Learn Worldly Axion: AI-driven risk and impact intelligence webinar video (1 hr)

Welcome, everyone, and thank you for joining today's workshop on Worldly Axion. My name is Leah Jaggars, and I'm the senior education manager here at Worldly. Whether you are brand new to Axion or already using it, the goal today is to help you understand how Axion supports real decisions across risk, impact, and sourcing. Before we get started, here are some logistics for the session. All attendees are muted for the duration of the webinar. There will be time for questions at the end of the presentation. So as you have them, please submit them into the Q and A box so that they are captured. Any questions that I cannot get to during the session will be answered in a follow-up email as long as they are submitted through the q and a box. This session is being recorded, and I will share the recording with all registrants afterwards subtitled in multiple languages. There are machine generated closed captions in English and multiple translated languages available through the CC icon. So here is the agenda for today. First, we'll do a brief introduction and kind of answer the question of why Axion. Then we'll go over navigation just to get you acquainted and oriented to the platform. Then we'll go over a few different scenarios that Axion can help you with, and then we'll get into the demonstration. Today, the bulk of the material today will be with demonstration. I also want to mention, addition to having time for q and a at the end, if you are able to log in to your Worldly account, I highly recommend doing so, and then you can follow along during the demonstration portion so that you can see how your data displays and what different things you might be able to gather from what you're seeing. And then you can, you know, ask more relevant questions to your specific circumstances. Alright. So let's talk about why Axion. Companies need better insight into climate and resource risks because these risks are already creating material financial and operational impacts. Climate change is not just an environmental issue. It is a business risk. Without sufficient adaptation, a slow transition could lead to trillions of dollars in lost economic value over the coming decades. With Axion, companies can see which regions and facilities are most exposed and adjust sourcing strategies before risks turn into financial losses. Climate related disasters are also becoming more frequent. As extreme events increase, supply chain disruptions are more likely. Axion helps teams identify supplier facilities in disaster prone regions so they can prioritize resilience investments and continuity planning. Risk exposure is not evenly distributed. Facilities in lower income and emerging economies are often significantly more exposed to climate hazards and have fewer resources to adapt. Axion surfaces these vulnerabilities directly in supplier level insights, helping sourcing teams make more informed, risk adjusted decisions, and strengthen supplier engagement. To get decision ready insights, companies need to work with more data than ever before. The challenge is that bringing all of this data together requires expertise across climate science, supply chains, and business operations, as well as significant effort to manage and align data for many sources. Today, climate risk and transition planning are still poorly integrated into strategic decision making. Many legacy models rely on static or anecdotal information, focusing only on the past or present rather than anticipating future conditions. This creates a gap between the risks companies face and the actions they take to manage them. From a sustainability perspective, companies have traditionally relied on trusted facility level data to track progress and decide next steps. That approach still matters, but climate adaptation now requires a risk based lens. Companies need to combine what is happening at facilities today with predictive data about future climate conditions and understand how those changes could affect their operations and performance. Managing and connecting all of that information is a major challenge. From a risk management perspective, many assessments still rely on high level regional or country data. These approaches often overlook what is actually happening at individual facilities, including whether adaptation measures are already in place. Without facility level context, companies may underestimate risk or miss opportunities to strengthen resilience. This is where Worldly Axion comes in. Axion brings together granular verified facility data with dozens of external climate, risk, and market datasets. By combining artificial intelligence, contextual intelligence, and deep expertise, Axion provides a more accurate and actionable picture of supply chain risk and opportunity, helping companies prepare for the future with confidence. At its foundation, Axion uses the most trusted primary facility data available. Companies already collect valuable information from their suppliers, such as energy use, carbon emissions, water use, and production activity. This data provides a reliable picture of how the supply chain is performing today. Axio then layers this facility level data with broader regional and global context. It integrates dozens of external datasets that capture how environmental, climate, energy, and economic conditions are changing over time. This includes information on energy systems, electricity grids, water stress, climate projections, market dynamics, and policy trends. To make sense of this complexity, Axion leverages advanced analytics and AI to rapidly analyze large volumes of data and identify patterns that would be difficult to see manually. This allows Axion to consider factors such as energy pricing, renewables availability, climate exposure, and operational conditions together rather than in isolation. This approach also supports emerging regulatory and reporting needs. Provides the physical and transition risk insights required by frameworks such as CSRD, IFRS s two, SB two sixty one, and TCFD, including climate scenario analysis and supplier level insights that can feed directly into materiality and risk assessments, saving time and reducing reliance on expensive one off consulting work. Axion also helps teams pinpoint where to reduce impact and mitigate risk. Because sustainability budgets and resources are limited, companies cannot engage every supplier equally. Axion identifies which facilities are best positioned for improvement by combining facility performance with regional risk intelligence, allowing teams to focus where action matters most. To support this prioritization, Axion's assistant provides targeted guidance from high level strategy down to specific facility actions and highlights regions and