Name: From Manual to Autonomous: How Manufacturers Are Automating Procurement with AI & EDI
Uploaded: 2026-04-16T15:16:13.117Z
Duration: 1 h 12 s
Description: From Manual to Autonomous: How Manufacturers Are Automating Procurement with AI & EDI

Transcript for "From Manual to Autonomous: How Manufacturers Are Automating Procurement with AI & EDI": Hello, everyone, and welcome to today's webinar, from manual to autonomous, how manufacturers are automating procurement with AI and EDI. Manufacturing today is operating in a high pressure environment. We are dealing with massive volumes, complex global supply chains, and rising compliance demands. Yet despite these advancements, many procurement teams are still anchored by manual work, processing order confirmations, chasing invoices, manually validating data in ERP systems. So today, we're exploring how to break that cycle. We'll look at how Jagger One combined with AI powered document intelligence and integrated EDI automation is helping manufacturers move towards truly autonomous procurement, eliminating bottlenecks and scaling operations across thousands of suppliers. I'm Ella Wilkinson, and joining me to dive into these topics are Michael Roche, SVP of global advisory at Jager, Wolfgang Winsall, vice president of sales at Global Digital Post, Christophe Jaser, technical manager at Global Digital Post, and Harold Jaser, general manager at Global Digital Post. So welcome all. It's lovely to have you with us today. To kick things off, I like if you could all briefly introduce yourself, tell us a little bit about your background, and why you're an expert on this topic. So, Michael, you're actually on my screen right now. Do you wanna kick us off? Absolutely. Thank you for for having me. It's a pleasure being here in this webinar today. Yeah. What's my background? I'm working in procurement for more than twenty seven years. I've cofounded, my company called Pool for Tool back in the days. It was around about 2000. And our main idea was to help procurement organizations across the world to make the digital journey with their suppliers easier. And 2017, Pufotol and Jager joint forces, yeah, we merged and I'm responsible now for advisory globally. My job at the moment is to make customers more successful with our application and get the maximum out of the application. So it's a it's a value measure, and this is also the reason why I'm here. And thank you for having me. Well, thank you for joining us today. If I go to you next, Wolfgang? Sure. Hi. Wolfgang here. I have thirty years of background in the PLM market, so, CAD and, PLM, mostly in the automotive, industry. And then, you know, I switched sides and since, fifteen years now in the bigger procurement market. So, I'm a former colleague of Micheal. So I worked with Pultr two in five years, then worked with Tega five years, then roamed around a little bit in the market and now with GDP and kind of being back then in the in the bigger checkout family and glad to be here. Yep. Glad to have you with us. Harold, if I throw it to you. Yeah. Hello. My name is Harold Yasser. I'm general manager of Global Digital Post. I am the founder of this company, and together with my son, Christophe, we own this company now. As we started in 2007, we have now almost twenty years EDI experience. And more than fifty years, we're working together with Jager. So we know this Jager system also very good. Brilliant. And, Christoph, if I further to you? Thank you. My name is Christophe. I'm, as Harold said, the the son of him. As I said, a company was founded, twenty years ago. As I'm 29, of course, I'm not in the company since the beginning. Yeah. I joined the company in 2020. I'm responsible for all the technical parts. So, I'm I'm running the development team here, and I'm responsible for developing, what our customers need. And in that case, since many years, I think everybody knows EI. And, of course, that was our our core development here, and that's what we'd like to show show you today. Brilliant. Well, I'm so happy to have all four of you here. Just before we kick off, I would like to ask you all in one sentence, what is one major shift you're seeing in manufacturing performance as we head into 2026? If I stick with you, Christophe, because you're on my screen right now. One major improvement. Yeah. I think, like, exactly the headline of of our, yeah, of our webinar going from manual to auto autonomous. Brilliant. Michael. Oh, one sentence. I think, the more we see artificial intelligence coming, the more we will see also artificial intelligent in artificial intelligence supporting procurement and supply chain teams. Brilliant. One sentence is always very difficult. It's a bit of a red herring to begin with Wolfgang. In order not to repeat the AI thing here, for me, it's integration, integration, integration, vertical and horizontal. So throughout the supply chain, the chain has multiple levels up to down. You know, the information needs to flow in horizontal in your own organization. Work together closer with everybody. Same thing. Data needs to flow from left to right, up and down. So integration of the software platforms, that's the key for me. Brilliant. And, Harold, what is one major shift you're seeing in manufacturing procurement as we head into 2026? For us, it was also very important to integrate the supplier with the customers so easy as possible. And now is to know AI solution. It's getting simpler as it was always it was before. So it's now so easy that everybody could join this story. Brilliant. And I know I know you guys have a presentation, so