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Revolutionise Manufacturing & Distribution with Microsoft’s Cutting-edge Cloud & AI Solutions

Welcome to our webinar on Unlocking Manufacturing Excellence with D365 Finance & Supply Chain and Microsoft Cloud Technologies! In this session, we'll delve into Microsoft's innovative Cloud & AI Solutions and how HSO's expertise can revolutionize the way manufacturing businesses operate. Join us to discover how these cutting-edge technologies can transform your manufacturing processes and drive business success.

End-to-end Solution Vision and Architecture for Distributors and Manufacturers with Microsoft Dynamics 365 Finance & Supply Chain (SCM) solution and Microsoft Cloud Technologies

  • Microsoft Reference Architecture for Distributors and Manufacturers
  • Leveraging Microsoft solutions across SCM and MFG Value Chain
  • Customer use cases of the solution areas
  • Dynamics 365 CoPilot and AI use cases for the solution areas

What is Demand Driven (DDMRP) and how you can enable it with Dynamics 365?

  • MRP vs DDMRP
  • Customer use cases and value realization with DDMRP

Webinar: Revolutionize Manufacturing with Microsoft’s Cutting-edge Cloud & AI Solutions

Webinar Transcript

Manish Bansal 0:03
Here we are, will of course record this for people who are still going to join us and not being able to be this change. And my name is Manish. I'm the engagement director for HSL here in Australia, New Zealand, which means that I've worked with customers to look at the vision and make sure that vision gets delivered using Microsoft Dynamics as the platform to and to continue the productivity and efficiency. I've got my colleagues, Michelle, and Kasun. Do you want to, introduce yourself Kasun?

Kasun Pathirana 0:45
Yeah, hi, everyone. I'm Kasun, business applications MVP, and also working as a Solution Architect at HSO. And, yeah, so really excited to meet you in the webinar, and looking forward to it, too. And,

Michelle Laybutt 1:06
Hi, I'm Michelle Laybutt. I'm the Enterprise Architect that will be taking you through the presentation today.

Manish Bansal 1:15
Excellent.

Michelle Laybutt
Thank you. And yes.

Manish Bansal 1:21
So if I can get Michelle, to dig it through the agenda, the agenda is full bagged, we will try and get to it as quickly as possible. The focus here today, of course, are the number of challenges the distribution manufacturing, businesses are facing all around the whole supply chain. And of course, how do we make sure we are doing our manufacturing operations as best as we can, using the latest in technology, whether it's the artificial intelligence being the key these days, or look at some of your traditional planning processes? And how do we improve that so the both Carson and Michelle going to take you through some of that. Concepts and details, please feel free to put in your questions in the chat and we'll address as we go along. And in, let's rock and roll. Michelle. So just very quickly, is it so we are a global Microsoft partner, we've been working with businesses globally and in Australia, New Zealand, to help them transform the business using Microsoft as a technology via global 3000 employees, roughly and about foreign 10 million euros for business for about 28 years in the making. Being a Microsoft partner and global is mentioned we based out of Netherlands as a global company, but we are spreading each and every large markets, including Australia, New Zealand, where we are in Auckland, Wellington, Christchurch, in New Zealand, in in Australia, Sydney, Melbourne and Brisbane. So we bring the depth of experience across the Microsoft platform. Of course, focus is around business applications, which is all around Microsoft, ERP and CRM from an old world of people are familiar with, across two major industries, professional services and manufacturing, distribution. They are the two industries which we focus and we bring deep expertise all around the data in AI and Microsoft as a platform to get you the best out of the productivity and efficiency for all your employees. Talking about Microsoft, Microsoft, we all live in work on a daily basis. My my, my view with Microsoft is it's more than ERP. And yes, we are going to talk deeply into the distribution manufacturing industry verticals today. But you know, when you think about Microsoft, the tools we interact with, whether it's Excel, Word, or Outlook, it's bringing the all the data together in a seamless manner so we can make the right information available at our fingertips. And that's the key to Microsoft and Microsoft strategy, which not a single other vendor can provide when we come talk about the manufacturing and you'll see some of that in action when we talk about data and AI with with the team. So with that, I'm will hand it over to Michelle to take us through in more depth of some of the concepts and how Microsoft can help drive all the distribution and efficient businesses in Australia New Zealand. Michelle,

