorite features of this is again the kind of rule based or the the filters that you can apply because this gives you granular control over the the um algorithm as well so very simple one that i would always recommend let’s exclude out of stock products from these product recommendations you don’t want to recommend a product to customer the customer gets excited they go to it and then it’s out of stock it’s much easier just to come in quickly uh tick that as uh don’t show and then you’re good to go now all you need to do is click activate and this will start showing on the front end to customers and you’ll start getting um you’ll start getting results in here where you see the impressions and the click-throughs and how much actually revenue that this is driving now product recommendations alone has served over 13 and a half billion recommendations um so it gives us that scalability to be able to do this at a very granular scale and it’s essentially just plug and play um for you as a a store owner um for you to make use of this whether you’re using um a headed front end or a headless front end it’s it’s all straightforward to uh to implement and make use of perfect right now we’ve covered you know what’s in adobe commerce and adobe commerce is considered by you know all of the uh the gardeners and the the foresters of the world we’re considered the most flexible and most complete solution out there and you can see why the the out-of-the-box functionality without going after third parties and and things like that um our ability to to be flexible and um adapt to any situation not just one specific niche um really sets us apart from uh from other uh ecom companies but i think what our secret power is um is our ability to work with the uh the rest of the adobe stack to not only drive more value um but actually expand on the existing competencies of commerce so what i mean by that is if we overlay commerce onto that chart that we started with right at the start we’ve got sort of adobe commerce’s functionality really covers that that start to midpoint but when we start to look at micro segmentation you know where you’re you’re not wanting to be managing those segments individually um you’re wanting to do it on mass and you’re wanting to be able to get to to that kind of level that’s where we need to have um supplementary comp supplementary solutions and one of those supplementary solutions that i think um has a really good um really good connection and support with adobe commerce is adobe target so adobe commerce sits in the rest of the uh experience cloud and adobe target sits uh just in our customer journey segment or pillar and underpinning um all of these experience cloud is the experience platform and ultimately that’s what allows us to integrate all of these different services together with relative ease right it’s not like building it’s not like piecing two completely unconnected technologies together there’s there’s built-in connections between them so for those of you that haven’t seen adobe target before essentially adobe target sits in this real niche between personalization automation and experimentation and um my first exposure to adobe target was actually on the ab and multivariate testing uh capabilities that it offers and these are um the these deliver incredible results for commerce uh customers if you can imagine every stage of that customer journey being able to ab a multivariate test each of those individual stages and use the auto targeting and ai um ruling to basically say okay whichever one of those uh it’s whichever one of those tests is performing the best hey let’s start rooting more and more customers over to that test and without having to have a marketer interject you’re able to to control that and um the ai will just run with it and start making more more uh conversions and more revenue so it’s a great way of of testing out ideas and um theories that you have about the website without necessarily making big development changes but it also supports um advanced recommendations and segmentation so where you want to take those initial segments that you have inside of commerce and take them to the next level and where you want to be able to do more granular recommendations if you’ve got thousands and thousands of products and actually you want to start targeting micro targeting those uh those products to individuals um you can set those up inside of target and they actually supplement the adobe commerce recommendations it’s not a direct replacement you still have value inside of those uh adobe commerce recommendations so as an example of the ai power uh powered personalization available inside of target essentially you can use machine learning um to to drive these individual experiences so if this might be a you know a holiday or travel e-commerce site and actually you want to to start to change the personalization change the recommendations based on the individual that’s coming through the site um again we can do this based on campaign and further interactions beyond the segmentation that’s already in in adobe commerce and this gives you access to all of that when we add adobe target to uh commerce we’re extending the functionality of extending the functionality of commerce right we’re with allowing commerce to go further um through the support of adobe target and it’s giving you additional uh feature functionality to support the uh more micro segment uh micro segment personalization that you’re trying to achieve now when we want to take this even further um we might look at something like adobe real-time cdp um and what a cdp is is an individual customer um data platform and our adobe real-time cdp can access millions of events and interactions every second to uh to flesh out these really unique profiles of individual customers as they’re interacting with your brand not just online not just on your app but actually in store and um through third parties like um social channels and um even uh even sort of sms and and other um other sales channels that you might have it