I'm gonna hand over to you, Michael. Okay. Then let's kick it off from the presentation. So this is the audience speaking to you today with all our twenty plus, thirty plus years of experience I'm explaining you a little bit where we think the market is going and also our new product offering, which is absolutely stunning for us because it is ever evolving on the one hand side and also bringing a lot of value to our existing customers and also to our new customers. This is the very short but powerful agenda for today. The introduction part, we have already done. I will give a short overview about what Jager is and which direction we are going, and then I will hand it over to the experts on the GDP side. Yeah. They will explain you all the great things, on the AI front, what we have done together since now over over 50, and, the great new artificial intelligence plug in they have developed and and rolled out at the first customers very successfully. And this is also then our third point. This is all about, SIG AG, one of our reference customers, our testimonial. And we will go a little bit deeper and explain you how the math really works, yeah, and, what the business case really looks like. Before we go into what Jager is, yeah, I have one very important question from for you, and this is this is my attention grabber. Yeah? So Jeff Bezos, yeah, is asked on a regular basis about, hey. What is the the new big thing on the market? Yeah? And in one of the interviews, he said, yeah. Everyone is asking me about the next big thing, but no one is asking me the question, hey. What will be the same in ten years from now? And I think everyone should pause now for a second and think about that. If you would know how the market will look like in ten years, on a strategical basis, it is much easier to make strategic decisions and develop a strategy for your organization. When it comes down to procurement, and again, in the intro, I explained it a little bit. I'm working in this space, in this domain for twenty seven years now. And in this twenty seven years, I've always seen three major topics. And from my perspective, this will be the same also in ten years from from now. And these are the three topics. Procurement is always about cost, it is about risk and resilience, and it's about compliance. Of course, the level of sophistication in this area are changing. Yeah. When you think about compliance, the regulatory topics are popping up left and right. Yeah. Risk, yeah, is getting defined every now and then by presidents of the different countries and so on and so forth. But the cost topic, yeah, it always stayed the same. There is hard savings. There is soft savings. Yeah. And when you talk about soft savings, it's all about efficiency, so it's all about automation. You know? How can I do more with less? And this is also a little bit also the topic for this webinar. Yeah? How can we use technology, EDI, artificial intelligence, to support manufacturing companies, but all companies like CPG and other verticals in the world. And this is what we, as Jaguar, are doing, yeah, for more than thirty years now. So we are offering on the market a source to pay and supply collaboration platform, and what we are trying to do is to connect the dots in a way so that you can act in a proactive way. And by doing that, you are accelerating business outcomes. Yeah? This maybe sounds a little bit like corporate language. Yeah? But if you think about it, yeah, if you use the data in a way to make better decisions, yeah, then you have, at the end of the day, understood what the essence of Jaguar really is. Jaguar is a global company. Yeah. We're working in many different sectors. Our main three sectors are manufacturing, higher ed and the public sector. Yeah. This is where we are really strong, but we have a lot of expertise, a lot of SMEs on board who know this sector really well. And we have, global operations in 55 countries of the world, so that's a lot, 1,400 customers, 1,200 employees roundabout. This is the strength and the expertise we bring to the table. What are we offering on the market? We are offering a software product on the market, which is called Jager One. And the Jager One product is on one hand side, a supply intelligence tool, yeah, and underneath a source to call driven procure to pay solution with all the modules, all the functionalities, available to make these processes more efficient and more autonomous. And since some years, we have already worked on a lot of AI offerings within our product. I will come to that a little bit later. And we have now bundled that all together into a procurement orchestrator, an AI orchestrator, which is called J, that's our agenda AI framework surrounding all our modules. So that's the domain we're operating in. It is procurement. It is supply chain. We're working very closely with a company called Hackett on a yearly basis. They're asking the CPOs what are their top priorities, for a year. This, of course, changes slightly depending on the times, depending on the crisis, depending on the market pressure. But what we see again are always those three big topics. It's about cost, risk and resilience and compliance, yes? Here for 2026, yes, ensuring the supply continuity is on top of mind for the CPOs and closely followed by improving the spend cost reduction, also cost avoidance, cost reduction, cost takeout. And third, and that's a new category in this analysis here, is AI. Yeah. So everyone is trying to use or to leverage artificial intelligence to do more with less, yeah, to come to better outcomes, more quicker, and