facilities that are more ready for decarbonization based on grid conditions and renewable energy availability. Axion Assistant comes with Worldly Axion and is a built in guide for turning supply chain sustainability data into action. It helps teams quickly identify and validate decarbonization opportunities, analyze facility level carbon and energy performance, and receive tailored recommendations. With agents trained on facility performance data, climate risk intelligence, and industry best practices, Axiom Assistant makes it easier to prioritize actions, compare options, and engage suppliers with clear next steps. Instead of sifting through spreadsheets or static reports, teams can simply ask questions, like where renewable energy adoption will have the greatest impact and get instant actionable answers to drive progress with confidence. Alright. So let us go ahead and talk about navigation. Axion presents insights through a few key views. So we're going to talk through filters, KPIs, hotspots, facilities, scenarios, and Axion Assistant. You do not need to use all of these views right away to get value. Most users start with one question and then build from there. So first are filters. If you're familiar with Insights Hub, this should look pretty familiar. Filters allow you to narrow the scope of data to specific groups or subsets. For example, if you only want to look at facilities from specific countries or who have verified data, you can filter using the options on the left. These filters apply across the tabs so that you can analyze your data easily. Some of these filters I also want to mention come from different user defined attributes that you can see in this bottom section. There's more if you scroll down here, which I'll show you during the demonstration. But those are going to be things like tags, different campaigns, or cadences that you might be communicating to people with. So just something to think about as you're setting up your segments and campaigns for this cadence that if you want to look at a specific sub subset in Axion, that can also be something to think about as you're getting those set up. Alright. Next is cap KPIs, so key performance indicators. These will show you a snapshot view of performance. You can select different impact areas or topics using the drop down menu in the upper right to see the KPIs associated with each area. This drop down menu will also save, like, across the hotspots page. So I'll show you how that works. But that way, you can analyze, you know, the same topic at the same time across these different views. Hotspots help reveal patterns and concentrations of risk or impact. And I do not want you guys to sleep on the hotspots page. There's tons of data in here. I'll show you how you can scroll down and use the map and everything. But this is super helpful and really gives you, you know, a a good head start on where you should narrow your focus. The facilities page supports prioritization at the facility level. So on this page, it's basically a big table or list of all of your facilities that you're currently tracking with some key pieces of information that you can then sort and filter to narrow down your scope. You could also access that direct kind of facility profile view as well from here. And then finally, scenarios allow you to explore what if questions. So the scenarios page takes your facility data and then also applies those future forward looking models such as, you know, what does carbon pricing look like? What if your facilities were setting targets? What would that look like over time? And some different risk scenarios. So we'll talk through some of that as well. But these this is great for, you know, future planning. What do I want to do next, you know, what areas might I want to shift to or shift focus to because of x y z reason. Alright. And Axion Assistant supports you throughout the platform. So this is available in the upper right hand corner when you're in Axion, and this is the assistant where you can ask questions. It does have access to your facility data, but I do want to note it doesn't know what page you're looking at. So, you know, you can say based on, you know, renewable energy results, where should I focus my attention? But you wouldn't be able to say based on what I'm seeing on screen, what should I do? So we'll talk through some of that, but it's super helpful and helps you you know, it acts like an assistant. So it's not going to make decisions for you, but it will help provide guidance. Alright. So let's talk through some different scenarios. So what I'm going to do is I'm going to talk through four different scenarios that Axion can help you with. And then at the end, there's going to be a poll asking you guys which one you want to see first. First. So just be aware of that as we're going through. I will have kind of a slide that shows all four scenarios, so, you know, as you're choosing. But just as I'm talking through them, keep that in mind. Alright. So the first scenario is I want to have a high level understanding or understand a high level risk across my supply chain. So these are going to be things like, you know, what suppliers have high production volume, which generally means that's going to have big impact. Maybe you want to concentrate on those that are using coal or those that do not have carbon targets. That combines with the risk intelligence information with carbon costs, grid decarbonization rate, REC availability, etcetera. So in this scenario, you might be able to narrow down to, you know, these regions and facilities are the most conducive to electrification, whereas these other facilities need to prioritize EACs as they work on decarbonization targets appropriate to their regional and country context. So what does my performance look like at a high level, and then how can I start to narrow that scope? So this might be in the context of carbon. It might be in the context of water, but kind of getting that high level and then starting to narrow. The next scenario is I need to proactively manage and mitigate against climate disruption. So this might be you need to identify and address vulnerabilities before they actually disrupt your operations. So this might be facility level environmental vulnerability, for example, based on how much groundwater extraction they use versus recycled water. Maybe they're in a particular, heat stressed region and do not have air conditioning. So there's different things that you can look at within this context. For example, maybe some regional hotspotting to pinpoint where exposure and vulnerability is highest, and then you can focus engagement on the facilities with the greatest operational risk. So if you've ever had climate related disruptions impact your suppliers in the last few years, this might be something that you