Ep 239: How AI Is Changing The E-commerce Landscape

Revolutionizing E-commerce: The Promising Intersection of AI and Online Retail

The future of ecommerce is laced with the promising application of Artificial Intelligence (AI). With predictive algorithms and data analysis, AI offers unmatched capability to tailor and customize consumer experiences. Moreover, the integration of AI in ecommerce is shifting the decision-making paradigm. Today, AI-driven chatbots can provide suggestions based on individual consumer input, offering a personalized shopping experience.

Enhancing Business Operations through GenAI Technologies

GenAI technologies promise breakthroughs for companies across sectors. For instance, multi-billion dollar technology facilities are integrating these technologies to enhance their complex system solutions. A particular focus lies in the aggregation and organization of both structured and unstructured data to provide real-time access to teams working on the front lines, creating massive efficiencies and entirely new developments in the business landscape.

The AI-powered E-commerce Toolkit

Artificial Intelligence is not merely transforming the consumer experience; it also equips e-commerce sellers with advanced tools for business enhancement. From crafting written content for websites, emails and social media to instigating product development using data insights, AI is a convenient automation resource for online businesses.

Understanding Customer Persona and Targeting Content

With the integration of AI, e-commerce can be democratized - leveling the playing field by enabling sellers to understand their customers better. However, there could be downsides. With AI-driven ease and accessibility, individuals with little background or experience in online retail could flood the market, potentially triggering a counter-response from established e-commerce companies.

AI's Impact on the Overall Customer Journey

The AI-driven personalization significantly impacts the customer journey in e-commerce. Large platforms like Amazon have initiated the practice of integrating AI into different stages of consumer interaction, offering a seamless e-commerce experience.

The Ubiquity of ChatGPT

ChatGPT, a tool known for its broad capabilities, enables e-commerce owners to automate simple tasks effectively. With tools like ChatGPT and Zapier integrations, machine learning is used to simplify and enhance process management in e-commerce.

The Consumer Behavior Shift

AI is redefining how consumers shop online. With tech giants like Amazon and Google pioneering AI-powered e-commerce, consumers' purchasing behavior is undergoing a significant evolution.

While AI facilitates convenience and customization, it is essential to preserve the human touch in online transactions. Businesses need to balance AI-generated content with human interaction to retain customer trust and loyalty.

Future of Online Shopping

With AI integration escalating, the future of online shopping could see increased interaction with AI-powered chatbots and shopping aides. With this shift, we might witness the sunset of keyword-driven search, paving the way for a more intuitive, AI-mediated e-commerce experience.

In conclusion, the merger of AI and e-commerce holds enormous potential for both businesses and consumers. As companies move to leverage this advantage, the e-commerce landscape is evolving at an unprecedented pace, promising exciting opportunities in the near future.

Topics Covered in This Episode

1. Current State of AI in E-commerce
2. Democratization of E-commerce
3. Behavioral changes of customers due to AI
4. Importance of Customer Persona in AI
5. Future Predictions of AI in E-commerce


Podcast Transcript

Jordan Wilson [00:00:17]:
How is AI going to change the way that we all shop online? It's something it might impact you a lot more than you think. You know, you might say, oh, okay. Well, you know, I don't own an ecommerce shop or, you know, I, you know, just shop, you know, online here and there. Well, whether you know it or not, generative AI is going to completely change how we all shop online, how we all interact, with with the Internet, how we all interact with the products that we all love. Alright. So we're gonna talk about that today and more on everyday AI. Thanks for joining us. My name is Jordan Wilson, and I'm your host.

Jordan Wilson [00:00:59]:
And everyday AI is for you. We're a daily livestream, podcast, and free daily newsletter helping all of us, not just learn generative AI, but how we can all actually leverage it to grow our companies and to grow our careers. So if you're listening on the podcast, thank you as always. If you're joining us on the livestream, yeah, I might have a little camera problem today. No worries. We're still gonna be bringing you, the value that we always do. So let's go ahead and remind you to go to your everydayai.com if you haven't already and sign up for the free daily newsletter. I tell people it is like a free generative AI university.

Jordan Wilson [00:01:35]:
We have 2 almost 230 back episodes now. No matter what you wanna, learn about, whether it's sales, marketing, entrepreneurship, ecommerce. We we have dozens of of experts in each of these fields, so, make sure you go and do that. But before we do, let's talk about the AI news today. Alright. So there is a new Grok model. So Grok, the AI chatbot from Elon Musk's x platform, formerly called Twitter. Anyways, Grok is releasing a new version.

