EP #387 - How to maximise your Amazon operations with AI - Andrew Erickson

EP #387 - How to maximise your Amazon operations with AI - Andrew Erickson Speaker 1: Welcome to The Ecommerce Lab By Ecomcy. This is the place for everything related to Amazon private label and e-commerce. Learn exactly what you need to start or scale your business. Get insights from the top industry experts who will discuss the latest trends and best practices in the world of Amazon. From choosing products and sourcing from a supplier to setting up your Amazon account and marketing your business, you will hear it here. Let's get started. Here is your host, Vincenzo Toscano. Speaker 2: Hello, guys. Welcome to another episode of The Ecommerce Lab By Ecomcy, the place of air related to Amazon FBA, Private Legal and Ecommerce. My name is Vincenzo Toscano, founder and CEO of Ecomcy, and today we bring another special guest. His name is Andrew Erickson. And he's the co-founder of Inventory Hero, which I would say is one of the top solutions right now when it comes to leveraging AI to really maximize what you can achieve with handling all the inventory and logistics behind your Amazon business. And Andrew's also been a known figure in this space. I mean, when it comes to AI, he's also done a lot of content and leading a lot of webinars within the Titan community, which is also well known. I also want to have a segue when it comes to that. And also he had a few exits. I'm just very curious to see how those multiples are looking lately to see if it makes sense or not to have an exit these days. But Andrew, welcome to the show. Pleasure to have you here. How are you doing? Speaker 3: Thank you. Thank you so much. I'm doing great. It's August. It's August right now. So we're still in summer and I'm doing great. Speaker 2: Yeah, getting ready for Q4 before the storm, right? Speaker 3: Before the storm, batting the hatches. Let's go. Speaker 2: Yeah, I know, I know. But it's a pleasure, Andrew. Thank you so much for being here. I've seen some of your work and I see you speaking on stage and webinars. So I know that the conversation today is going to be very insightful. But, you know, for those that maybe don't know you, just give us a quick intro, a bit more in depth about who you are, how you came to be, where you are right now. And we can go from there. Yeah. Speaker 3: Yeah, so I have an engineering background. So I'm an uber nerd and I applied math background, right? So I so officially a nerd and I started on Etsy. Of all places. That was my first I had a I had an engineering job working for a big tech company. And I started handcrafting things and sold them on Etsy. And then I then I quickly moved on to Amazon scaled up my company, sold, sold one, started another one, sold it again. And then now and in the last three, four, three, four years, whatever, since AI has become a real Powerhouse, a really useful tool instead of just kind of like speculative thing. I've just been obsessed with all the AI tools and processes and everything else. Speaker 2: Love it. I mean, you also have an engineering background like myself. So I really I can't imagine how your mindset works, especially when it comes to e-commerce. I'm sure you reverse engineer everything out of it. And that's something that I'm sure makes your life so much easier, isn't it? Speaker 3: Exactly. Everything's a number to me. Speaker 2: Cool. So let's start, I guess, I mean, with a bit of, you know, the foundation where you're coming from. Of course, you come from Etsy, which is such an interesting platform, which I'm curious, as a quick segue, like how you've been seeing Etsy the last couple of years? Is it as strong as it used to be? Or you feel it's actually slowing down? What are your thoughts, given the fact that you're, you know, doing big numbers before transitioning? Speaker 3: It's good. I mean, Etsy is fine. It's hard to sell on Etsy if you're doing the traditional private label model from Amazon. Many of us are doing the build something in China and then sell it on Amazon under a private label brand. That is harder to do on Etsy, obviously. Yeah, it's harder to scale and also you have to have a unique design and something special that you've added. You can't just badge. You can't just take something from a factory and badge it and sell it on Etsy. That's against our terms of service. If you did design it yourself though, if you designed it yourself and you have some special design and you disclose it too, you can sell on Etsy. But it's done. Etsy's good. It has never really been a huge player though. So I always tell people, if you're in the arts and crafts space or if you do have some special design, then yeah, go for it. But I'd probably focus my efforts on other channels before I go hard on Etsy. Speaker 2: Yeah, that's what I was asking because it's something that sometimes, especially those Amazon sellers that have been struggling, they say, oh, what about Etsy? And I say exactly what you just said. Unless you're an artist or you do something that's quite unique, it's not really a platform that you can scale, especially if you're only kind of, the only thing that you're doing from a