want to focus on so that you can, you know, know where you can focus your efforts to make the most bang for your buck. So at the end of this, maybe there's you know, we can identify these five facilities have high risk for water stress and drought in the next seven years. Therefore, we're going to collaborate with them to install more water efficient equipment, on-site water storage, and water recycling and rainwater harvesting plans. Alright. Scenario three is I need to get ahead of risk at the supplier level, not just react to it. So this is really narrowing in at its most, you know, unique specific facility and going, okay. What are they facing? What kind of targets do they have? What kind of vulnerabilities and risks do they have? And what will that look like over time? So you'll get specific contextual facility snapshots that help sourcing teams see operational impacts in the future. It also combines it with country level metrics that bridge the gap between regional strategy and supplier engagement, and it provides a fact based starting point for joint planning with suppliers. So you might be able to, you know, start wide and then narrow in. And then, you know, as an example, maybe you have a supplier that's based in Bangladesh, which is strategic, so it has a lot of production for you with many workers but does not have climate control. So that might be something that you can really narrow in and focus on at a facility level. So, again, scenario three, you need to get ahead of risk at the supplier level, not just react to it. And scenario four, I need to understand my supply chain opportunity for business planning. So this is taking your supplier data such as your carbon intensity, production volume, any reduction targets, location, etcetera, and combining it with that carbon scenario analysis on your specific supply chain facilities. So, you know, what is carbon pricing going to look like in the future for this region? What if we have a net zero twenty fifty target that we set? What will that look like in the future? How will that affect things? And it will also enable finance ready ROI conversations, not just sustainability reporting. So you'd be able to say, okay. We can project emissions, the energy mix, carbon price exposure, etcetera, so that you can say, hey. This area is at risk. We need either need to make improvements or maybe we need to make a change in our strategy here. Alright. So those are the four different scenarios. So I'm launching a poll. You should see it on screen. Which scenario would you like to see first in the demonstration? Scenario one, the risk overview. Scenario two, disruption analysis. Scenario three, supplier analysis. Or scenario four, scenario planning. And I'll give folks a moment. So I'm going to go ahead and end the poll. And it looks like we have a clear winner, and then the rest are a little bit neck and neck. So I'll start with a risk overview, and then I'll go to scenario planning, and then we can talk about disruption and supplier analysis. So thank you so much for participating. Let me go ahead and stop sharing that, and let's get into it. So I'm going to pop out of here and hop over here. And, actually, let me open up just the regular page so you can see what that looks like. Let me go in here. But yeah. So if you are relatively new to the platform, once you log in, this is what it'll look like. In the upper right hand corner, this is where you can access your different accounts. So if you do belong to multiple accounts, just be aware of that. You can switch between them here. This is also where you can join more accounts, or you can view your subscription, view your team, etcetera. Next to that is the world icon. This is where you can translate the platform. The question mark icon, this is where you can get all of the support and helpful resources. So help center is going to be where you find written resources as well as short videos. The learning center is where you can access e-learning courses. All e-learning courses are available to all users free of charge. So as long as you have a Worldly account, you can access our e-learning. And there's quite a bit of content, so both deep dives into our products as well as other sustainability topics as well. So definitely check that out. You can chat with our support team, or you can submit a support request. And finally, sometimes you might see a little alert here next to this bell icon. This is where you can see notifications. We are not pushing anything out right now, but this might be where you saw the registration link for this webinar. So make sure you click on those if you ever see a little alert there. Alright. To access Axion, you'll go to insights and then go Worldly Axion. But I already have it open, so I'll just pop over there. When you first get to Axion, it will show you this overview page. This is just to get you acquainted. So you can kind of flip through here if you would like to kind of see an overview, but I'm going to go ahead and hop into KPIs. So for a general kind of risk assessment, where do I need to start? What should I even focus on? A couple things to remember. On the left is where you can filter. I highly recommend starting unfiltered to get acquainted with your data. You may already have a hypothesis that you want to dig into. If you do, feel free to filter. You know, you can play around with it like that. At the bottom, you can change which year you're looking at. If you want to focus in on a specific supplier, this is where you can select the account. I want to mention one of the things about staging. This would read in your platform as, like, your supplier name. So that's why these are kind of funky, like, not realistic looking. This is also where you can filter cadences as well as tags. In this example, we have tagged tier one suppliers and then tier one strategic. You can also filter by verified data, type of factory, etcetera, as well as location. All of these filters are select both and, so you can multi-select. You can also, you know, select multiple different things, and it's going to narrow that down even further. So I'm going to go ahead and unselect just for the sake of our demonstration right now, but just know that those things are kind of mixable in that way. Also, at the top here, this drop down is where you can flip between impact areas and topics. So I highly recommend just for your kind of first outing, if you do not know where you should concentrate at all, go through all of these sections. If you already have corporate goals around decarbonization, around energy, around water, go ahead and go to those individual sections. I'll kind of go through each of these so you can get an idea of the data that's available. But I always say, you know, kind of get that wide, broad overview so that you can understand, you