brings it all into one place and allows for decisioning to uh to happen within the platform and because of our tight integration with the two it essentially means that adobe commerce will automatically provide enriched customer profiling data to the real-time cdp real-time cdp will action that in real time as you might have guessed and then provide those audiences and those segmentations back into commerce and that allows us to modify that front end on a whole new granular scale on a per customer basis there’s even a decisioning engine built into a real-time cdp that can be used to um to decide on very advanced and um uh data-driven personalization personalized um sales and promotions and so it’s a really advanced piece of kit when you want to start looking at true one-to-one um personalization at scale and ultimately this works out the box with the commerce functionality that you know and love so dynamic blocks being able to just launch these to those segments that are automatically created in time inside the real-time cdb you know being able to create personalized promotions and cart price rules um to those individuals that and react within an instant of that customer exhibiting those behaviors or maybe even having an offline experience then taking them online to convert you know it’s a real powerful toolset when when you look at it that way and again when we come back to this uh this graph you’re looking at real-time cdp on that far right side but it’s extended the capabilities of target it’s extended the capabilities of adobe commerce and um you’re able to to kind of push each of these pieces bigger and and further than uh you otherwise would have now um i’ve got one last slide um and then we’re going to go to q a um and then we’ve got a couple of little bits after after the q a so definitely stick around um just to see those those couple of bits but this is what i want to leave you with is the um driving advanced personalization um through your business not just on the website but throughout the entire business drives incredible returns and going all the way back to what sophia said right at the start you know the difference between those that invest in personalization um to those that don’t will be worlds apart um when we when we get to um uh when we get to a few years down the road because um that gap is growing as we speak and we need to make sure that we’re driving forward and being at the forefront of that perfect i’m gonna put it over to q a and i think we’ve got another poll did we miss a poll through the other section i’m sorry if we did that’s all right jason i think we had a few issues with the polls all launching at the same time so don’t worry about those um but thank you so much that was brilliant and i think if that doesn’t inspire our audience to progress their personalization journey i don’t know what will one of the stats that really stuck with me was that you know 71 of consumers expect personalization that’s a huge majority and in fact it’s even bigger for beta b 73 percent of beta b and you would almost think it would be the other way around so um and it’s really great to see you know the tools that you already have in your toolkit today that you can activate you know straight after this call if you wanted to to start giving your customers that personalized experience it’s data driven it’s constantly learning and improving and getting better um so yeah really cool thank you thank you jason um so a lot of the questions have been answered um by your lovely team jason but um i might surface just just a few from there because i think there were some some really good ones coming through um there are a few questions around uh support for headless commerce and so does it does intelligent search and browse um you know work for headless commerce uh absolutely um so the really good thing about how we’ve approached these um these services is that we’ve built them to be api first so you actually have the apis available um as part of and in fact um there’s uh if you activate these in the admin there’s a graph ql um kind of engine experimenter thing that you can use to query those uh those services um from within the admin so uh they’re they’re built api first not api only and that’s a key difference um between some of our like our offerings and others is that you can use them in our luma theme or any themes that you’ve got um but you can also use them headlessly yeah brilliant and the next question around that was you know whether graph ql was available for product recommendation so yes absolutely that’s available already um there was a question from andy about um using in what way can ai boost sales and enhance ux for a b2b company that sells industrial consumables um you know in a situation where they would typically be using the website as a web ordering portal and i think this is a great question as we know it’s just as important if not more so important to you know personalize the experience for b2b customers and there were some suggestions already coming through around how you might use that you know the fact that the recommendations will reflect the customer specific pricing and the products that apply to them and you know as defined in their shared catalog and that you can also use the tools to boost or sort of promote specific products you know perhaps the ones that give you the highest margin any other thoughts on that jason i mean those are all really good recommendations i think the other thing to call out is that a lot of the b2b you uh companies that are using commerce their customers um have multiple users within their organizations and each of those individuals within the organization has a different project a different task a different role um and being able to talk to each of those individual customers within that organization as a whole customer is a really powerful thing you know being able to have the uh the site manager log in and see uh products that are recommended for his machinery or his uh items based on what he’s purchased in the past i mean that