Michelle Laybutt 4:53
thank you MANISH So, thanks and and again apologies for the Um, the the break that we had, because it was just a little bit of technology issues. But welcome. And thank you for joining us this morning. And I think what we want to cover off is the Microsoft Cloud, whether it be manufacturing supply chain, or whatever it is. So what are we going to go through today, and I'm going to talk to you about how Microsoft and HSO can enable your business to be more effective. So starting with the diagram that you can see over here, Microsoft basically has five pillars, or five key areas that they cover, they start off with the Agile factory of the future versus we operationally visibly improve, to improve visibility across your connected factory. And then we go to the supply chain resiliency where we kept planning optimization, supply chain visibility. And then we get to the engaging customers in new ways. And this is subdivided into planning and optimization and supply chain visibility. The next week, we go to the fourth pillar, which is the digital innovation. And this includes digital twins, not only of assets and digital representations, but also supply chain digital twins. And lastly, we have the workforce transformation. This covers your health and safety learning and knowledge management, and connected and frontline work workers. So this is underpinning the Microsoft architecture. And we're going to go into a little bit more depth, we're going to show you where as HSO, what we have added and contributed to this. So we have, what we've done is we've taken a look at the entire supply chain, from a manufacturing perspective from inbound. So it's not only manufacturing, we can talk about supply chain. But this is starting the journey from an inbound throughout all the way through to the manufacturing execution, through to outbound logistics. So from a materials coming in for Prime suppliers, all the way through to the production of the items, and then all the way through to the fulfillment of them, and delivery. And then of course, the servicing aspects as well. So we take into consideration the whole value chain, and underpinning that we have the Microsoft core platforms. So what we're going to do is we've gone and we've, we've added some RP on top of the standard Microsoft stuff, and what we're gonna look at is what we call the foundation or solutions. So this is where customers, we assess the customer needs. And we start looking at the first aspect regarding of what system regardless of what system you're using. So this can be used, whether you're using any other form of what we do is we go and we have a look at you first from a enterprise data and AR side. And what is this going to be able to help you from the standpoint, and this is a we this is what we call the Microsoft fabric and you're going to hear us talk about that a little bit more. And then there's a whole set of offerings to help the customer actually you as a customer, help yourself set up your strategy for data and AR and actually get to the data set and get it right. So this is using the Microsoft as your infrastructure and security standpoint isn't as important in this day and age to make sure that the data is secure. And it's governed correctly at all times. And this uses the Microsoft as your platform. Then, of course, underpinning all of that we have got been inside. So as hsfo we are we only concentrate on Microsoft. And then we have dynamics 365 Finance supply chain manufacturing. And of course, what does that mean? When you look at the finance side, we lead with it. And this goes to our solution. This is our core, and we have multiple solutions in there as well. So one of our one of our offerings that we have as a multi entity financial consolidator, we have some other solutions as well that we can also offer within that framework. Then we start building the next layer which is known as the core. When we start doing our core business start doing is we start looking at the end to end and we start looking at what we are going to be using this for so when you're looking at how are we going to do it. The main chain optimization is inventory management process, and we have demand planning for this and we have an hour we'll be discussing DD MRP later as well as the advanced warehousing capabilities. We then have SRM which is our supplier resource management for that what we do here is that we use this for supply chain optimization for inventory processes. And we go through and we have a look at how we can do that. Then we have from a customer engagement side we have marketing and sales, advanced field service and RP as well for the Since we now start engaging with the customer, and then we have our innovation. So what we have here is when we do innovation, what we're saying is, we can now go and we can have a look at what your digital supply chain twins are. And we can help you with that. Then right at the top of the thing, we have the top line. And this is where we do your system sustainability, health checks and solutions. And we can help you with that as well. And, and depending on that as Microsoft Power platform, from a reporting side, everything is all important. And it's important to note that at this point in time, we have the Microsoft Power platform that can do all your reporting. And we can help you with that as well. So we can have text and we've got quite a large footprint in this area. So with all of that, what we do is we within Microsoft, we have the AI in manufacturing. So this is obviously to help you improve your times and help you with inventory management. And I think one of the cool things is that with AI, artificial artificial intelligence and machine learning together, you can help optimize inventory, as well as you can then use it to control and optimize your robotics and automation systems, increasing efficiencies and reducing your labor costs. And I think this is an important part. So with artificial intelligence that we can use and make it effective, but bearing in mind that at the end of the day, it still needs human intervention as well. The one of our key success stories that we have that use a AR and IoT and in their businesses is stock tankers. So this was an interesting customer, because when they started the journey with us, they were looking for the MVP of the product, they wanted to essentially start with determine the probability of failure of the main engine. But as we started working with them, they determined that they did not have enough data at that level. So the extra went down to the piston level. And that bottle was then able to help them immensely determining what the probability of failure was, the piston ring alone could have had multiple and quite consequential damage damages to the system. And also, what they found out it would increase the fuel consumption. So this model really helped them and guarded them through to being able to look at how they could then build more areas, as well as become the become the MVP from here on. So it helped them as a great starting point. And they're an existing customer and are really, really using the system very well. Then we have the Microsoft supply chain. So now within the Microsoft supply chain, you can see this ecosystem provides best in class solutions to build supply chain resilience. From real time teams collaboration through to industry leading security. Microsoft provides the open, flexible and collaborative supply chain at home. Again, you can see it starts with four pillars, so we reduce risk with better visibility, we gain agility to meet market demands, we can prove efficiency and productivity using Microsoft 365 Power Apps, teams, dynamics, supply chain management. So building across the platform, we can create sustainable and secure value chains using the Microsoft Cloud for sustainability, which you saw earlier in the other slides as well as Microsoft security and the database that goes with it. So Microsoft offers a full end to end whether you're in manufacturing, whether you're in supply chain, or whether you're in retail, it makes no difference the system that Microsoft has as a platform will enable your company to be able to work more efficiently and more effectively. So why Microsoft 365 supply chain? Well, we need to modernize our supply chain with enhanced visibility one of the things you want to do is right now there's a lot of disruption out there, there's a lot going on in the world that's outside influencing that we cannot we cannot hold be accountable for so what we have to do is we have to let everybody know in the chain, what is happening so with the help of co pilot and earn d3 Six Five supply chain, you can automate actions in the process using natural languages and AR capabilities. And something Carson is going to show you and talk to you a little later all about. So if for example you have a delay in a an item that's being shipped and coming in later and going to have a roll, it's going to have an impact on the chain. We can have copilot automatically send out emails to people to say to them that the the Things are going to be late and give you a new eta. We then can set up your help you set up the inventory and operations planning. So this is where we can involve material planning and we can improve them. And we can use Microsoft's supply chain management as well as the if you're in a manufacturing side of it, we can use DD MRP, and D 365. Supply chain to give you a formal multi action planning and execution method. And I will explain DD MRP. And the differences between DD MRP and MRP later on in this presentation. And then AI uses the you can really gain real time visibility, because that's something you want, you want to be able to see what you're doing. You want to know what your potential risks are, and you want to be able to follow it through and get the best result and optimize your inventory levels. So enable for all this to happen, we have your order fulfillment and warehousing processes as well. So if you need to increase your supply chain, you want to there's disruptions that are happening, that the warehouse needs to be aware of that the performance managers need to be aware of that systems that can help maintain an efficient warehouse operations can improve your end to end with your customer, from your supplier all the way through. And at the end of the day, this will offer a deep way we have deep warehouse management expertise with the nature so as well as in the product. So you can use robotic automation for material handling, with built in connectors to multiple to multiple providers. And this will help augment the warehouse stock. Using the AR capabilities like the warehouse material movement analysis, power automate, we can create processes that help warehouses operation managers gain insight into the material flows in the warehouse, remove these inefficiencies and improve the overall performance of the warehouse. So if we recap what we have done, we've gone through and we have shown from a from a manufacturing side, how we can improve help improve and using the power of AR and co pilot. This will then give give your staff and your customers and your suppliers, better visibility across the supply chain. I'm going to hand over to Carson next who's going to take you through some of the modes that he has for production. And we will I'll then pick up after him and we will continue with the the rest of the presentation over to you Carson.