know, where you should be looking at next. Especially, like, heat stress and extreme events, that stuff is less less obvious, like, from FEM data. Right? So, like, you might not have that information front of mind, so that might be something to explore. And then right next to that is the assistant as well. Okay. So I am in carbon. I'm looking at my key performance indicators. I can see kind of these high level metrics. The boxes below each metric is showing you the change from last year. If you ever see that this is grayed out, that just means that there is no previous year to compare against, whether that's because you don't have data for it or because, you know, it's, like, from twenty twenty one, so the version of the FEM doesn't align. Just be aware of that. Next to that is the difference from the benchmark. Benchmarks are based on all submissions in the system. That's important to understand because in some cases, for example, energy sources, water sources, water stress, those types of things that can be very regionally specific. So if you want to see benchmarks for your Chinese facilities against facilities also in China, you can filter this to see the benchmark. So just be aware of that, especially as you're starting to narrow down. That can be super helpful as you're like, okay. I have this issue. I've identified it. It's like this particular subset of countries, you know, then you can select that there. I'm going to keep it unfiltered for now. You can see how that changes and how that changes, you know, that subset of data. So we've got overall emissions. For all of these, you can view where like, what that represents, what that means, and then also where the data is coming from. So most of the data that's about your facilities is going to be coming from your FEM. But other things such as if I go into the extreme events is going to be based on those other datasets that I've mentioned before. And, hopefully, staging likes me today. Sometimes there we go. So for example, you know, this wind risk is coming from these particular datasets. So that's how you can kind of see, you know, what am I actually looking at, try to make sense of the information, and then get more information. The other thing is that in I believe I have it shared. I forgot to mention I have the resources. Let me just reshare all of those with you guys so that you can see them. So sharing the methodology, it should pop up at the bottom of your screen. Within that little resources section, if you click on that, there's also the assistant methodology and then the Axion help articles. I'll also be linking these to you in the follow-up email. But just in case you wanted to kind of preview those now, you can access those there. So that's this information in the little eye icon is kind of a short version of what you might find in the methodology document. Alright. So let's go ahead and look at carbon. So for all of my facilities, I can see that energy sourced from purchased renewable electricity is not doing very well. I can see that I'm using less of that year over year compared to last year, and I'm trailing the benchmark in this regard. So I might want to focus on that. I can see that I'm also lagging a little bit on on-site renewables, but I am improving in that group from last year. So I think I'm going to concentrate on this renewable energy section as far as where it comes to carbon. Carbon and energy are going to be very tightly related. So let's go ahead and pop over there. Okay. Now I'm seeing overall energy. These are all pretty good as far as, like, comparing against myself as well as the benchmark. But I can see that I'm struggling a little bit, not too too much compared to previous performance, but still sourcing from fossil fuels. We can, again, see what that means. So natural gas, coal diesel. And then I'm also, you know, still showing that I'm lagging in renewables. So as far as decarbonization and energy, renewables and increasing that maybe offsets, that might be where I want to focus my efforts. We will come back to water heat stress and extreme events. But just to kind of talk through what I'm seeing here, let's go ahead and hop over to hot spots. And you can see it's still keeping the energy. If I still had something filtered, it would maintain that filter. And if I scroll down here one thing to be aware of, I'm on a little bit of a smaller screen right now, so just be aware that you can scroll to the side here. And the scroll bar is going to be at the bottom. So depending on what kind of computer you have, just be aware of that. But here, we can see regional hotspots. So I'm seeing all of the countries that I have facilities in, the number of facilities that I have there. Again, you can click here and kind of see this high level description of all these metrics. So if, you know, these are newer to you or something that you're not as familiar with, this is all available right here. So I can see that most of my facilities are concentrated in China, but China, Vietnam, and India are kind of my top three. If I kind of look at, you know, this first chunk of facilities, again, I want to look at renewables. Right? That was what we saw in the KPIs. I want to increase renewables, ideally decrease fossil fuels. So I can see facility fossil fuel use. Okay. Thirty two percent of my Chinese facilities are using fossil fuels in some way. That is a lot of facilities potentially, though, to concentrate on. So depending on your bandwidth and your, you know, supplier engagement program, that might be where you do want to concentrate on, or you might want to concentrate on a smaller population. We're still kind of in information gathering phase right now. Vietnam is next, but they're not quite using as much as what we see in these other countries. India, same. It's not great, but not terrible. But I can kinda see this dark one in Bangladesh. That's actually a pretty reasonable number of facilities also to do an engagement campaign with. So I might concentrate there to start just as kind of an experiment. But let's kind of keep learning and absorbing this information to see where we should go next. So I can see nobody in my facility list in Bangladesh is using renewables. So, again, might be a place to start. They're using eighty nine percent fossil fuels. Indonesia is not doing quite as well either, so just something to be aware of. As we scroll down, we can also see who's using RECs or EACs. So who's buying those energy attribute certificates to help fund renewables or to offset some of their use. So we can see that Vietnam has a pretty good use. India also does, but Bangladesh, not so much, and China, not so much either. But at the bottom here, we can see what's the maturity level of this area for being able to even use EACs. Because right. Like, if Bangladesh, as we can see, there's