saves so much time on a job site saves so much time in an office environment where you know time is money and they want to just get on with it and and make that purchase but somebody else logging in from a different part of the organization might have a completely different set of products that they purchase from you um and being able to have those individual conversations ultimately between the customer and your brand is is really powerful yeah absolutely that’s such a great point um i hope that helps andy um we had a question from andrew around management of roles specifically things like boost and whether they can be based on conditions so as an example you know products in the new category are boosted or products within a category with a date that is you know less than a month old automatically boosted that kind of thing was it was it andrew that asked that question yeah did you say and andrew you you know this is something that i i myself have asked for um from the product team and it is something that’s being worked on as you can imagine boosting a an attribute let’s say of products is a little bit more complicated than boosting an individual product um but it is something that is on the road map and is being worked on um i don’t have unfortunately i don’t have any time frames for you but um it’s it’s a high priority it’s something that i’m constantly talking to the product team about um i i think it’s something that would really take this to the next level is being able to set those boosts on a uh you know on a certain category like a sale category you want to boost those products in um so really great question and please stay um stay up to date and and look for updates on it um there should be something coming soon great uh we had a question around whether the recommendations load asynchronously uh so yeah so they they do um in the uh so we’re not rendering them and delaying the page from loading um essentially what we’re doing is loading them into the page after the fact it’s a bit like how the uh the segmentation uh the dynamic blocks and segmentation works so they actually load in um through graph ql queries and into the front end um at least that’s how it works in luma you could potentially make use of the graph ql endpoints and do that like pre-rendering um but often it’s not there’s not a lot of benefit to doing that you you might want to just put them in um after the fact and a similar sort of question from a performance standpoint from boris um how’s the loading performance with these features how quick can the system generate the recommendations um that’s a another great question so the general response time for the the graph ql is within the within a couple of hundred milliseconds um obviously you know it can fluctuate and depending on the distances and things like that but it’s within a couple of a couple of hundred milliseconds for the graph ql response um you know again the the scale that we run this at because it’s not built into core it’s a separate service means that we can scale it um to the the need and it does that automatically without any input from yourselves so if you’ve got for example a home page and you suddenly get some influx of marketing or uh you know a huge amount of customers coming in for the first time it’s going to be able to respond to that um and actually if you want to um if you wanted to you could make use of our api mesh and add an additional graph ql caching layer in between that um so it really depends on your architecture but um product recs and and uh live search won’t be uh slowing down your slowing down your front end perfect we had a question about the release date for intelligent search and browse now we know that it’s currently in beta and we’ve got a group of customers participating in that and we’re looking at a q2 uh release date do we do we have a more specific release date on that or are we not sure yet uh unfortunately not these things can always shift by a few weeks um depending on you know how that beta testing goes um as far as i know we’ve got a um release candidate so like uh something that is as far as adobe is concerned is ready to go um but it’s the results of those that beta program is gonna say whether we need a second release candidate or anything like that um it but q2 is within the next few months um to be expected brilliant um we also had a few queries around sort of the what’s included in the current license and so just to clarify all of the sensei tools that we mentioned are part of your adobe commerce license you’ll have access to that now adobe target that does require a specific license a separate one as does cdp and some of the other tools that we mentioned i think that was covered off in the chat yeah from anna oh sorry go on sorry sophia i just wanted to kind of um highlight i what sensei is so um there’s something i should have covered during the presentation and i apologize for that but sensei is adobe’s ai machine learning platform so it’s it’s the platform that powers all of our ai um technology set and even things down to photoshop where there’s uh there’s there’s a button which will automatically remove the background from an image that’s all built into the adobe sensei platform so when we talk about sensei we’re talking about um that platform that’s powering all of these features and generally what you are getting access to is the end result of that feature so we’ve put in a lot of time with data scientists and um machine learning experts um who have curated these uh these kind of algorithms and these tool sets and these models that ultimately would take years to to produce otherwise and we then package that up nicely and make it available to you with some nice buttons in the in the admin so um generally that’s when any anytime you see live search powered by adobe um um anytime you see yeah sorry powered by adobe sensei you’re not actually getting access to the sensei platform underneath you’re getting the the productized version of that yeah sensei has had been around for a long time before we started