Jordan Wilson [00:02:08]:
So, Grok 1.5 is, testing right now much higher than the original GROC 1.0 chatbot, and it's benchmarking closer to Mistral's models, but still much further below Gemini, GPT 4, Claude, etcetera. So, GRAC 1.5 will reportedly be available next week and can only be used inside of the Twitter platform. And I said this in my 2024 predictions, but Grok really might not be worth paying attention to. But we'll see when it's, you know, announced next week or released next week. Alright. Our next piece of news, pretty, relevant to today's topic, at least the parent company, but Amazon is investing 1,000,000,000 more into anthropic. So Amazon is making its largest outside investment in its 3 decade history, investing $2,750,000,000 more into AI startup Anthropic. So this represents their 2nd batch of funding with their previous $1,250,000,000 investment made in September, bringing up their total investment into anthropic to $4,000,000,000 So this investment is anthropic's or this investment shows that Amazon's continued interest in the rapidly growing field of Gen AI, which has seen a record $30,000,000,000 invested across more than 700 deals in 2023.

Jordan Wilson [00:03:33]:
So Infropic's newest suite of AI models, Quad 3, has outperformed OpenAI and Google on industry benchmark tests, solidifying its position as a leader in the field. Alright. Last but not least for our AI news, the White House has released new guidelines on how the government can use AI. So the Biden administration here in the US has issued new guidance on how government agencies can use artificial intelligence with the goal of ensuring safe and responsible use of the AI technology. So this includes appointing a chief AI officer, growing the workforce in AI, and requiring agencies to implement safeguards by December 1st. The guidance requires agencies to also appoint a chief AI officer. Yeah. That's a thing.

Jordan Wilson [00:04:17]:
And to grow the workforce in the field. And if the safeguards, aren't in place by December 1, all of these agencies must stop using it. However, right now, there are obviously still questions about the specifics of safeguarding, of the safeguarding process and who even has the expertise to approve the AI technology for use. Alright. So there's a lot more news and a lot of other things you're probably gonna wanna pay attention to in the world of generative AI on our newsletter. So make sure that you go to your everydayai.com. Sign up for that free newsletter for more AI news. But you didn't come in here to talk about AI news.

Jordan Wilson [00:04:55]:
You're here to learn about how AI is changing the ecommerce landscape. Alright. So you're not gonna have just me blabbing on about this. We have an expert. So please help me welcome to the show. Bring her there we have her. Alright. So we have Joel Lamba jave.

Jordan Wilson [00:05:13]:
I I knew I messed that up, Joe. The founder You

Jo Lambadjieva [00:05:16]:
got it. The founder

Jordan Wilson [00:05:17]:
of Amazing Wave. Maybe, Joe, I'll have you introduce yourself and tell us what you do at Amazing Wave.

Jo Lambadjieva [00:05:23]:
Sure. Hi, Jordan. Firstly, thank you so much for having me on the podcast. My name is Jo Lambertieva. That was a really good try there. Jordan. I've had I've had no. No.

Jo Lambadjieva [00:05:34]:
No. I've had I've had people butcher my surname much worse than you, so you did well. So I am the founder of Amazing Way. We essentially help, ecommerce sellers, and Amazon sellers to adopt AI into their processes. And also we educate them on how to use AI in the best way possible to get best output for their ecommerce businesses. So that's kind of in the nutshell.

Jordan Wilson [00:05:58]:
I love that. And give us just an overview, Joe, of of the type of clients that you work for.

Jo Lambadjieva [00:06:04]:
Yeah. Sure. So we work with, a range of clients. So, like, for example, we work with Amazon sellers, so 3rd party Amazon sellers, vendors, as well as Amazon agencies, actually bigger ecommerce retailers, ecommerce tech companies. So anything that has to do with ecommerce marketplaces, we help with that.

Jordan Wilson [00:06:27]:
I love it. I love it. And, you know, how long, have you been working in the ecommerce space? Because I feel especially since the pandemic, it's it's really just blown up. But, you you know, how, how deep does your experience go in the space?

Jo Lambadjieva [00:06:40]:
Yeah. Sure. I mean, I have been actually in the ecommerce space for more than 10 years. So, initially, I actually work with variety of agencies to help their clients, build ecommerce strategies, how to grow. Then I set up my first Amazon agency called Emergent Retail to help vendors. And after that, I set up a an entire, Amazon team for an Amazon aggregator. And so now it's actually just kind of the, sort of the work and the learning from these 10 years combined with my geekery about AI. So which is my newest passion.