not that many available to them. So EACs may not be a great strategy for offsetting this fossil fuel use because they don't have that robust of a system yet that's even available to those facilities. So that might tell you, okay. Maybe I don't want to concentrate there, but maybe we can do something with on-site renewables or something like that. But I can see, you know, in Vietnam and in China and in India, they have more robust EAC systems available. So for this chunk of facilities that are still using fossil fuels, that might be something that I can encourage them or even help them with in order to assist with this. So we're kinda still gathering information. That's, a good way to think about it. You know, highlight, find your dark spots see, you know, what does that really mean? Okay. Fossil fuels, so on and so forth. You can also see how much of the grid is coal. Right? So in China, a significant number or percentage of the grid is coal. So they might not have as much choice to then have other options to purchase renewables. Same thing for India, but Bangladesh has a little bit, like, far fewer as far as coal. Doesn't represent all fossil fuels, but as far as, like, coal, which generally is probably the one you want to get away from the fastest, that information's there. So that's kind of that hotspot analysis here, but there's tons and tons of information here. So let's keep scrolling down. Here, we can see the actual electricity grid mix by country. So if I just want to see Bangladesh, let's see what this looks like year over year. So we are starting in the past. Most of it is gas. As I'm moving forward, an interesting thing happens. Here, we can see that more coal is getting added. And as time goes on, coal is becoming a bigger part of the grid mix. So this kind of gives you information of, okay, something's changing. Maybe that isn't something I can affect, but it's also good to be aware of that as I'm making decisions. So good information. You can also just have all, and so you can see, you know, the current kind of breakdown that's available for all of the different areas that you have your facilities in. As you scroll down, you can also see electricity price trend trends. So there's different scenarios here. These are defined in the methodology, so definitely check that out. But here, it's showing a low emissions net zero twenty fifty aligned scenario and how those will change over time by country. So if I'm looking at my Bangladesh line, as I'm going into the future, I'm seeing that the carbon prices are getting higher, but it's still not quite as high as the one up here. So, you know, things to look at. Maybe you're not going to be twenty fifty aligned, and maybe you just have moderate emissions, and so you can affect that and see how that changes. And then here we have this radio chart that kind of shows how your suppliers in this purple color are comparing against all suppliers. Again, that's all suppliers that have submitted. So if I'm like, Bangladesh might be where I want to focus my efforts, let's see what that looks like when I'm just looking at that specific region. We can see how much that changed. Now we can see that my energy intensity is higher than appears in this region. Renewable energy is far lower than other peers in this region. And I've got energy targets set, which is great, but I'm not really using as many EACs. So this is kind of giving you information. As I saw that overview, I can kind of break down and start to narrow my focus. Additionally, you may have noticed on the side that there's a map. Right now, I have it filtered to just the facilities in Bangladesh, I can zoom in here. And this can also help you give you, you know, regional information. So there's one that's not doing too great right here, but there's one that's doing pretty well right next to it. So, you know, maybe we can learn from this particular facility what what's helping them or what's hindering them, etcetera. You can also click on them from here to see their facility summary. So this will give you kind of that breakdown of all of the different metrics that you can see across all of the different tabs, but specific to an individual facility. It gives you information over here on the side about what type of production they do for you, that sort of thing. And then as you scroll on the right, you can see some high level metrics that are important to the different impact areas, and you can do some different scenario planning specific to this facility. So that's kind of how you go macro and then start to narrow it down. We'll talk about water in just a second, but that's kind of energy. It's very similar for decarbonization. So if I pop back over here and I'm going to un-filter, so now we can see all of our facilities. You can also make that smaller. So if you were viewing that let's go ahead and view carbon. And this is going to be pretty similar in display to the energy section. So, again, number of facilities. Now you're seeing carbon intensity. Again, coal and renewables, and then we're talking about carbon targets. And then it has, like, the prices per ton and then the grid mix information. And then as you scroll down, it's giving you more of that electricity information and then emissions overview. So this is bringing in the different EAC options, coal use, renewables, target setting in this kind of view and so on and so forth. And you can kind of see the distribution of where emissions are coming from. So for my Chinese facilities, most of that is indirect electricity. So, basically, they're scope scope two emissions. But in Bangladesh, it's gas, so direct emissions. So that might give you some different, you know, strategies to approach them as well. So we won't have time to go into, like, every single chart here, but, hopefully, this is giving you an idea of, like, start with KPIs, see what that looks like at the wide view, hop over to hotspots based on what you're seeing in the KPIs and what you want to focus on, and then start narrowing in on the different areas that you want to focus on and start figuring out which population of facilities that you want to start concentrating on. This type of chart is also very helpful because then you can start to concentrate on these outliers. So this is telling me they have pretty high carbon intensity and pretty high emissions. So maybe this individual facility is my first, you know, place to start. And and then you can, you know, see this kind of list view. You can also filter these. So if you want to see it by carbon intensity or see who's using the most coal, you know, based on whatever you want to concentrate on, there's kind of these high level metrics and just, like, yes, no information available for each facility below that as well. Alright. Hopefully, that gives you kind of that high level