connecting the dots in a more efficient way. Okay? So this is the world we're living in. When it comes to manufacturing and supply chain, yeah, we, as Jager, we have we are supporting many, many different, operational processes. Yeah? This is maybe a little bit of a complex slide for some of you, but you have to read it from left to right. So on the left hand side, this is you as a customer. You have your different ERP systems, one or many ERP systems, SAP, Oracle, NetSuite, or other ERP systems. In the middle, you see, like, a one, and on the right hand side, you see the world of the supplier. For me, personally, the rollout of a software tool, yeah, is not only the rollout of an application within your organization. Yeah. I call it also roll in. It's also the rollout to your supply base. So it's absolutely important that the platform is easy to consume from a supplier perspective, which is free of charge from a supplier perspective when it comes to web EDI and should offer the possibilities for sophisticated suppliers to be integrated via EDI. And this is exactly what this close collaboration with GDP is all about because GDP is focusing on this EDI piece, and we made the strategic decision, hey, the EDI thing, it's a domain of its own. Yeah. We will give it to a partner, and that was the reason why we started our collaboration, our very successful collaboration with GDP. That's also the reason why on the right hand side, you see GDP. In the middle section, chapter one, you see all the different processes we are supporting. It comes from purchase order management, so exchanging purchase order or advanced shipping notifications or even good receipts, invoice, credit notes, forecast information, delivery schedules, vendor managed inventory and also consignment, consignment stocks. So this is what we're doing on a regular basis for a lot of our customers. Yeah? So and then when I talk about a lot, we have customers who are exchanging more than 1,000,000 POs every year, yeah, with their supply base and many of them already with EDI. Yeah? So that's that's a great thing. What we are doing is we are not only exchanging the data with their suppliers. We're also trying to measure the success of our customers. So every digital synchronized purchase order has a value. Yeah. Because if someone if a human would do it, it would cause labor costs. And if you automate this process, you can save a lot of money. If you calculate the amount of transactions and the costs saved, so the process cost savings, you get really impressive numbers. And on a yearly basis, we are honoring, our customers who earned a so called value achievement award. This was 2024, where we had three winners, yeah, with, TGW, an Austrian company, Ritter, a German company, and TRUMPF, a German company, and they saved millions. And below what you can see is the amount of transactions they have exchanged over the platform, really impressive numbers. And all the, supply chain relevant processes I have underlined. And all of those processes have been supported by GDP. And it's also very impressive to see that all of the award winners are working not only with Jager but also with GDP in a partnership. When we look into 2025, you see a similar picture. Again, great companies, a lot of process cost savings developed or saved for those companies. All of those companies are using supply chain processes, and all of those companies work with Jager and GDP. So I think this pattern, yeah, I think is visible to everyone, and this pattern is also, I think, a testament of if you do the right things, you have the potential to really save millions on the market, and this is what I want to show you with with these two slides. The next slide is now going a little bit already in the direction of artificial intelligence. Yeah. Everyone talks about AI, and it's the big thing, I would say, in the last three to four years. Jager, yeah, has already started using algorithms, which you now call artificial intelligence, yeah, since 2014, yeah, especially when it came to to spend analytics where you are analyzing a huge amount of data. We saw that artificial intelligence is really is really helping us, yeah, and and and performing really well, and that's the reason why we have started already in 2014. And since then, we have added additional use case features and functions to the application, and the latest, innovation we brought to the market is J, which is Jaeger, artificial intelligence, and this is what will support our customers also in the future. On the right hand side, you also see a very important topic for us. This is all about, compliance and security. Jaeger was the only S2P provider to be, certified based on ISO 42,001. You know, this was a big milestone for us. Again, we were the first S2P provider, to achieve that. And the guard Gartner also recognized, Jaeger in their AI hype cycle for four consecutive years. Yeah. We're we're the only procurement provider who is part of the Gartner hype cycle for AI, and this makes us really proud. So coming to this to the next slide, it's all about Jay, our, AI procurement orchestrator. What Jay does, is is quite simple. Think about it as like a digital companion, a digital assistant who's working side by side with you in the platform. There is an evolution, and this evolution starts of course, already started with the so called Jager Assist. Yeah. This is the first version of our Jager Assist. Over the course of 2026, we will launch Copilot, yeah, J Copilot, where you have someone who's cobrowsing with you together in the application. And then at the 