Jo Lambadjieva [00:07:16]:
So there you go.

Jordan Wilson [00:07:17]:
I love it. I love talking. I mean, that's what everyday AI is all about. It's a safe place for all of us who deal in the geekery of AI. Speaking of that, Joe, you you know, with your experience in ecommerce, how do you think, you know, that today, how has AI changed the ecommerce landscape?

Jo Lambadjieva [00:07:37]:
Oh, I mean I mean, this is why I got into this with in the first place. So, actually, my journey with AI started obviously when ChatChippity came out and I got really excited and I started experimenting because at that point I was managing a team and we had a lot of complicated processes. Some take took a lot of time, specifically around, for example, listing optimization for Amazon stores and, and say data analysis, etcetera. And so I started tinkering around and seeing, okay, so how can this tool help us optimize some of these processes? And a lot of my, experience came from just learning and practicing, like, with actual case studies of, okay, so can we make this process to an extent automated with chat GBT? And so I think, the first thing is just how much ecommerce sellers can, use AI to sort of automate a lot of current kind of more simple processes. You know, there's so much they can do with Chatcpt integrations, with Zapier integrations, with Chatcpt, and and just that on once on one hand. But I think there's just a general, bigger topic, around ecommerce and AI, which is about the changing landscape of how we buy product products as customers, and how the companies that we buy products from are reshaping our sort of, like, customer journey, customer experience? To give you one example, you know, my sort of bread and butter is Amazon. And Amazon has been sort of on a kind of a year long transformation, integrating more and more AI into the customer journey as we move throughout 2023 and now in the beginning of 2024.


Jordan Wilson [00:10:35]:
And, you know, Joe, I think it's probably important to to talk about both sides of this here because yeah, I'm sure there's a lot of people out there who maybe have worked in ecommerce or, you know, maybe they are in sales and now a lot of those sales maybe are coming online, but also just the prevalence of everyone shops online now. You know, how do you think, you know, at large and we'll dive in a little deeper, but how on the consumer side on those not working, you know, in ecommerce, how might AI already be impacting, you know, the the products and the processes in which we're all buying things online?

Jo Lambadjieva [00:11:07]:
Sure. I mean, it's really it's really fascinating. So if you are a consumer now and you want to buy something online, most likely you would have an idea of the product and you either go to Google and search for the specific keyword and browse through many different results on the Google search page. You click through many different results. You go and either use their shopping, sort of feature on Google or you just directly go to the specific results page. And there will be a lot of browsing sort of interaction. So you'll go from one side to the other side and that way find a product. Alternatively, you would go to, say, something like Amazon or Walmart.

Jo Lambadjieva [00:11:45]:
You type in a keyword. Amazon is going to give you a results page with different products, and then, again, the browsing happens. What AI now essentially creates is a completely different sort of behavior from consumers. So, for example, Google rolled out their search generative experience, which is their AI powered version of Google search. And with that, you would type in not just a keyword, but maybe an entire question. And as a result, the Google is going to then aggregate and create a summary with recommendations within the actual search sort of interface. And so instead of actually going and clicking through many different websites, you will just get the answer to your question in already on the Google search page, which is a completely different experience. On the flip side, Amazon, which is what I think is is going to be really impactful is then, it rolled out, their chatbot called Rufus, which, about maybe a month ago or a couple of months ago.

Jo Lambadjieva [00:12:50]:
And that basically means that instead of you typing, okay, let's say, hair straighteners into Amazon, you would type in what are the best hair products for curly hair. And so Amazon would look at all of your previous interactions as a user. It will look at like who you are in terms of like what you have purchased before any other demographic data that it has. And as a result, it's going to then give you, like you can essentially chat with this chatbot, find out more about features specific, and then it will give you a set of different results. So instead of like, okay, hair straighteners search, here's a bunch of hair straighteners, you have, like, a a whole curated results from Rufus, which may not be just about hair straighteners. It can be, like, for example, products for curly hair. I don't use any hair products, so I am, like, completely clueless. Bad example.

Jo Lambadjieva [00:13:50]:
But, but like yeah. It would just give you a a whole curation of different results based on who you are as a person from all of the previous interacting, browsing and purchasing data. So it's really interesting and it's a completely different shift in terms of how to think about finding a product even as a consumer.