information. Before I pop back and talk about heat stress and water, just really briefly want to touch on the facilities page. Again, you can filter this page, but this is kind of that list view. And here, something that can be really helpful is just say, okay. Show me high and very high carbon risk facilities. We're also high and very high energy risk and also high or very high water risk and also etcetera. So this will give you a shorter list of, in this case, twelve facilities that have these very high risks for these different attributes that you can then start to dig into. And it also gives you kind of the breakdown of facility type. So if you do see commonalities between them or regions that are common, etcetera, that can be really helpful. Again, risk does not mean that they do not have mitigations. So just be aware of that. For example, let's go ahead and see. So this one has kind of high and very high overall. And let's see. So they're not using EACs, but they are available, and they don't have carbon targets set. So that can be a good kind of first step for them. And then as I'm going down, they do have an energy target set, so that's good. But they do have water risk, but they do have targets, and they're kind of low water users. So you can start to kind of narrow in on those, like, highly impacted or high risk facilities and then dig into their specific kind of scorecard almost to see, okay. Great. They don't have climate control. That's probably what I'm going to want to concentrate on because look at how many heat stroke warning days they have in that region. And that will also help with their social and labor things. Right? So different things to think about there. Alright. With that, let's go ahead and pop back over to KPIs and just talk through water, heat stress, and extreme events at a high level. That was kind of walking through the, you know, carbon intensity at that high level and then narrowing in just so you can kind of get an a sense of what is also contained within the KPI pages for each of these. For water, it's going to be very similar to energy. So usage, intensity, etcetera. But then you're getting into reused water as well as what types of sources it's being withdrawn from. So for example, you know, blue water, you want to probably want to reduce the amount of blue water use in favor of recycled water. So if you're thinking more about water, you know, maybe you have very high dying needs or just have, like, a lot of high water processes, maybe that's where you want to on. So if I were doing a similar analysis, I might start to focus on improving my withdrawn sources percentage and so on and so forth. And then then it also shows you kind of the risk information. And, again, you can always click on here to see where the information is coming from. Similar to water, you also have heat stress. So this is going to be more about the regional context, about the weather and predictive models. So it's showing you your percentage of facilities in high exposure regions. So there's very high high if they do or do not have climate control and then potential productivity loss without climate control. So if that's something that you're concentrating on or, you know, maybe you're also doing a social and labor audit and you want to improve some of those pieces with your facilities from that piece, then this can be something that you focus on. And finally, extreme events. That's going to be wildfire risk, high wind event risk, flooding, things of that nature. So you can see that here. That is also one of those filters that was available in the facilities section. So just good to be aware of that. And, again, if you want to see, you know, compare against a specific region because, you know, Bangladesh versus Egypt, they're going to have very different risks. Right? So this is where you can start to filter as well, and that can be helpful. Alright. So that's kind of those high level KPIs. Hot spots also has different information here available for these different sections. So I'm I we won't have time to go through every single one. But for different things like extreme events, it's going to bring in, you know, number of facilities in that region, number of facilities with a location that's in a risky area, and then bring in that information at kind of a regional context about those different extreme events that we just talked about. Similarly, here, you can see kind of the breakdown here, different types of extreme events, and you can hover and see, you know, what kind of breakdown there is. You can also go by facility type. So if you want to see, you know, the differences there and how they compare or production process. Alright. And then similarly, you have kind of your breakdown here of the different facilities as well. And just popping over to heat stress to give you an idea. A lot of these look the same, but they contain very different information. So I just want to make sure that you know, you know, what's physically, you know, being displayed. So this, you'll see, you know, how many have climate control, number of workers that might be important because ninety five percent, but with almost half a million workers, maybe that's an unacceptable ratio. Right? That represents a significant portion of workers that could be at risk. Whereas if you only have a hundred, you know, or something like that, that might be a little bit different. So and you can see heat stress days, this type of comparison, so on and so forth. So, hopefully, that's giving you an idea. I know we wanted to talk about scenarios, so I want to make sure I give some time to that. So let me pop over to the scenarios section. Alright. So let us continue with the theme of emissions and energy because that was what we are seeing, you know, that I could concentrate my suppliers on. So here you have a few different things that you can select, and then there's also different options here. So first, we've got energy and emissions. I can see kind of my current information and what it's projected to look like with basically no change. I've also got my carbon intensity overall, total energy use, so on and so forth. So if I open up one of these options, you can always, again, click on the eye to see the information and see where the information is coming from. So, you know, this is coming from your FEM data, IEA datasets, and NGFS. So just to be aware of that. Here is where you can select you know, maybe I want to look a bit a little bit further out than twenty thirty because I do want to set those twenty fifty targets. So I'm going to look at twenty forty five, and let's just update the charts to see. So I didn't put any predictive model or anything like that, but I do want to factor in grid decarbonization. And let's say that I want to focus on net zero twenty fifty aligned practices. So