Hey, daddy are here. This is makes life so much easier when you have a fantastic co-host who you're actually meeting in real life. I'm going to break it. Yeah. Yeah. I'm real. I'm real. Not an avatar or anything. I'm real. Yeah. So, you obviously we're on the show floor. We're going to flip things. This is not five things Friday or expo. We are in operator mode. Okay. You are on a shopping mission. You have needs. You have demands. And you need to solve problems. So what's the problem that you're going to solve today? So one of the biggest conversation at NRF APAC 2026 is really hitting AI right from agentic [music] to generator to all kinds of intelligence layer and how we using AI in the various different ways possible. But what we're not really talking about because it's less sexy and it's a lot of work is data itself. The quality, the hygiene, the management of the structure data for example structure.
Yes. Everything of those will be different from one business to another. So then the [music] point then therefore is we need to look at companies that are very focused on just making the data real and the data happen for the business. [music] Okay. So let's go. Let's go and find these data companies. Let's go find them. Hello. Hi. How are you? Good to see you. Okay. So, this is Lazuli. I was telling you. Hello. And um I actually found Lazuli uh in NRF New York. Oh, wow. No way. Yes. Yes. I was walking down and I saw them and I was talking about one of the biggest problem and conversations that we're having, data enrichment as well as data hygiene. for example. So we spoke to them and we are now because specifically Lazuli is based in Japan and they have worked with a lot of different kinds of companies including retail and then they understand um the nuances of the private labels that we're doing that as a Japanese company that we're doing they understand that. So how do we enrich that with languages or with description that we could possibly not imagine because we're not even from that country but we are bringing in you know we're importing products from Japan.
Yeah. So we work with Lazuli to enrich our catalog of all our products that come from Japan. Yeah. And also to look at the kind of private brands that we are building and then they make sure the languages are good. We are referencing the right kind of products. We are talking about the trend that is happening in Japan versus um how we are imagining. So you have to understand a lot of companies are actually quite [music] location specific. So the geographical of um the companies that we work with plays a huge amount of difference. Absolutely. Yeah. I mean it's fantastic. Uh an American conference, you meet a Japanese brand and you're based in Indonesia, right? Or Malaysia. Malaysia. Yeah. Yeah. We have presence in Indonesia and Vietnam. But the point is because the products we're working on is actually Japanese products. So it is really the nuances that we're after. And when you enriching data, you really need someone who understand the market to kind of do it with. So we're very lucky that we found a partner in Lazuli.
Oh, fantastic. I have one question. What's the main focus is when you obviously you meet someone like you in are you like what's the core focus that you are you enrichment data? That's what you do day in day out. Yeah, we do structure product information automatically the unstructured data like cataloges or PDS. Okay. And also we are collecting from the internet. We cutting the productivity from the internet. Yeah. So that based on these kind of data we generate some kind of tasks or attributions and cutting. Yeah. Okay. That's fantastic. So they basically make whatever to make us a lot more searchable. Yeah. Make us a lot more relevant to the market conversation at that point.
I love it. And also reference us back to Japanese products and Japanese trends. Yeah. That's fantastic. Which if we're in a complete different space, we wouldn't have understood. And you're in this. Were you in the startup zone in the in uh the US as well? Yes, in the startup zone. Yes. That's fantastic. Okay. Brilliant. Thank you so much. Thanks. Well done. See you again. Okay. The next one. Next one. Okay. Thank you. Bye. [music] Hello, fella. How are you? Good to see you. Yeah, good to see you. Yes. Thank you for coming to Singapore. I think that's amazing. So happy to be here again. And the first time we met was at NRF New York. Oh, again. Another one. Yes. At the startup innovation area. Yes. At Tubby. What a show. We talked about how to use your service um to basically look at enriching our data and we have crazy amount of data as you can imagine and they looked at our data and said h there's a lot of work to be done here.