Kasun Pathirana 17:33
Thanks. I hope you guys can see my screen

Manish Bansal 17:51
you will see it.

Kasun Pathirana 17:55
Cool. All right. So hi, everyone. Good morning. Good afternoon. Good evening from wherever you are joining today. And happy to have you with us in the webinar. We're gonna joining and are we going to do a brief introduction and do a quick demo on production and some related features and then we'll discuss on copilot features, which we can use with the dynamics 365 Supply Chain Management also to talk about core platform and how you can extend your fNo solutions using the low code as well. And finally, I'll discuss more on the data and AI and some of the AI use cases we've compiled as well for distribution and manufacturing companies right. So, let's get started with so the production mode. So, there are four production different production modes supported in the dynamics 365 finance and operations. So, first we have discrete process lean and project based. So, these are the four types that we have in terms of the production modes. So, let's see, let us look at the discrete So, discrete is basically creating a specific item that you can easily see count or touch. And as you know that the bills of materials are used in discrete manufacturing and good example will be furniture and probably a great example for discrete manufacturing. And then if you look at process manufacturing, so process manufacturing moves into scenarios where formulas are used also, you know, co products and byproducts, you know, play an essential role as well in the process manufacturing and chemical, plastic and food industry will be really good examples for the process manufacturing. So then we'll look at lean manufacturing. So this is more about the methodology that you need to focus on that will be actually focusing on maximizing the productivity and reducing the waste in production processes. And this initially started in the automotive industry. And if you look at like Boeing for an example, they are also using the lean manufacturing as well. So that's About the lean, and then we'll move into the project base. So, the project based manufacturing is for an example for the items or products in the customer and, you know, if you have custom products that you have to make, and then that's going to be you know, project based as well. So, and it takes generally, if the product production takes more time or large number of steps involved, that will also you know, potential candidate for project based. So, in terms of example, why we have industry wise you have equipment production and construction engineering as typical project based manufacturing examples. So, with that, we will go into the production strategies, and in the production strategies, there are many production strategies that we can use, but these are some of the production strategies that you can use with Dynamics 365 finance and operations. And there are some companies may use multiple strategies, right. So, multiple strategies can be used for with different items, right. And so, if you look at the diagram, so you have the push and the pull. So, so, if you see the make to stop scenario, it is more of a push strategy than a pull strategy. Whereas, if you look at the engineering order, that would be more pull than the, the push, right. So, let's look at the first one make to stop. So, the made to stock is a traditional manufacturing principle where products are produced for stock based on forecast or minimum stock. And typically, it's calculated based on historical consumption, right. And then if you look at make to order so, scenario, so make all the scenarios we have the standard products, which is usually use this method, and expensive if you have any expensive steps that add value for the value chain, then it will be triggered by either a sales order or a transfer order. And it also helps to minimize the inventory on hand and possible to use for a longer fulfillment, lead time scenarios. So that's on the make to order. Then we have assembled to order configure to order and an engineer to order. So let's quickly wrap up all these three areas as well. So assemble to order is actually incorporating little bit more pole as the components of finished goods are ready to be assembled at the time the customer ordered. And if you if an organization have a higher mix of items, which may share some components, this will be quite useful. And then you have configured to order this is used when you have standard scope in your product offering with specific customizations. And that is determined when the customer order, right. And it is not cost effective to have all combinations add on hand and wait until the customer orders so that's why the Configure to order will be really handy, right. So engineer to order is the next one. So mostly, this is actually a poll if you can see from the diagram itself as well. And it's a less push. And this is used in scenarios where actual design is determined when the customer is ordering it. So using highly custom solutions like building construction or custom made machinery kind of scenarios. And I will go into a demo. And that will be focusing on as I mentioned earlier on the discrete manufacturing, which we discussed earlier enemy toward a scenario. So let's quickly look at the demo. And so here you can see a sales order where you have a standard suite item attached to it, and then it will be produced from the CSR itself, so you can create the production order itself. And also if you want, you can also leverage on the master planning, but in this case, I'm demonstrating creating the production order form. The CSR as we mentioned in this scenario will basically you can see that in production orders created and I'm actually creating the operational scheduling here. So you can select the forward from today and then you know do the shedule operation part of it and then we go to the production flow management. So, this is a workspace which is helpful for the production supervisors, production managers, and then they can actually directly go into the production orders to release and then check the material availability. So we will discuss further on this