I'll go ahead and select those and then update the charts. So you can see that with grid decarbonization and with those net zero targets, the emissions will significantly drop over time. However, let's go to moderate and see how that changes. Alright. Now it's going up. So what was really driving that was those net zero twenty fifty aligned. Now, however, let's say that I know that my facilities also have been setting targets, and that's been something that I really want to encourage them to do. So let's see based on their targets what that will look like if I incorporate that as well. Alright. So I see kind of this dip, but then it kinda evens out. What that tells me is that their targets are not looking all that forward. So I'm seeing a dip from that, probably, the decarbonization. So let's actually see what that does. So I see a dip from their target setting. It was a little bit more from the decarbonization, but it kind of evens out after twenty thirty. So that tells me probably most of my facilities have only set targets that far out. Maybe I want if I'm trying to get net zero twenty fifty aligned, I need to encourage them to look further out. You can also adjust, you know, shares of production. So if you're reducing how much production, for example, that you have in China, and let's say you're pulling this down, These facilities only currently produce fifty five percent of my volume, but I would like to increase it twenty five percent. So let's see what that does. Okay. So I can see that it's going up. So now let's factor in grid decarbonization. What will that look like? Okay. It's still going up, so on and so forth. So there's a bunch of different scenarios that you can play around with here. I highly recommend get kind of your top five either regions, individual facilities, industry sectors, or, you know, tags or what have you, and start to narrow those down in this scenario section. So that's the emissions and energy. In addition, let me just hit reset all on this. Let's say you are not anticipating making great progress. You can just say, you know, limited progress basically stays the same, but just with decarbonization, still going up slightly. So that's not going to be enough to reduce your costs over time. But we can factor in targets. Again, we see a slope, but it's not maybe as much as I would like. Hopefully, that's giving you an idea of how you can play with this. The other thing is you can also play around with energy efficiency. So let's say that that's a big push is that instead of trying to change the, you know, the way that you're getting energy is just becoming more efficient. Maybe that's where you want to focus your energy, so to speak. So if I want to reduce my energy efficiency or increase my energy efficiency by twenty percent, maybe that's the target that I'm setting. You can see how that goes down over time. So play around with this. It's super helpful to start thinking about different sourcing opportunities, different, you know, energy mixes that you could be looking at. What will the cost of carbon look like, you know, over time, etcetera? And you can kinda play around with this. So if you're like, okay. Purchase renewables. I really need this to be one percent. Let's say I'll reduce this to twenty two point one six. I mean, like, a weird percentage. There we go. So let's do that. And you can see how the renewables, you know, might change that. Alright. There's also transition transition risk scenarios. So this is similar in the fact that you have these different options to choose. But this is showing, like, projected carbon costs over time for the different regions, and then you have the option of, you know, if you want to pass on the carbon price or not and how that might look. So let's say that you're going to pass through seventy five percent. Let's see what that looks like over time. And then you can, you know, make these selections, etcetera, and kind of see how that's changing in the different regions and see how the price is going up or down relative to that. In addition and finally, you can also use Axion Assistant. So let's say I want to increase renewable energy use in Bangladesh. Which facilities should I focus on first? So, you know, you've done an initial analysis, and so now you're like, okay. Let's see. I don't know. There's kind of it's kind of a toss-up between these facilities or these facilities. That can be a good opportunity to use the assistant. So it will kind of walk you through what it's doing. I mean, this large so you can see it, but you can totally have it running on the side as you continue to do things, and it will continue to think and kind of pull things up. So as that's thinking, so I can show you what that looks like, I'm going to go ahead and answer some questions. Alright. So the first question is, I understand only FEM level one questions are verified. So curious to know if those quantitative data are verified as well. So for verification, what is considered verified or not verified is going to be dependent on the cadence here. So it is level one. It's called, like, partially verified. So, for example, when a facility gets, like, a partially verified score, that would be the level one data that's been verified plus their self assessed level two and level three. So that is kind of what you're seeing here. So as far as those targets, those are typically level two. I think it's mainly all in level two. There might be some targets in level three, but those target data that target data is coming from those self assessed answers, essentially. So something to be aware of, verification will be changing over time. Cascale owns their verification program, and I can actually point you guys to there was a paper, that they published about verification and the level two and three and kind of what they're thinking and planning. So let me actually share this with you all, in the chat. So if you have any questions about that, that's a good a good one to review. But yeah. So those that target information is pulling from their assessment like that. Alright. The next question is, is Axion available for manufacturing groups? If manufacturing groups have multiple facilities in various regions, are they able to see their supply chain? Yeah. So manufacturing groups, it really just depends on what type of subscription you have. So generally speaking, if you're a manufacturing group that collects data and aggregates your own either your own facilities or your own facilities and your supply chain or what have you, then you will have access to Axion. If you are a manufacturing group, but you're only tracking, like, one facility and you're submitting FEM as a facility, that type of subscription does not have Axion. So it just kind of depends if you have an all access subscription or a facility