2026, and the early adopters already have access to that, it's all about the autonomous agents. This is autopilot where you can develop a certain workflow and together with LLMs and artificial intelligence, decisions will be made in an automated fashion, but locked in a way that you can always understand why certain decisions have been made so human is always in the loop. And this is also the reason why we are working very closely with GDP because they have, next to their EDI capabilities, a huge new offering. And, yeah, I want to give you the hand now over to Wolfgang, and he can explain us a little bit what this is all about, or is it Harold? First, I'm first, I'm allowed to introduce Global Digital Post or GDP as we call it. Thank you, Michael, for all that information we already have received from you. GDP is a global EDI provider with our activity starting back in 2007, which you already mentioned in the introduction. Since then, we have built a strong international presence with customers in over 80 countries, and around 20% of our revenue is coming from The US. Our solution supports all major message types and network connections, which allows us to integrate very flexible flexible into different system landscapes. What really defines us is that we are fast, flexible, and always working with the latest technology. At the same time, our platform is highly scalable and offers a full end to end service. Our partnership with Jager started in 2013, and our EDI solution is fully integrated in Jager One. Today, around 85 Jager customers are using our interface and with more than 2,000 suppliers connected and over 10,000,000 procurement documents processed every year. Some well known reference customers are SICK and Tromfin, Germany, Buhler in Switzerland, and Oshkosh and Heister Yale in The US. So, overall, this partnership is for both partner and their customer, a real success story. Alright. After introduction portion, now we begin into the actual matter of, this webinar. Thank you, Mimi, for the kind words and for showing our common success. And, I really like the customer success stories, because they show how important also how our, you know, addition is here. And I want, to explain what we do in terms of EDI and how we have added AI lately, and really show in a in an overview, how that all works together. So if you go to the next slide, please. So first of all, first thing, you know, we talked a lot about AI. So I I thought it's at AI what it has to say about, supply chain communication. So this is all about making your supply chain look better. I think it's clear to everybody that, if the right in the manufacturing world, the the right parts are not delivered to the right place and the right time, then, you know, disaster happens. So it's super, super important. And as AI, how whatever what is the impact? And I, you know, mark this portion here. It enhances operational efficiency, you know, makes it faster, reduces costs, I e, reduce manual work, builds resilience, and, of course, those transparency. So you also need to know, you know, who are my good suppliers and so on for your ratings and things like that. That all plays into, the supply chain collaboration. So and for sure, it's always important to see what is going on real time. Real time means, you know, it means that it needs to be systems, who, you know, transfer data back and forth. Everybody can look into it at any given time on the customer side and the supplier side. So let's define a goal here, a very important goal. Mishi, one click. We need to connect all suppliers and completely automate, the procurement document exchange. So if you only have, I don't know, half or two thirds of your your supplier connected, then you cannot achieve the goal here. And this is, what we are all about. So we move on, please. Alright. This is, how checker comes out of the box, so to speak. So on the left side, the customer side, customer using Jagger for all their s two p processes. Very important portion for sure is the procurement portion, which which we, focus on today. But Jagger does the whole thing from a to z. Typically, Jagger is connected into a back end. For example, SAP is a common one in the manufacture world, and Jagger provides a portal a supplier portal, more or less, free of charge, quote, unquote. It's available without, you know, any, you know, extra purchasing. And this provides all the capability suppliers need from receiving RFQs, from uploading contracts or looking on contracts, uploading certificates and whatnot. But, again, also very important here for sure, procurement side. Procurement side meaning purchase orders, shipping notifications, invoices, and so on. So all of that is available. Suppliers are notified when a web summit purchase order gets created over here. It will be sent out to the portal, fully automated. Supply gets notified, and we get an email that says, hey. You know, log in to the portal and download your purchase order. Now that's fine and good. However, if you are a supplier that is a bit bigger and you receive more than, I don't know, a hand handful of POs a week or a month even, then you do not wanna do that. All of this is manual work. Right? So you have to to get an email, you pick a link, you log on, probably you have forgotten your password, and, everything else that comes with a with a login. So it it's a it's a manual work and cost some time. Now for big suppliers, this is now where GDP comes into play. That's EDI. One click, please. That's EDI. As all of you know for sure, EDI is not a new technology. It has been out there for, I don't