feature. This is a handy feature that you can check on the availability so as a supervisor or Production Manager, you can check the availability and here we are selecting that order and then releasing it to the production and then if you want you can print out the job card as well. So you can see a printout of the job card coming up here. So that's that's how it looks like in the standard, the job card and then we will go into the manufacture during execution, so the production flow execution here, so you load the screen, and then you type in the batch of the ID of the production worker. And then you can see that the production order, which we have discussed was easy, it's there already part of the job. So he can select that job and then start the job. And then enter the quantity how much the quantity that he's going to start. So once started, you can see the screen production flow execution, you can see that it's in the old jobs in a different symbol that you can see a green symbol there, which highlights that you have started that. And then if you go to the active jobs, you can see that job which you have started already. And then you can go to the report progress, and then complete that job for speaker assembly part of the job. And then you mentioned the good quantity, and then report progress completed. So once you've completed that, once you have completed the task, and then you can sign off, basically, you can see that it's not there, now it's been completed. And then you can, you know, leave from the production, execution and then logout. And that's pretty much you're done with that task on that. So that's a quick demo on on the key aspects. And then let's quickly look at the the areas that we have touched upon on that. So so if you see if you notice that you see a workspace there, so the production flow management workspace. And if we talk about the workspaces in dynamics 365 Finance and Operations, it is not only for production, it's also for supply all the the other AI modules that have the the out of the box workspaces that you can utilize. And generally, this is designed for productivity and navigation. So to improve the productivity and your navigation within when you're you know, as an organization if you want to go through so you have key tasks and key stuff that you want to do as a rule. So you can have specific use of rules based on user roles, you can define workspaces, you can do custom workspaces, as well. So you can use the standard workspaces as well as the custom ones. And it includes, as you can see, like you have the ties, list, links and jobs and there are different information that helps to perform your job will be there in the workspaces. And this is specifically specifically for the production flow management. So you can see that production flow management workspace, you know, helps, and the supervisors and managers, as I mentioned, to the demos, so you go through this workspace, they can actually go to the production order to release they can find out the materials available, and then release it. So this is quite handy, they can see the production workers, they can use this to access, eliminate information and complete the task efficiently. And this can be customized based on what your needs. So basically, you can filter based on your production, you need a resource group or resources. And also within this workspace, you can create a production order or a batch order. Right. So let's move into the next part of the key stuff that we did on the demo. So the production orders to release. So now you can check the material availability, while you know scheduling your operations. So that's what I did, I did do the operations and then go into the production orders to release and then check the availability of the raw materials. So if you can, you can see that if the items are, you know, having in the on hand, and it's, you know, giving you an indication whether that's in on hand or if it's not available, there is no sufficient quantity available, then you can see that it's not available by the indications as well. So, this really handy feature which you can do you know used to do it using the shedule operations and then you can check the material availability if the material is available, then if it's available, then you can select that production order and release it. So, the next part of the key thing that we have gone through is actually production flow execution right. So, the production flow execution is where the shopfloor worker which comes in the production worker, which comes in and register their daily work, they can also have started the jobs which we saw that we started the job and then also it captures the starting time and then you can keep provide the feedback indirect activities you can you know you can have a direct activities also specifying as well. And these informations are critical or crucial for tracking progress costs on the production orders and calculating the workers pay as well. So the interface automatically loads specific configurations and job filters. But you can you know, you can modify the way you want to modify and filter for the jobs that you want to see. Right. So that's about the production flow execution and In Next up, we're going to talk about the Confirm purchase orders with changes, that's the copilot feature, which is available from the the out of the box. So that's the copilot feature, which you can you know have in the system in the SCM dynamics 365 cm. So, this is as this is a new workspace as I mentioned, so, this is using the general to a artificial intelligence or change AI. And it simplifies summarize, you know, the downstream effect, if you can see, you can see that if you have a confirm purchase order, but there are some changes, and you can see, what are the ones which have the low impact changes, and what are the ones which have the high impact changes, and if you have anything on the downstream impact as well so, so you can focus on the high impact and the downstream orders impact and whereas the low impact you can monitor, but you can see, you know what we're going to do with that, but again, generally this will, you know, highlight all the key