unique point of view, just adding a branding on something that is actually a commodity, you know? So that's why I wanted to mention that. Speaker 3: Yeah, they will ban you. If you don't disclose things, they will ban you. Speaker 2: I know. I know some people try to be sneaky and they always get caught. Yes, good. Now, before we jump into the topic, especially when it comes to that, I have a lot of questions for you. You mentioned something very interesting, which is The exit side of things, right? So you mentioned you had two X's there. So I'm very curious about what is being kind of the difference between both because from what you just described, it seems that they were kind of apart from each other. And I think when the aggregator kind of, you know, kind of phenomenon happened and we start seeing multiples that were out of this universe, like 7, 10, 15 X. And I say, wow, having an X is really the way to To be multimillionaire is the only way to go about and everybody was focused on exiting, exiting, exiting and some people got lucky and they got multiples. They will never get again, but now the conversation around exiting has completely changed. We see that there's not as much money as there used to be in the market. Multiple seems to be a bit lower. So I just wanted to take a minute or so from your experience, like you had a recent exit. So how was that? Like, was it easy? Was it not? Like, you got what you were expecting? How is that? Speaker 3: Well, I have a really good test case because I my brand, the first brand I sold was about two million revenue, and that was sold in 2021. And then we also sold something very similar sized, similar size, similar margin, similar catalog size. And we sold that one at the end of 2025. So it's a fairly within the last 12 months, right? And so a good test example, right? And I'll tell you the difference in the differences or multiples are lower now compared to the first one I sold in the first half of 2021. That was the very big like thrash deal. I will tell you a lot of people were claiming that they were getting I've talked to a bunch of people. So I've been I because I've been a coach inside the Titan Network for a long time for about six, seven years. And I talked to a lot of people exiting. Of course, I exited. So I'm talking both before and after and during and it comes up a lot. And I never had people who had the 10x multiples. They're usually, it's usually like, well, it's 10x if the company triples and if margins double. Speaker 2: Very conditional. Speaker 3: Very conditional. Very, very, very conditional. It's kind of like, and if also my lottery numbers come up. Speaker 2: Yeah. At that point, yeah. Speaker 3: Yeah, but that's not really, I mean, yeah, those are maybes, right. But generally, multiple. So if you're kind of looking at an average of who actually had delivered into their pocket, you're looking at in 2021, the and also I can say of my own my own exit, we were in the Low four. So I want to say it's like 4.2, 4.25 in multiple, something like that. It kind of depends on how you measure it, because there's like all sorts of like ad max and stuff. But let's just say it's kind of like between four and four and a half was our multiple. Right. And we also went heavy cash over over a large contingent buyout, which I think is always the best thing you should do. Yeah, I think so, too. I think the cash heavier. Speaker 2: So many people got And I will say it to the point of scam, like how many people, I'm sure you know a lot of them, they go promise the sky, oh yes, don't worry, we're going to pay over two years and then you're going to have a balloon payment, this, nothing happens. Speaker 3: There's usually, almost everyone has some structured contingency on their purchase, right? But I highly suggest that you go for like greater than 70%, if not 100% or 90%, but like greater than 70% of your exit price should be given Basically within a month of closing, right? So if you go with that, the numbers get smaller because it's less contingent, it's more sure, right? And so the first time we sold, we were in the low fours, like 4.2, something like that. Again, depending on how you measure these things, but let's go 4.2. And the last time we sold, so I'll tell you that there was a major, major peak in 2021. This is kind of the weird... Speaker 2: The pinnacle, the pinnacle. Speaker 3: The COVID times and the printing money times and this is kind of like right on the eve of major inflation and all that kind of a crazy stuff. The free money time that there was still like 2%, 3% loans that we're getting. So all that happened and then there was a huge, a huge dip, a major crash. I'm going to call it a huge dip. I mean, Thrasio went bankrupt, right? And now, so 2023, so two years later, it was quite a dip. And then I'll say that in the last 12 months or 12 months ago when I was, of course, very aligned with all these things, it came back to a very reasonable amount. People have kind of figured out where inflation is going to be sitting. The interest rates on loans are pretty stable now, worse than they were five years ago, unfortunately. But also these businesses have matured a