know, forty years or something. So it's very common in the market, and EDI completely automates, the exchange of those purchasing documents. GDP off the shelf is integrated, with Jagger. So it's a back end integration. It's already there. It just needs to be, you know, turned on, and it can be turned on per supplier. So, you know, the checker admin on the customer side, they can decide, well, these five suppliers, they have them on the portal and the other 10 here, they go through EDI. So it's very easy to switch it on. And it can even be, you know, regulated, verifying, you know, in terms of which documents go through the eye. Not all of them, might go through the eye on only a portion of them. So it's easy to use. It's already there. And now your big suppliers receiving, you know, hundreds of thousands of documents, we heard Miki say, you know, some of them exchange a million purchase orders in a year. Imagine, those suppliers, receiving a lot of them doing all of that manual. So this is, how EDI comes into play. Having that, it's now fully automated from back end to back end because, for sure, also on the supplier side, they also have integrated their EDI, into their back end. So let's say let's have two SAPs here. Typical, use case and manufacturer, they do, so called MRP run-in the night, looking ahead in the next week, what do we need in terms of parts? That run spits out a list of purchase orders for all of the various suppliers delivering these parts. Checker automatically distributes them. Portion goes here, but a portion goes here. The ones receiving it through AI now fully automated, take all the purchase orders and put it in their packaging. So nobody's touching it end to end, fully automated. And somewhere in the middle, you know, there's a the buyer or the category manager looking at it. It's a bit in no case. Everything going good. So fully automated. Now these two groups of suppliers, the top ones being, you know, smaller ones maybe, and the bottom ones who is in ADI being the big ones, this leaves still a group of suppliers who don't fit with those two technologies. Some of them might simply, let's call it, refuse to use it because they say, well, I have 50 portals, you know, to handle. I I I cannot do that or then they might be, for other reasons, not, able to to use the portal. So what they do is they send all the returning documents, like, for example, purchase order confirmation. They send these return documents in an email, and there is a lot of them. When we talk to our customers about, that issue, most of them talk about hundreds of suppliers who still send emails. And now you can start to, you know, force them to either do this or do that, but it will be, you know, uphill battle. And this is why we came up with, a solution for that. One click, please, Mishi. Which is our AI plug in. So this plug in can read the emails coming in from the supplier side, with the responding documents. Responding documents can be purchase order confirmations, can be shipping notifications, can be invoices, whatever comes in from the supplier side, as as a an attachment to an email, you know, goes into this plug in. Plug in reads the contents and, creates an orderly formatted EDI message and then passes the EDI message onto checker. So on the checker side, we still have only two, in and out ports, so to speak, portal and EDI. But now on the supply side, we have opened up the third way, so to speak, and, this allows us to finally have everybody connected. And if we think about, I don't know, a third a third a third, then, again, it's a lot of, lot of suppliers. The one we talk about later, SIG, they have 200 of them. Another one we talked to, they said we have 900 suppliers still sending us emails. So this really, fills a big gap. So, Wolfgang, then how does the GDP AI plug in differ from traditional OCR when it comes to handling those messy documents? Yeah. Thank you for the question. Perfect segue. Mishi, can you do one click, please? So talking about attachments to emails. Imagine you have, you know, mom and pop shop out there, in the country. They get a purchase order, print it out, and hand right on the purchase order confirm confirmed. And then they, you know, throw some coffee on it and combo it and take it out again of the trash bin and scan it and send it back. Might be a bit extreme, but believe me, we we have cases like that. And our AI plug in can read that. It understands that. OCR is, let's say, a technology that has been used for a long, long time, but it's difficult to handle because you have to it's it's a piece of software that that that you have to tell exactly what to read where. So per, you know, supplier, you need to tell them where CPO number, where's the delivery date, and all of that. And it's very finicky. It's a lot of work to to get it to work. Now AI is amazing. Really, we we ourselves are so amazed. It it it's really, if a human can read it, like, we look at it. Right? It's like, alright. I understand. AI can understand it too. It's an amazing technology. And using AI, there's no training needed, no nothing, everything that comes in it. It can be attached PDFs like this one here, but it also can be attached, I don't know, extra sheets or even in an email body handwritten. I, you know, confirm all of that. It really understands and and and makes it easy. Wow. Very impressive. Question answered. Yeah. Very impressive. Alright. Let's move on to the next one. So at a certain point in time, somebody, you know, who signs the checks will ask, well, what does it cost us and what do we get for it? Right? So at