subscription. But, absolutely, if you're a manufacturing group or if you, you know, work for or a consultant for one or what have you, and you have a manufacturing group that is tracking their facilities and wants to see this, then as long as they have that kind of all access subscription, then they will have access to Axion. And yeah. So, basically, we kind of summarize it in if you're aggregating data. So whether you're a retailer brand, manufacturing group, any other kind of type of organization, if you're aggregating facility data, collecting you know, you're being shared to, you're not sharing to others as much, yeah, then you'll have access to insights hub, Axion, all that good stuff. Alright. So now let's go ahead and open this up. So here I said I want to increase renewable energy use in Bangladesh. Which facility should I focus on? It gives me kind of a breakdown of what it did. And then, okay, here's the top facilities with low renewable energy use and high energy consumption or emissions. And then it just gives you the breakdown of a few different facilities. You can also ask different things like, you know, I need to develop a water and heat stress plan, what regions are going to be the most affected by twenty thirty, you know, something like that. So there's different ways that you can use the assistant, but I like to think of it as, you know, another kind of trusted colleague that's been trained on all of your data and all of kind of general sustainability data that can kind of help you answer those questions. And it also will, you know, give you a little breakdown of, like, recommended actions. Obviously, it's not telling you what to do, but it's just like, hey. This is something that might be helpful to think about and something to get you started, especially as you're making proposals or working with facilities. Alright. The next question is, what will be the difference of analysis if I add production capacity between each Is there a choice to see both scenarios? Production capacity. So you can increase that here. And then if I add production capacity between each facility so if you wanted to, like, compare an individual facility and let me know if I'm not quite answering your question, Carmen. I want to make sure I'm answering it. But, for example, you can select an individual account here to also run scenarios. So if you're like, okay. I'm you know, I would like to move more of my production to this particular facility. Let's say that they're only doing like, they are one of my facilities, but ten percent of their production does go somewhere else, then you can make those adjustments, and then you can update that accordingly. And same thing for, like, emissions and energy. So if you do want to look at just a subset, you can also multi-select. So, you know, if you know which facilities you want to look at, you can, you know, make those selections and do that, and then you can adjust. You know? Maybe you're like, oh, tariffs are really killing us. We really need to move from a country to b country. You can also select, excuse me, different countries here and then make some different adjustments here to see what that might look like. Highly recommend playing with it, especially given what you probably already know about what you're struggling with or things that you've been trying to push or different targets that you have internally. This can be a really great place to you know, once you've done that high level analysis to start going, okay. Now that I know where I want to concentrate, what's my next step, and what will that look like over time? So, hopefully, that helped, Carmen, but let me know if that didn't quite address what you were asking. Alright. And then the next question is, is it possible to update the multiple tags of each facility by bulk changes? I believe so. So that's going to be if I pop over here, that's going to be in your network section. I believe you can go into manage companies and then update. So if you go into here, update existing companies, you can go and add tags. And so that can be an easy way. You can either upload one or, for example, there's, like, the no accounts list. You could do that. I don't have a recently uploaded account list that I worked with here. It usually will show, like, the last one that you did. But maybe I can select this. Yeah. No. This doesn't have one. This was a staging account that got kind of artificially created, so just be aware of that. But, usually, you'll have the options here in this workbook tab. So you could select that and then multi-select and then add tags, or you can upload, you know, just a spreadsheet to then bulk add those tags. So that's going to be just for your knowledge. More information on how to do that is going to be in the supplier management section under worldly collaboration suite. So I'm going to pull this over and send this link. So this is where you can make those tags, those cadences, that kind of updates so that you can then see that information in Axion and in Insights Hub. Alright. So I just sent that in the chat. I'll include that also in the follow-up email just for everybody. But, hopefully, that helped. We are at a little bit overtime, actually, but I got to all the questions. So, hopefully, this helped. After I end this session, there'll be a little brief survey asking, you know, how this went, what would you like to see. But we also highly, highly encourage you as you're playing with Axion. If you have feedback for the product and you're willing to talk to our product team just a little short time out of your day, it's really helpful for us to hear from customers directly about this works, this doesn't really work. So, you know, just be aware in that survey. If you are total open to talking to our product team, we really value your feedback. Oh, and I see one last question. Oh, so regarding my share of production, it depends on the function of the input of the brand's production volume on FEM by facility. When would it be functioning? June twenty twenty six? So that is one thing I forgot to mention. Aaron, thank you for bringing that up. So production volume allocation will be available in March. So in Axion right now, it's kind of looking at everything, but that production volume allocation will be coming very, very soon. So be on the lookout for that. They'll be we'll be sure to make announcements and everything, but not as far as June. So that's good good news. But yeah. Awesome. Well, thank you everyone for your time and attention today. I hope this was helpful, and I hope to see you on the next one. So you'll see an email from me in a little while with the recording and some helpful resources. But if you need anything else, do let me know, and have a great day. Awesome. Thank you all so much. I hope you have a wonderful rest of your week. Thank you.