Jordan Wilson [00:14:10]:
Yeah. And, you know, for those of us, on the livestream here and thanks as always for joining us. If you have a question, please get it in now. But, you know, I'm showing kind of, on the screen this Amazon Rufus and kind of this chat experience that that Joe was just referencing. Joe, at least, you know, I I follow this stuff daily. It seemed like, initially, you know, Rufus had kind of mixed reviews, and I think this is probably at least, hey. Where do I do the majority of my shopping at least here in the US? I think a lot of people it's it's Amazon. But maybe just talk a little bit more, about this.

Jordan Wilson [00:14:43]:
Is is Rufus available to everyone? And and maybe what are some of the pros and the cons that that you've seen since you work in the space and maybe what we should all expect?

Jo Lambadjieva [00:14:53]:
Yeah. So Rufus is not yet available to all users. It's currently being rolled out in a beta, across US. So, like, it's not available in Europe or any of the other markets, and generally, it's being tested. I also read, like, I think the Washington Post actually posted a a really good article essentially going through the experience of using Rufus. And what I would say is yes. It's probably a bit rubbish right now, but you have to think about it this way. This is just the beginning.

Jo Lambadjieva [00:15:23]:
This is just the sort of the beta that Amazon is rolling out. And it's not an it's not something that is just going to go away overnight. They will keep and, obviously, you need to think about it this way. This is a large language model. It learns from data. And so the more customer data they are there is and the more interactions there are with the chatbot, the better it's going to get. And don't forget that Amazon already has this incredible, insane wealth of data about everything that you have ever done on Amazon. It's not just purchases, but browsing.

Jo Lambadjieva [00:15:54]:
Like, they record even how long have you looked at one specific picture. The amount of data they have on every single customer is so rich that, yes, maybe right now, the these, chatbots are a bit garbaged, but over time, I think they're going to get really good. And with more interactions, they're gonna get more and more tailored. So I reckon we should expect that at least this year, by the end of this year, this is gonna become a much more useful and sort of typical way to shop online.

Jordan Wilson [00:16:28]:
How long do you think that this transition is is is going to be? And, what maybe are some of the for for us not working in the ecommerce, right space, but we can learn from, an expert such as yourself. So maybe how long until we all see this, and and what are maybe some things we might need to to look out for, right, with all of this data? Do we have to do anything to to safeguard that data, or is it just this is this is the future of of how online shopping works?

Jo Lambadjieva [00:16:57]:
Well, I I mean, honestly, like you, in terms of the data question, reality is that Amazon already has this data about you. Like, every time you go on Amazon, you give out your data with every single interaction. So it's not nothing nothing new from that point of view. What is interesting is then how does the AI then processes and takes this data, but that is a whole different kind of, like, philosophical, ethical, and and whatnot question. So what I wanted to discuss is, but I think from timelines, I would my prediction is that by the end of 2024, this should be something that you would like, basically, at least customers in the US would definitely be able to use. And I'm fairly sure that by the end of the year, it should be much, much better in terms of actual usability. I think it's just about I guess it's just about, like, the whole customer experience you're going to have. It it would it would really shift the way we think about, decision making.

Jo Lambadjieva [00:18:01]:
Like, you know, what Rufus is doing is, you know, right now, we see as a consumer, you would go into Amazon and you would look at, keyword, and then you're going to start browsing through reviews, price points, and and sort of make your decision based on all of these different dimensions. But with Rufus, a lot of these are going to go away and, actually, is going to be to the chatbot to decide based off the information you give it about features you're looking for for it to decide what to show you and what to recommend. In a way, it's much more, customization, and it's much more tailored to what exactly you input. But, again, I guess it goes back to sort of the idea about prompting and knowing how to prompt. You will only get the best output if you know how to prompt well the AI you're working with. And so, I mean, it's a question like, you know, would everyone like to do this? Maybe not in the beginning. In the future, maybe they'll be used to this, and and the AIs will be so good that, they will be spewing out the the right answer, I guess.

Jordan Wilson [00:19:02]:
Yeah. Yeah. Just taking more of our money. Right? Just quicker. You you know, for for those, Joe, that are working on the e commerce side, so maybe they they have an e commerce shop or they're trying to, you know, turn their side hustle into something, profitable. What are the big changes that they should be putting into their own operation? What should they be looking at? Because it seems like a lot of this, it's it's the big giants that, you know, Google, Amazon, etcetera, are just making these changes. So what should those working on the ecommerce side be doing to prepare and to not get, you know, crushed by all of these new, gen AI advancements in the ecommerce space?