little bit and we've kind of gotten past the hangover of that bubble. And so these numbers are much closer to where they were in 2018, 2019, before the whole COVID everything. And so we sold that three and a half X multiple. Again, that was 80, over 80% of that was cash up front. And so it is a small multiple. But again, it's still good. So if you're looking... Speaker 2: Yeah, of course. Speaker 3: Yeah, if you're looking to exit, I mean, you should always have an exit in mind, right? So I don't know, I can go on a whole like all the, here's my checklist of exits, but I'm curious what you think about that. Speaker 2: No, I think, I mean, first of all, when it comes to exiting, I think just to add an extra layer here very quickly, the reason also why People are not getting the multiples that they want. It's the reality, and you know this as well. Most people out there, they don't really have a brand. They only have an ace in their side. You just got lucky. You got this product. It's a commodity. You put a logo, and you happen to win first page organically, and you ride the wave. And then when somebody offers money for it, you realize, oh, actually, it's nothing valuable beyond the fact that I have good organic ranking. That's it. There's no branding. There's not anything more clever than that. And I think when you have this conversation, it really becomes the real definition behind why these multiples are not becoming premium, which I'm sure in your case, because some of the things you have done, you have proper branding, you have a proper kind of system behind everything, which is what allows you to also get a multiple closer to what you will get in 2021. But that's not the case for most Amazon sellers. Speaker 3: Branding is important, yes. And I think, and I gotta say, I was pulled kicking and screaming into branding being important because, like I said at the beginning, I have an engineering background. And so for me, I'm like, it's all about function, like all the features and special things and the things we've added and the price points and stuff like that are the most important. And I think those are probably 70% of the important things that you have a great product that worked really well, it has a set of features, it has a set of benefits come from those features. And you're at the right price point, you've engineered things to be kind of efficient. So that's 70% of the equation. But now again, Being a person who thought branding was complete bullshit, I completely 180'd on that. Like, oh no, branding is very important. And I always define brand as a consistent product line with a consistent style and theme marketed to a consistent person or avatar. So that consistency, that I am delivering consistent stuff with consistent quality to consistent people. And then having a little bit of the feel good stuff too in there is really important. Speaker 2: I agree. Even myself, being an engineer as well, I always thought that, oh no, the only thing that matters is just having a good product and that's it. And then over the years, I realized I came to the same consensus as you, like you could have the best product in the world, but if you don't have the right way to market and more important ways to amplify that awareness, you're getting nowhere. I mean, I know so many They're inventors. They have amazing ideas, amazing products I have never seen. Even when we go to China, you see all these amazing products, but you never see them hitting the shelves or becoming bestsellers because they don't know how to make it into something that it becomes kind of a non-brand and creates the awareness it requires. So yeah, you definitely need to know how to master that. Which I think with that said, I think with AI, and this could be a good opportunity to start segwaying into AI, I think now that's easier than ever. I think before it's true, like if you didn't have the mindset or the way or reverse engineer what branding was in the first place, there's people that no matter how you put it in front of them, they're just not good marketers. They don't know how to make a branding around a product. But now there are so many tools out there that make it so easy. I'm sure you have played with a lot of them, isn't it? Speaker 3: Yeah, I mean, you know, it's like all these things. I still, I love AI and I am so red pilled into the AI space and I think it's going to, it's going to, it's currently and it's going to continue to completely revolutionize our entire industry, entire world really, but particularly what I care about is my nine to five, right, business. And these things are going to be changing. We live in a brave new world now with all these AI tools and AI resources. And the thing I always say is that I'm still very bullish on humans, right? I think humans are going to be a very intricate part of this entire industry forever. And I always say that you need to have the best cocktail, the best blend is 80, 90% automation and AI, whether it's software or AI or whatever, data led, right? With that 10, 20% human component. And so that's where the expertise link comes in, right? Yes, you can have, you can create incredible listing images through