changes that happens to the purchase orders, right. So that is that is quite good. And then the in terms of the copilot Vijay is where you have you can see that send email and send teams message so you can basically select the Send Email so it'll actually summarize the information on which orders and which model the, the items that is going to delay and all those information can come up and summarize and give you an drafted email and similar with the team's message as well on the Next button. So you can also have a drafted team's message as well and then you have a human in the loop. So, you can actually you know, edit the draft which is generated by the generative AI and then you can send it back to the vendor and then the vendor can help you with the you know, if if they want if you want to speedy you know, get get the goods faster or do some you know, communicate some information changes back to the vendor, you can you know, communicate back that and for you, when creating the draft email and draft teams message, you can get the help from this nai and the best part is is also Microsoft he was also you know, adhere to the Microsoft responsible AI principles as well. So, you have the, all those principles has been adhered when it comes with the out of the box solutions from Microsoft. So that's also one of the handy things as well. And the next step is we have aI use cases in manufacturing and distribution. So, you have AI in quality management which is used to assess the goods quality during warehousing bounderby received, so, you can scan the goods detect damages quarantined, and then create quality orders or for inspection. And you can also trigger alerts kind of thing and if a quality audit is failed, a return order is created or warehouse put away record is created. So, these are some of the use cases we can see and so far, you'd get some understanding on the use cases AI use cases and the copilot use cases which I will do next slide. So, in the next is the AI in production. So, you have the production can be used for scenarios such as automate the report as finished process, printing labels and reporting stock to output or warehouse locations for manual production. And in terms of the warehouse management AI in warehouse management, it can automate the put away process when finished goods from production or physical received, it scans production goods identifies for that quantity and such as this location within the warehouse right. So, these are some of the use cases we can think of in manufacturing and distribution. And let's look at some of the core pilot use cases in manufacturing. So production quality and maintenance. So, we have the 360 by co pilot in production which provides the daily weekly or monthly updates on production jobs balances origin and order quantity completed and outstanding orders and highlights delays in expected delivery date. So, we can see these kind of information on the 360 by co pilot in production these are some of the use cases we are talking about here. So, this could be you know, one of the use cases we can think of and then the next stuff is the DJ 65 co pilot in call quality management. So this is a another use case of it can offer the insights into open and failed quality orders data analysis and KPI reports for right first time analyzes by item department the month or year and the next step is the DC 60 fi co pilot in maintenance management. So this offers insights into manufacturing process asset performance display coders analyze time and generates KPI reports. So these are some of the use cases we can see in the co pilot for related to the manufacturing. And next up we have some additional solutions IPS which is the It's relevant on the manufacturing side of it. So we have IPs from IHS, also their rental management, graphical planning and scheduling quality system management for regulated industry. So if you have anything related to these kind of industry requirements, so you can, you know, context please to reach out to us and for more information, if you're looking for any things similar kind of solution on this area, as well. And the next up, I'll go into the micro power platforms, the power platform, which is really key in these days, because it's with the low code tool set from Microsoft that you can, you know, extend your dynamics 365 Finance and Operations solutions easily. So, that actually reduced the load off, you know, having a lot of x plus plus code. And instead of that, you can, you know, move some of the solutions from the Microsoft Power platform, which provides a lot of the tooling capability there to extend your solutions. So in namely, you have Power BI Power Apps, power automate and copilot studio combined studio, which comes with a lot of Genie generative AI capabilities as well. So there's a lot of tons of things that you can do with the copilot studio as well. And then you have Microsoft Power BI Power BI, which would actually, you know, help you to provide powerful insights, materializations and integrations into, you know, with another applications. And also, you have the Microsoft fabric as well to transform data management. So this is another part of it as well. So the Microsoft Power platform, which can help you to, you know, get extend your dynamics 365 Federal solutions and get a better user experience as well. So some of them. And the next step, we have the HSL data analytics framework. So data analytics framework, which is basically provides distribution and manufacturing organizations, a comprehensive data analytics framework. And this enables, you know, these companies to create detailed dashboards, key reports that support their business operations, we have many customers who have benefited from this. And namely, I can tell like Mossad and Hellman as examples, but there are other examples as well in this slide. And there are there are many more as well, we have. So please do reach out to us if you have anything on this space as well, which we can help you for the distribution and manufacturing companies as well for the SEM data and analytics as well. So with that, I will be handing over to Michelle, and Michelle will be continuing with the DTM RP.