Jo Lambadjieva [00:19:42]:
Yeah. I mean, I genuinely think that this is a really amazing time to be alive and to work in any sphere because AI just gives us so much capability. I mean, you know, Sam Altman himself sort of predicts that in the future there will be $1,000,000,000 like solopreneur companies because, you know, AI provides you with so much capability, which before you wouldn't have as sort of you would need to hire person a, b, and c to, like, do all of these different tasks. While, now with AI, you can offload so many different tasks. I don't think you can completely sort of remove the human out of the process, but you can definitely take a lot of sort of the more basic tasks and automate them. So as ecommerce sellers, I think one of the coolest things that I've seen recently is how ecommerce sellers start using AI to inform or develop their products. So a lot of product development is happening in a combination when using, let's say, chat JPT to like understand really features and products. And when you start, for example, feeding something like Chat JCPT or Cloud 3, like product reviews and getting this rich data about what customers like and don't like about product and what's the current products are missing.

Jo Lambadjieva [00:21:02]:
And then getting these insights and then feeding them into, like, let's say, an image generator like Midjourney, you can imagine how powerful this is. Like before, you would need, let's say, a product developer to actually go and develop the prototype of the product. I mean, I'm not saying that you don't need that right now, but you can have a pretty good idea about exactly what you want and then work with the manufacturer to to develop it. So that's just one way. I think another way is just, anything to do with written content. I mean, soon very soon, like product image content. And, actually, there's already really good tools out there that develop images for products, but specifically, like, copy based content is is a no brainer sort of integration with AI, whether it's your website content or your email campaigns or your, social media posts, anything like that, you can absolutely offload it on on AI. I think there's just there's just so many different users I can, well, fill up the whole hour.

Jordan Wilson [00:22:05]:
Well, you you know, I'm curious even for, you know, you gave us a couple there. Helping in product development, I think is something that, you know, all companies selling online could at least use it as a sounding board or second, you know, second set of ears, so to speak, and you just talked about any website content. I'm I'm wondering even for for you or for your clients, what is that one generative AI feature that you've gotten the most return on? Maybe it's something you've already, mentioned, but maybe not. What would that one thing be for you?

Jo Lambadjieva [00:22:39]:
I I can't pick the thing is, like, you can't put this one because everything is connected. If you actually if you are an ecommerce sellers, a seller, you would, for example, look at all of your rich data about customer interactions. You can use that as a basis to sort of train, like, your, like, let's say, your AI and then have different types of outputs, whether it's, for example, advertising optimization or it's, like optimizing, let's say, your product listing on Amazon or any ecommerce website, or it's basically understanding your customer better. I think one of the major shifts that since AI is around, let's say Amazon, sellers and just ecommerce sellers started like paying much more attention to the customer persona. So before that, I think the really advanced sellers would really understand who their customer is because, you know, they maybe will have more rich data about their customers. They will have, let's say, customer service or or let's say a lot of traffic that will give them a lot of that rich data. Now you don't even need that. So this is again democratization of e commerce, I would say, because you can use AI to like feed, whatever data you have, extrapolate it, and then actually understand very well who that person that you're selling is is, and then target your content and everything else you do from that point of view.

Jordan Wilson [00:24:05]:
You know, Joe, I'm wondering because you, you know, you kind of referenced this thing that, you know, Sam Altman said that, you know, hey. With AI, there's gonna be single person $1,000,000,000 companies. And you kind of walked us through all, you know, some of the different ways that generative AI can help, you know, people who maybe aren't as experienced as you. But on the flip side, is there a problem maybe to this all? Like that maybe it's too easy for anyone, you know, with with no product experience, no no background in sales, no, you know, ecommerce know how. Is there maybe a downside to all of this and might there be a backlash from companies that use too much AI in their ecommerce, efforts?

Jo Lambadjieva [00:24:45]:
Yeah. No. Absolutely. I think this is the the scary bit that I think is going to come. My prediction in is in the next 6 months is, a lot of companies are now getting really excited about using AI. And even there was, about 3 months ago, there was a perfect example of like how AI can backfire. So there was an article that came out which basically showed all of these Amazon listings, which had a title. I'm sorry as an AI model.