the end of the day, purchasing this technology, we got some money. And what is the ROI? So and I think it's a very, very simple calculation. If today you look at how many documents come in via email, Again, purchase order confirmation, shipping notifications, invoices. How many of them come in via email? Let's say, we are sent we as a company and the customer side now, I send out 20,000 POs to those supplies in question here. And there might be multiple line items, right, to a POs. So maybe 40,000 order confirmations come back via email. And that is a totally realistic number. Everybody, you know, we work with and and we we talk to about this. They tell us, like, yeah, for the easy fifty, hundred thousand, more more. So that is a realistic number. Now you get the email. I'm a buyer. I open the email. I look what it is. I download the attachment. We got the attachment. Going to Jagger or even directly into my SAP, hunch in what I read here. Hopefully, I make no mistakes. Mistakes. Right? That takes me five minutes. I would say easily per email, maybe more. And now, well, what does five minutes cost me? Let's say $30 an hour, average salary. One email cost me $2.50 multiplied by 40,000, a $100,000 right there. So it's a very, very easy r I calculation in my opinion. And, yeah, easy explains why it should be a no brainer to adopt, this technology. And the next and last slide for me before I hand over. So I copied me his slide here. No. Hackett's slide, from earlier. What are the goals, that CPOs have in 2026? I would say at least four of them, is where we can help. I'm not saying we solve one of problems, but a little bit of it. One thing super easy to understand, ensure supply continuity. And this is super, super, super important because if I do not know if the parts I need next week to build my products arriving at the right time at the right place, if I don't do not know it, then this is a huge problem. Right? So having all suppliers connected into my, you know, automated, document exchange, having them all connected helps to ensure the continuity. Well, if we deploy in an I n enabled technology, then we check this box too. Take a digital transformation, getting rid of manual work, getting getting rid of wasting time and making errors when reading and manually typing stuff in. That's another one. And for sure, you know, if you save a ton of time as as, told before, it is the hundreds of hours that for sure, helps with improving velocity. And, also, I mean, you could argue the others, like, agility also. So, I think this technology helps, our potential customers to achieve CPO goals in 2026. Thank you, Wolfgang, for the great, theoretical view of of our of our offering and of our AI product. Before I move on, I just have a a quick note here. If I would, be a customer, receive a PDF with coffee on it, which looks like it wasn't ready in the basement for one week, it's perfect that the I can read it, but I will think about replacing that monsobel air because it looks like he's he's not working like this. Just just just a note from my side. If you can move on. That both of them show you the really great overview of our our yeah. Plugged it directly, and I will move on with a with a great sample of one of our customers from the first hour, Six SENSE Intelligence. They're one of the global leader or technical leader of sensor technology for industrial applications. They have more than 11,000 employees all over the world. You know, you see here with 63, communications. And also the success story between GDP and SICK in is also great. We're working with them, I think, almost since the since the first day together. And in EDI perspective, we have connected them in 14 countries with over 400 processes via EDI. In average, that's more than 40,000 transactions per month. And as there's still a very, very high number, 40,000 EDI transactions, they still have all the very high number of order confirmations and other PDF documents or other emails, what they get daily via email. They implemented a OCR solution, some years ago, where they were hoping to automate it completely. But as you see, they are still working with our AI solution today because, as Wolfgang already mentioned, there are a lot of benefits replacing the OCR solution, which was state of the art the last year. That that would be for sure. But today, OCR is not state of the art. It's like state of last year. Let's say it like that. How do we roll out the AI plug in? Maybe you're not thinking about why is and we have so many EDI processes, in place and also AI. Why Myrtle was part of the big three customers with the most savings for Microsoft? Because they started rolling out in '26. So I'm pretty sure next year, when Microsoft is showing the 26 slides, it will be one of the top three customers with the most savings. That sounds good. So we started rolling out this in February. We started implementing it already last year, but due to some reasons because they had the OCR solution in place and that needed to be replaced, after '25, We started rolling out this year. And as Volker said, you don't need to train the EI for every different PDF layout or you need for OCR. We're able to roll up 100 flyers on the same day. So it was just after a short time of, let's say, development. It's like, yeah, implementation phase and testing. They just made a switch, and we took over their mailbox where they received all the PDF documents. And, yeah, as you see, February 26, we started and we're still talking about, so it's pretty sure a success story. And the goal is to process 17,000 documents a year in