So enriching is one of the uh key strengths. Okay. U perhaps you can tell us a little bit more about what you guys are doing. So it's better hearing from you than me. Yeah, happy to do that. So, what we've noticed is that many times retailers are supplied with very inconsistent product data from their suppliers. It may lack some attributes from one supplier to another or the supplier may fill or may not fill each attribute in a correct way. I mean, in any case, they will each have their own way of filling things so that the retailer ends up with something that is very hard to use if they're going to generate value out of it. Yeah. So we fixed that. We fixed that by by doing a bunch of things but mainly we we source reliable information using a combination of logic based approach and AI approach. Once we know that we the underlying data we have is of good quality. This is key to this.
We don't start with AI. We start by sourcing the best information we get from. I love that. What's been the sort of major thing that I I've seen you talking to retailers. What's what's on top of everyone's mind? What's the one thing that's driving conversations? That right now agentic. Yeah. Like but what agent in the sense of controlling my data or acting as the layer of the sort of output layer. You know the saying garbage in garbage. Garbage out. Yeah. I like to view it differently. Let's put it as or like gem in revenue out. Yeah. [laughter] She loves that. Yes. So we are giving them like the rough rock. Yeah. And they turn the rock turning into a diamond. Yeah. Okay. Nice. So then now we can anticipate obviously we don't need to get into the weeds and and and the sort of the weeds of it. But is that genuinely what like is that what you you're going to you've experienced in terms of the the PC that you're running? Have you actually seen an enrichment? Yes, we have.
Cuz I hear it a lot, right? I see I see so many AI companies at um events talking about how they're agentic agents, but I've never been able to sort of get the next layer down to say on real data. Yeah. Do you actually is there a limit to how much cuz you was we were talking about 50,000 SK. So the PC we're doing with Atonus is 50,000. Wow. And the idea is first they have a look at it and they push the hygiene quality to a completely different level. Yeah. And then after that they enrich it with various different column that is a must and then they also anticipate new attributes that would be coming in the near future and also allow for the scalability of uh the data quality to happen. And then after that we'll talk about agentic to ensure that that is upkept all the time. So they don't have to be doing the work again and again and again. But now we're just making sure that the agentic is just cleaning up just checking just doing uh the crawling just updating. If [music] we input in a new set of keywords from the internet for example what can they replace with the language change search intent change? So we will just map it back and say okay what do you think this keyword of climate change what are the products that can be rel related random that has an impact and then they will then make that shape or add to each one of the products to your point like product data is something that lives it's not something you don't build absolutely data set that and then then you're done it's a living catalog you very much need to adapt it as time goes 10 years ago 15 years ago it was SEO that appeared now it's TEO and I'm sure in 10 years it will be something else and it's not just like that big waves like that in between you still need to adapt for instance is is your is your product eco-friendly well you may need to add this as an attribute to all of your products how you going to do this if you're going to do it manually you have to find a more efficient solution to do that that's brilliant thank you so much good luck I look forward to to the report in what three weeks three weeks I think three four weeks I Yeah, something like that.
Thank you very much. I really for all the hard work. Thank you. Oh, you're welcome. It's a pleasure working. [laughter] Oh, absolutely. Thank you. Thank you. Thanks. Let's go. Yes. So, there we go. Operation [music] mode. Operator mode. So, I took you around operator mode. Absolutely. Some of the partners that I'm working with and what I will be looking at when I'm here at the innovator showcase. And I think this is the part that we shouldn't miss out. Yeah. because this is where you find the true, the latest, you know, the most the most easiest of thoughts. And then it's up to businesses that's established like us to pick them out and say, "Okay, let's put you on to a case, build it for us, and let's see how it goes." I think it's a fantastic, and as he said, you know, creating those diamonds, but the innovation showcase is exactly that, right? It's finding the diamonds whether you're in New York, whether you're not in Singapore or in Paris.
What a fantastic showcase. Yan, thank you so much. No, thank you. Thank you. Thanks.