Jo Lambadjieva [00:25:16]:
I can't blah blah blah blah. Right? And so it was it was basically a bunch of sellers who had used ChatChippity to, like, optimize their listings, bulk upload them without a toll checking what the output is, and then that thing was live. And so this just shows that, you know, when you use AI without necessarily, putting the effort to, like, do like, you know, get a good output and really put the human in the loop. That basically leads to terrible, like, really awful generic results, which are then like kind of spewed to consumers and over time. Thank you. This is exactly what I mean and I think over time, this is just going to me erode a lot of customer confidence. So I think customers will, get really, I guess, fed up with, like, awful, like, generic AI generated content, AI generated images. I think people would generally revolt against this.

Jo Lambadjieva [00:26:20]:
And I think because of that because of this sort of, how can I say, snow, like, sort of avalanche of of poor content, like, customers, consumers would really crave, like, human genuine interaction? And so I think brands and, like, ecommerce brands and actually just generally companies should use AI, but you should always have that human touch and should always understand that the customer in the end wants genuine interaction and not everything to just be robo created bullshit. Sorry. I don't know if I'm allowed to say that.

Jordan Wilson [00:26:55]:
Hey. It's hey. It's all good. We're a live show, so it doesn't matter. Yeah. And and kind of what we have on the screen here is is what Joe was talking about is, you know, listings. I'm sure there's thousands of them where literally the title of the listings is I apologize, but I cannot complete this task. So it's not, you know, a description of a chair.

Jordan Wilson [00:27:13]:
It is you know, it's it's a error message from chat gbt. So, you know, I'm wondering, Joe, for, you know, consumers. Right? Because you're you're an industry insider, so you understand how, you know, different companies are using AI. And I even know some people, you know, generate images, and they're like, hey. You you know, I don't have this product yet, but I'm gonna use an image and kind of resell it. You know? So what steps maybe, should the average consumer go through to even make sure that, you know, whatever ecommerce seller that they're, you know, working with is is legitimate and putting out a good solid product?

Jo Lambadjieva [00:27:50]:
Oh, I mean, that's a tough question. I mean, honestly, I think, generally, if you are say shopping from, Amazon having, like, looking at, like, the reviews for a cut for a product would generally help. And, obviously, this is where we actually, like, then go into this sort of, like, the really important point around building a brand and, like, consumers trust brands. And so this is this is actually not just ecommerce. This is for any industry. And so the point around having a solid brand, having multichannel interactions with your customers that are really authentic will become much more important in the air era of AI and sort of AI generated crap.

Jordan Wilson [00:28:34]:
So, you know, as we wrap everything up here, Joe, because we've talked about a lot. You know, we talked about, you know, how AI can be used in product development, better understanding customer personas, written content, all of those things. But maybe, you know, what's what's your one biggest kind of takeaway, you know, not asking you to see into the future, but we are talking about how AI is changing the ecommerce landscape. What is your biggest takeaway maybe for consumers so we can split it up into a 2 part question? What's your biggest takeaway for the average consumer and your biggest takeaway for someone working in ecommerce about how AI is changing the landscape?

Jo Lambadjieva [00:29:15]:
Yeah. Sure. I think for consumers, it like, prepare yourself for a lot of what you're used to in terms of when you go online and find products and shop for products, a lot of that process to completely change. I mean, again, brave sort of forecast or brave prediction, but I genuinely think that, keywords are going away and you will be interacting with essentially with, like, AI powered chatbots or our shopping pie like copilots that will be able they'll guide you through the journey. And so it's gonna change a lot from that point of view. For ecommerce sellers, I think is don't waste time. Like, start getting and using AI because there is, like the more the more you delay, the more you you sort of miss out. And I think AI can help pretty much any sort of area of an ecommerce business.

Jo Lambadjieva [00:30:08]:
And so, yeah, get on with it.

Jordan Wilson [00:30:11]:
Get on it. I love it. And, hey, while while you're at it, if if whether you're in the car, listening at the gym, whatever, where wherever you're listening, get on, going to your everydayai.com and sign up for the daily newsletter. We're gonna have a lot more, information in there from Joe and her company as well as I think she she has a newsletter in there as well. So if you're an ecommerce expert, we'll be putting that in there. But, Joe, thank you so much for spending the time to walk us all through how AI is changing the ecommerce landscape. We appreciate your time.

Jo Lambadjieva [00:30:42]:
Thanks so much, Jordan. Thank you for having me.

Jordan Wilson [00:30:44]:
Alright. Well, hey. We hope that you learned how AI is changing the email or the ecommerce landscape. But in the email, we will be recapping today's conversation with main takeaways, so make sure to go to your everydayai.com, and make sure you join us every single day for more everyday AI. Thanks y'all.

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