ChatGPT. It actually has a really good image model and Gemini and there's a Chinese model that just came out that's really good. But like there's still that taste component that you need to have and you need to have somebody on your team has to have that expertise there. Or we have to have a system to like find the taste. You can AB test or find customers or something like that. But yeah, it's still very important that you have you have that human component still even with all these tools coming out. Speaker 2: Yeah, I always use this example with my team and everything. It's like you buying yourself the best car out there. It's like you go out there and buy yourself a Ferrari, but if you don't have a pilot that knows how to maximize that engine I can do, you might as well just buy a Corolla, right? Same thing. Speaker 3: Or if you don't know how to drive, you're going to crash right into a wall. Speaker 2: So I think with AI it's happening the same. I think most people say they're actually using AI or they're leveraging AI, but we know that 90% of people what they're using AI for is to reply to an email or to automate a calendar or do things that are so kind of basic that at that point you might as well keep doing a manual. Like I think there are so many more powerful implementations. Like for example, what you guys are doing, Mentor Hero, that's really impactful for a business besides so many trivial things that you see sometimes on LinkedIn, people automating things. Are you sure that you had to automate that or it's just a way for you to make another fancy post? You see what I mean? Speaker 3: I, so I always, and again, AI is new and different and special, right? But we've had automation for a long time, right? Automation, tech automation has been around for 40 years, right? Software, yeah. And so I always, I have a thing I like to do in my companies and I coach other people to do this too, is I call it the task test, the task test. There's four parts to the task test. Right. So every business is really a collective of your day to day operations. It's really just a big collection of tasks. Right. The first one is eliminate. So it's eliminate, automate, delegate, elevate. Those are the four. Those are the four. Right. The first one is eliminate. Is this actually useful? Do I actually need to do this? Right? And so like, for example, I had a person who told me that they spent an hour every single day opening their listing, like going on Amazon, opening their listing and like double double checking that everything is still there. And they spent an hour doing that every single day. And I'm like, How often do you see something like, well, I haven't had anything for three months, but, you know, this one thing happened a year ago and I got freaked out. So now I do it every single day. It's like my anxiety is there. I'm like, well, that does can likely be eliminated, right? Or here's another one. Another great one. People who spend an hour and a half on TikTok or Instagram commenting, human, human, you know, CEO, this is CEO, like, you know, person, you know, person owns a one, $2 million brand, and they spend an hour commenting on Instagram. So I figured, well, I'll be a part of the community, right? Sure, you can test that for a month and I want to see some traffic right from that. But if you've done it for several months and you're not getting traffic from it, eliminate that. The next one is, so that's eliminate. Next one's automate. Of course, if anything can be done by a computer or AI or an automation, you need to hand that off to the computer. No need for humans to do things that machines can do. Then delegate for all of us who are, of course, I'm assuming everyone here is a brand owner or brand manager or whatever. You need to, of course, delegate as much as possible. Every single part of a business can be delegated. Now, of course, there's the difference between delegation and abdication. Abdication is to leave and never look back. Delegate is to hand off responsibility, but to double check that task was done correctly. And then the last one is elevate. Elevate is to, if you don't have a person you can delegate to, you elevate someone, you train them, give them training or tell them to go to a conference or give them time to learn on wherever, or hiring an agency or a company to help do this kind of stuff for you. Speaker 2: Nice. I love that blueprint. It's actually very insightful. I think a question that comes to me straight away is, I'm curious, you know, especially with the expertise you have when it comes to AI, the other day when you make a decision, there's really two currencies, there's time And there's the finances associated with that, right? Because some people, right, sacrifice their time. Some people, right, sacrifice their savings or their money or whatever from a money point of view. So when somebody is coming up with this kind of a ranking system, I'm sure a lot of people ask you, OK, but how do I make the decision in balancing either between time and money? Because I'm sure some people might want to save as much money as possible, but sacrifice a bit of their time. So is there a way for you to kind