this first roll up. That's 35,000 order positions just with order confirmations. And we also see here a fourth, extraction of the sick benchmark. So that's not from us. That's what they share internally about the benefits, what we have here, especially when you compare it with the existing OCR solution. Of course, I think it was mentioned very several times. You don't need to teach the AI for every different PDF layout. For example, I think, you know, how many suppliers, Sikkad, when it's about changing their ERP system, they're also changing their PDF layout. So every time when a supplier is changing something in the PDF, you need to invest another two or three hours or maybe there are more than three hours to learn the OCR to be able to process it. For the AI, it doesn't matter. So you will not even notice that the PDF file is completely different. The actual Excel files and email bodies. So even if there is no attachment in the email, the supplier is just confirming the email and say, hey. Yeah. I'm confirming it's pure and I'll deliver it on the date. Yeah. I can read it and import it to check out completely and to notice. And I think that's also working with, OCR, to be honest, to process multiple order numbers per documents. So we don't care if you're sending confirmation with 100 purchase orders in it and the PDF has 100 signed. So that's completely fine. And one big benefit is we are completely independent from language view. So if the supplier is sending a PDF with only Chinese symbols or Hungarian language or whatever, the AI can read it without an issue. So no need to implement anything, develop anything. It's just working. And, also, really complex complex logics are possible. That's also a big benefit. The eyes are not only extracting information. It's understanding the document. For example, we had a we had we'd sync a sample where a star was sending not the request that delivered it from the from the customers. The customer wanted that just to deliver it, but the supplier sent the shipping date. And on the the last part of the PDF, very small on the bottom, the supplier wrote a note which says the delivery date is three business days after the shipping date. And the AI was understanding that and was calculating the delivery date completely automatically because we chose the ad. We don't want shipping date. We don't want delivery date. And based on the actual calendar, it's completely calculated automatically the delivery Yep. And when you go to the next slide, Max, we have a summary of the key takeaways. It's just a short summary when you talk about, what benefits you have when you implement EDI or AI or even Jagger and all. And we have the quick success. As we said, we target, a project time for about three months. So when you contact us tomorrow, we hope to be ready to go to production within the next three months, so June, something like that. So you don't have this with any OCR solution, what you need to implement really inside the European really fast here, and just the the efficiency gains really quick. That's a setup for all the players. So if we set up it once, you'll be able to use it for all the players all over the world. We use a couple for testing, but you can implement more and more multipliers without even informing us here. And, yeah, I think that's the same point, scale of the solution. Grow as you go, you can add as many as you want. The big AI advantage is also it protects your data. So in the end, because I'm pretty sure this this question will raise up, we don't use the AI, for, any particularly. We our solution is fully GDPR compliance. All personal data, because on this document, usually, this personal data on it, is handled securely and in line with any GDPR GDPR requirements. And, also, for applicable European Union EI requirements, we make sure the EI service meets both data protection and regulatory standards. And, of course, I think as Wolf can say that that's that's like our slogan here because when somebody asks us, can the AI process it? Can the AI read it? We always ask, can you read it? And if a human can read it, the AI can read it too. But sometimes, all the human can't read it, but the AI can't. Just want to mention, we already have samples where customers send us, like you know, they they try to to find samples what we cannot process. If we implement something, of course, we don't use the simple samples. We use the hard ones. And it's, like, challenging for our development team. Every customer wants to tell us and say, okay. You can never process it. You can never process it. I I cannot understand this even myself, but the AI understands it. And because, for example, if if a delivery date is cut from the last side of the page, the AI tries to understand it and, like, calculates that delivery date, which makes sense. And, of course, the business relationship is is big improvement because you can also use it for suppliers with few documents. Imagine you have thousand suppliers where we have not more than 10 purchase orders a year. But when you calculate it, there's still 10,000 purchase orders, but with just large numbers of suppliers with few documents. You would never invest five hours per supplier to, train the OCR solution because five hours training for 10 documents is never loaded. But with our AI solution, you don't need to invest a second for a supplier you can process the moment. And, of course, the no interruptive of supply chain, RAI is working twenty four seven. It's not sick. It's not going on vacation. You can, like, import the, the order confirmation you receive on Saturday