you know leveraging it within commerce and the first use case of that was with product recommendations which has been around since 2020 i believe and we’re continuing to build that out as you can see from the roadmap um okay a couple couple more i think we’ve got time for a couple more so can the recommendations be sent in emails for example order confirmation confirmation that’s a great question it’s not a current functionality i know it’s been mentioned a couple of times um that being said if you wanted to create a service on top of it that would then produce that into uh into something that that’s synced into your digital or any other service then you could 100 do that um it’s not a native feature of product recs but it has been mentioned a few times great uh we’ve got a question from herman around b2b so most of the orders from our b2b website are bulk orders with the same skew and a huge quantity does that affect product recommendations such as best selling for example uh yes potentially um it depends on if the majority of those orders are those bulk orders if it is then it will just scale appropriately for your customer set um so you know if everybody’s ordering hundreds of items and that you know of of these lines then it kind of evens out um and actually the recommendations are still good um if you’ve got some customers that are like if maybe you’ve got one product that is ordered millions of times by by one customer that might start to skew the results um but you’ve still got the bought this bought that and the viewed this bought that type um algorithms that you can make use of and i really encourage you to experiment with those algorithms to see which ones work the best so um one thing that i’ve seen work incredibly well is put trending products on the home page for new customers and first-time visitors and then um swap that out to uh view this bought that for any returning customers and what that does is just exposes more of your products to uh to customers and that’s a really simple customer segment that you can create two really simple product recommendation algorithms that you can create great thanks jason i think that’s about all you have time for and i think we’ve managed to get through most of the questions apologies if we if we missed yours i’m happy to follow up please reach out to your um account rep if you have any follow-up questions and jason i think we’ve got a couple more couple more things to get through and then we’ll close it off yes we do um so for those of you that aren’t aware um i think linkedin it’s probably just you know our linkedin because we’re part of adobe but linkedin was pretty much red for the entire of last week uh when we had adobe summit on um there’s basically this is everyone coming together in in uh in vegas um and doing online and offline um presentations of all the latest and greatest things coming out of adobe there’s loads of product um examples loads of customer examples there’s literally hundreds of videos that have come out of this uh this event so if you weren’t lucky enough like us on the call to to actually be able to go um i’ve been spending a bit of time going through all of the on-demand um content from it if you scan that qr code it will probably ask you to log in um it’s a very simple login you know um to to get access but you’ve got then hundreds of videos and there’s about 50 plus commerce exclusive videos um these are some of the highlights that i’d really recommend if you if you have a chance to explore um obviously explore as many as you want but um you know a real key highlight was the nestle one where they’re using commerce in their internet of things strategy it’s incredible seeing the future of that um and the t-mobile use case where they’re using commerce and cdp incredible um incredible customer example um so really recommend going and watching that there’s some sneaks as well so it’s things that we might be looking at releasing in the future that are all geared around commerce experience as well um and the last thing that i will leave you with is a probably a video with no sound knowing our luck um that is project sunrise and this is commerce combined with the uh ar and 3d software that adobe produces um to create essentially mass create your product photography with photo realistic imagery from 3d models um so incredibly powerful stuff um we’ll leave it as the video to play there’s a qr code you can scan it and you can go and read a little bit more but um anything else sophia before i queue up the soundless video just wanted to say thanks everyone for joining we hope you’ve enjoyed the content today and do check out those sneaks in particular project fast filtered and project um colors there’s something about colors as well that they’re brilliant ones to check out they’re about commerce use cases so do have a look at those let’s roll the video definitely thanks everyone want to engage more customers on your online store looking to give them a more immersive more interactive experience that keeps them coming back for well more with adobe’s project sunrise you can sunrise is a 3d solution for e-commerce that empowers creative and marketing professionals to collaborate on publish and showcase products in 2d 3d and even ar all with one platform using a combination of sunrise asset management sunrise automation services and sunrise projects your team will be able to generate high quality multi-angle 2d product imagery variations at scale and automatically create output and embed optimized 3d assets for web and ar sunrise connects to popular e-commerce platforms and works alongside the substance 3d collection of apps and sunrise and sunrise has been designed so that anything you create can easily be brought to adobe experience cloud ensuring that you and your customers always have the best possible experience more immersive interactive 3d product browsing engage delighted customers increase sales reduced returns and a healthier bottom line isn’t it time you transformed your e-commerce experience with project sunrise