of, I guess, even from personal experience, that you have come to a conclusion? Yes. When it comes to this kind of task, it's all about money. When it comes to this, it's all about time. What is your insight? Speaker 3: Well, and that's a great distinction, right? And the first one, eliminate, saves both of them. Unknown Speaker: It's time and money. Speaker 3: You get zero. It's zero times zero money because you just stopped doing it, right? So that's a win-win. It's not useful. I'm just going to stop doing it, right? So that one, that's just a win right there. That's why it's the first one on the test, right? And then we start thinking about the value of time. I'm a Tears of price how much I can how much I pay for these things right there's $5 an hour task $10 an hour tasks that's that's a virtual assistant right then there's $30 $100. And $500 an hour tasks. So data entry is going to be something that's a $10 an hour task. I need to hand that off. Verify, like, you know, there's like little things in Seller Central, like verifying the FNSKU and verifying the catalog backend, all that kind of things. Speaker 2: Yes. Speaker 3: And I got to say, I think we're at the point now where AIs can replace almost everything a VA did two years ago. Right, so you have $5 an hour tasks and then of course you go up and $30 an hour tasks would be like writing emails, doing kind of like menial spreadsheet inventory management, updating bids on PPC, those kind of things, right? $100 an hour tasks. Now we're starting to get into managers. So if these are proper, you're going to, depending on how big your company is, this is going to be like a kind of executive, big manager type person. And for those of us who are business owners, you want to always think, how can I elevate my time? How can I be north of $100 an hour equivalent in task and time and efficiency? Because that's how you demand, that's how you can get an income in that level because you can't waste all your time doing five And $20 an hour tasks. Speaker 2: Yeah, replying to small emails or things that are not really going to move the business forward, which I think as a quick parenthesis here, I think where I want to start taking the conversation and you're making a very good example is this task, of course, they have value associated like from $5 to hundreds of dollars. But we're also seeing, we're starting to see some case studies where in some instances, the token or the consumption that you need to have from an AI perspective, sometimes it's starting to Overpass the value of that task from a VA, for example, right? And I have seen interestingly in some specific tasks. So people going back to VAs because then sometimes when you do kind of the association with tokens, it's actually not as efficient with us. So I'm very curious about that. Speaker 3: What's an example of that? Speaker 2: So, for example, things I have seen associated with that is things, for example, to do with reporting or images, especially images, content I have seen. You have to have very good graphic designers, well, $5, $10, even $15 per hour. But sometimes in some of this AI, when it comes to images, you have to do a lot of revisions on some of these images and big catalog, it becomes dozens and dozens of dollars. Which you can get away with a salary, right? So that's why I was asking if you have seen case scenarios like that, if not, very curious to hear take on that. Speaker 3: So it's very, it's very interesting because the, I think tokens are, we're on this roller coaster or this exponential growth right now where tokens are going to become incredibly cheap and they're going to become very fast and incredibly smart. We're already seeing that right now. We're not seeing any slowdown. I know that some people are saying like, oh, well, there's some speculation. These companies aren't profitable. There's a lot of venture capital. Speaker 2: That's true. Speaker 3: There's a lot of venture capital going in. So there's subsidized there. But like many of the companies are almost profitable, right? Anthropic is almost profitable. And it's huge, huge for them, right? But yeah, I think so. The more direct answer to your question is yes. We need to figure out a good, we're all, we're a business owner, we're a resource allocator, right? We need to figure out like where, when is AI the best? When is a human the best? And of course a lot of times when is the blend of the two? When is the, when do we, when do we combine these two together to be that much better? So I have a great example. My friend is a, she sells custom-made Custom printed products like names on backpacks and little things like that kind of Etsy esque and she's a and she She she had four graphic designers they would receive Information from the from the buyers like the name and the color and the design whatever and then they would they would basically take the name and kind of print it right on the the proof the Printing proof, right? And then they would send it back to the customer and the customer then have to approve it. Then they put it on the little print thing and the print thing, whatever, right? So she had four people doing that full