evening, all of the data used and information immediately in your EAP system. Yeah. And when you or your company is using Jaeger and you are a part of the top three customers from Michael, with the big savings, I think it's definitely time to contact us because almost all of them already have the AI solution in place. So, Chris, just before we move on, can you explain the language the multi language capability a bit more to me? What if a supplier translates, the name of NICE into Chinese or there's a a mixed language document? It's not about really about translation. So you will not get a Chinese document and we will not translate it to German or English, But the AI can understand it. So imagine if, a German customer let's let's use sick. If they're getting all the information from a Chinese supplier, it's completely in Chinese. A German worker who would like to insert this data into SAP SAP would never be able to in order to change because they're not understanding it. Mhmm. But the AI understands it. So the AI knows, okay. This is the delivery date. This is the price. This is the shipping address and so on, and it will import that completely automatically. So you still have the shipping address in Chinese, but you have the correct address in the ERP system. So we're not changing the data, but we're understanding it and importing in the correct way. Brilliant. So it's yeah. If if even if a person can't read it, the AI can't. So Yeah. Brings you back to that original point. Definitely. Yeah. Fantastic. Thank you. Okay. I think, Michael, we can go to the last q and a slide. Brilliant. So we have some presubmitted questions from our audience, and I would love to get your views on them. So our first question here, how does the AI ensure data privacy? Is it using public AI that learns from our sensitive procurement data? Chris, if I throw this on to you. Of course not. We get the question with every, with every new customer that, of course, the AI is not, learning from that PDF. Of course, if you upload the PDF into JetGPT or Google Gemini, the free version, the AI does. So if you're uploading it, then I'll ask for the POI within the JetGPT. I might get even an answer that will do the PDF. But, of course, here, with our AI solution, that's not the case. So our AI solution is completely GDPR compliant. So we have contracts with the global, AI, AI, providers like Google. We're we're just using the big one system first. The big ones have data, privacy, data centers in European Union or in The US depending where the customers use it, and they have specific models and specific contracts in place, which make sure they're not, using that information to learn. And further on, we are already developing a local model and self hosted model as the next step for the next years and to have everything on our servers without even access from from any third party. But from today on, we're using, models which are completely cheaper, compliant, and they're using any anything for learning. Fantastic. I'm sure that'll be a big relief to our our listener there. Wolfgang, I have a question for you here, and that is for a CPO looking to build a business case, what is the single most important metric to track in order to prove the ROI of an investment? Yeah. I think I'll go back to my one ROI slide. My opinion, it's all about eliminating manual work. Every time when you have an employee sitting there and doing, excuse my friend, stupid stuff, repeating again and again and again and do it manually, a, costs money, and b, it's prone virus. You know? You can mistype and whatnot. So if you want to, you know, save money as a CPO, eliminate manual work and let let the magic happen. And our final question here is for you, Michael, and that is, what is your one piece of advice for a manufacturer that's still relying on manual processes in their supply chain management? Yeah. The advice is first talk to us. Yeah. We have solutions for many, many customers. Successfully implemented that for thirty years already, and it's really it's a game changer. Yeah. You can automate so many processes, yeah, from the ERP to the supplier and backwards in a full automated way. And we have tools which can do that on an EEI way. This is especially relevant for those customers who have the technical expertise and the technical knowledge to do that. But with this new AI plug in, we can also support the Tainspan suppliers, the smaller suppliers, who are not so sophisticated yet, yes, and they still rely on PDFs and emails, and we can also integrate them in the right way. And this is really a game changer and exactly what Wolfgang just said. It will save so much time. Yeah? And this is from an from a process cost savings perspective, absolutely traumatic. Yeah? And you can do much more with less, and this is also my slogan here for this webinar. Brilliant. Well, thank you so much. That that brings us to the end of our q and a. And, unfortunately, that brings us to the end of our webinar today. A huge thank you to Harold Wolfgang, Christophe, and Michael here for sharing your expertise on the evolution of autonomous procurement. The recording of this webinar will be available shortly on the BizClick platform, so you can share it again or you can just share it with your teams. If you'd like to learn more about how Jagger and GDP are transforming manufacturing workflows, please reach out to the team members directly. They are on hand to answer your specific questions. So thank you for watching, and we'll see you again at the next one. Bye for now. Bye bye. Thank you. Thank you. Thank you. Bye bye.