time, right? Well, then she went through and she automated most of that so that the actual proofing actual image, the names go right onto the graphic. And then she ended up firing two of them and moving one to a different part of the company and then keeping one human there. So basically one human is helping the machine. Yeah. I would push back on someone saying that like 100% AI images. Is more expensive than 100% human images because I bet what's probably better. It's probably 80, 90% images. It's a hybrid. Yes. And that 10, 20, 30% human, the tastemaker, the critiquer, the improver is probably a really good blend right now. Speaker 2: Yeah. And that's actually a good example because I think an example I gave you what I actually saw happening is that people will find all the graphic design team. I do 100% on AI image generation. And they happen exactly what you described. Like they were doing a lot of revision, but they were not really knowledgeable about graphic design branding. And the amount of revisions they had to do, instead of keeping at least one person doing that 80, 20 thing, cost them more money with AI. So it's exactly what you mentioned. People still have to understand that we're still not in a phase where you can go all in. You have to find a balance to kind of make it be efficient, you know, for you. Speaker 3: And there's a tool I made just kind of for fun, for the community, whatever. I built a tool called optimizehero.ai. And it's a tool that you can go on and it will create main images for you and you can A-B test these main images. And so it's sent out to real humans through like a poll, a polling service. Real humans and structured at, so it's like a real Amazon listing layout. You can do mobile and desktop and everything else like that. And it just creates free images, free main images, right? And then you A-B test. Of course, the A-B test, it's real human, so it costs money. But yeah, I would ask you guys to go to optimizehero.ai. It's a fun one because in my mind, again, I'm a numbers guy. I A-B test everything. I A-B test all of our main images, our copy, our supporting images, our benefits, all these different things. We A-B test every single component. And so I build a tool that helps do that. Speaker 2: Love it. So now, with that said, I mean, now, of course, branching into kind of inventory here, I would love to use the last couple of minutes to kind of bring it to a conversation because, of course, everything you guys are doing there is AI driven. And I'm very curious about, you know, what are some of the interesting things can be achieved with kind of the solution you have put out there, like, because I'm sure a lot of people may have those issues or people don't even know. They can be more efficient with a solution like that. So tell us more about that. Speaker 3: Yeah. So this is one thing I'm really excited about. This is where I'm like, where can we provide as much value to the community as possible? And we're in this pivot point right now where the A.I. has gotten really good at data processing, but it's not good enough. You can just say like, hey, here's my A.P.I. connection. Here's my data. Here's my downloaded sales report, whatever, and send it right. Just attach to ChatGPT, plan out the next six months, right? And it just, I tried that. I tried, oh, isn't it so smart to do this? The answer is, heck no, it is. It is not smart enough. And I asked it, you know, 10 different times and two of the 10 times, nailed it. It's like, oh yeah, you're going to grow like this. We saw a Christmas bump. We're going to double up in December and then we're going to go back again, right? Two out of ten times it nailed it. Five out of ten times it did okay. Probably would have been better if you just use your intuition. Kind of like, ah, I just know I ordered about 2,000 units every three months. Like your intuition is probably just as good as ChatGPT. And three out of five times it gave you just an insane, insanely stupid answer, right? So it was like, oh, I see you've doubled the last two months. I think you're going to double every month for the next two years. Speaker 2: You're going to sell 17,000. You're going to be a billionaire. Speaker 3: I'm like, oh, I wish, I wish, I hope, please, please, I hope that's, please help me make that happen, right? And so we built a harness, we built a system that pulls in all the data. We're incredibly good at pulling in all the data where we have a full connection to Amazon. And then we were omni channels coming out in a month in September. So we have a way to bring that data in, but we'll have a full authorization, a full data pull-in next month. But we pull this data in. And then we use, you don't just use AI. A lot of it's just regular math, right? You're like, okay, well, I'm selling 10 units a day. I have 100 units in stock. That means I have 10 days of inventory, right? And now we have stock coming in on a purchase order. When that's coming in, we know that we need to credit that in a month from now, right? And everything's planned out to the day. Everything is spec'd out so that you know exactly where you are, where you're going, how much inventory you need. And then we also are really good at seasonality. So almost everyone has some type of seasonality, right? And we pull in data from, of course, we have two years of historical data, pull in historical data. But then we also actually found that what's better than historical data is we pull in competitors, like-for-like competitors, and keywords. And that actually is, we found, because you can get more data, we found that that actually is a better predictor of your seasonality than your own history. And so we pull that in and everything's adjusted for seasonality. And then so all that stuff is all kind of structured correctly. And then the beautiful part is we've built everything so all the data is discoverable, it's all readable, it's all usable by the AI. And if you use an MCP, which is just like basically giving like permission, sort of like login permission from your AIs, can go to our app, inventoryhero.ai. And, uh, pull that information in and we structure it. So we give all this information to the AI so it can do your entire demand planning and inventory management for you. Speaker 2: So you can essentially just engage like how many units are needed for next week or for next month or next quarter or that kind of engagement kind of to your AI if you have an NCP, I guess, right? Speaker 3: Exactly. And what we, and again, that, that idea that the, We've had multiple people Reduce their staff or reallocate their staff. So we can replace VAs and then, you know, good. A lot of people have like their smart spreadsheet VA. We can replace that completely. And the forecast is better. More deterministic and easier for the owner to like get the data right away. They can go into the dashboard. They can also just like ask their AI. Hey, tell me what's going on. What do I need to worry about the next 30 days? What do I need to pay for? Here are the three things you need to pay for and here's exactly how much. Speaker 2: And I think the most important thing just to kind of bring this to a closure, this is like, it's not only about the money you save, it's about the currency because sometimes You have to understand we humans make mistakes, a lot of them, and that means not only now you're being more accurate, it's the fact that now your decisions are going to be heavily driven on data, which the reality of things, even if a human is heavily, you know, kind of relying on data and all that, we're going to make mistakes, we're going to forget checking that data that we should have checked, and that's where things end up going down the You know, the rabbit hole of making mistakes, right? And I think that's really the biggest win here. It's not only the cost, it's the fact that now you can be confident that if you need to send a thousand units, those thousand units are as close as it gets in terms of the units that you actually need to avoid overpaying for storage fees, to avoid going out of stock and all the issues that we know people go through. Speaker 3: Exactly. If you are a business owner and you have a spreadsheet that has 17 tabs where you track your inventory and you still, even though you spend all this time and energy on the 17 tabs and that all you have to do is you have to open the third tab and then go to the sixth tab to verify and then oops, the ninth tab wasn't updated. It was updated three weeks ago. If that's how you manage your inventory right now, Check out inventoryhero.ai. It's going to be a breath of fresh air. In fact, not only is it a breath of fresh air, the AI, because the AIs are smart now, we actually can take those spreadsheets. You can upload the spreadsheet and it just populates the entire app with your data from the spreadsheet. Speaker 2: That's cool. So I'm going to make sure everybody watching and listening needs to put all the information down in the description. And I guess to conclude, I think we have a special coupon, right? So ecomcy30. So guys, make sure to use that one. If I'm not mistaken, Andrew, they get a discount with that one. Is that right? Speaker 3: Correct. 30% off with that discount code. Speaker 2: Awesome. So, Andrew, it's been a pleasure. Thank you so much for being on the show. Looking forward to see you at upcoming events. But other than that, I appreciate all your insights and hopefully see you on the next one. Yeah. Speaker 3: Thank you for being such a great person in the community. We've had a bunch of like co-conferences together and I love having other people who are who are really willing and helpful in the community. So it's just it's a pleasure to be here and I just want to thank you for doing all the stuff that you do as well. Speaker 2: Thank you. I appreciate it. Have a good one. Bye bye. Speaker 1: Thanks for listening to The Ecommerce Lab By Ecomcy. Be sure to subscribe so you don't miss an episode. While you are at it, we would appreciate it if you could leave an honest rating and review on Apple Podcasts, Spotify, or wherever you listen. That will make it easier for others to find out about the show and benefit from it. Want more? Visit our website at www.ecomc.com where you can get your first consultation for free. Or find us on Instagram, Facebook, and LinkedIn at ecomc.