Michelle Laybutt 37:43
Hi, thank you. Thank you, Kasun. And I'm just going to share my screen again. Share, share my screen all right, can you can you all see my screen?

Kasun Pathirana 38:15
Beside the presenting? Slide?

Michelle Laybutt 38:17
Yeah, just going back. Sorry. I just swapped back. Perfect. Thank you. Thanks, Kasun. So what we're going to cover off now very quickly is what is demand driven Material requirements planning. So and what is the difference between the DD MRP and MRP. So Microsoft allows for both of these types of resource MRP is to happen in the system. So what is it? So the purpose, the DD MRP is a more recent methodology. It's been around about 10 years, Microsoft has now adopted it in the manufacturing solution. And it's standard out of the box. But what it does is that last year, it's a formal multi Echelon planning and execution method used to control supply chain and businesses and enterprises. The key points about it is the purpose of it aims to protect and promote the flow of relevant information are strategically placed in decoupling point of stock buffers. And you can see one of the big differences between the DD MRP is MRP. The old traditional uses lead times DD MRP uses buffer zones these buffer zones are used to manage inventory. And these zones help in understanding when to reorder and how much to reorder, and to prioritize which items need to be ordered. Did he MRP uses the Lean and Six Sigma principles to be more responsive to actual demand whereas with MRP you're using the conventional method of inventory management and production planning. It uses historical data to forecast and determine the quality of materials required to meet the demand. So that's one of the Another key difference. DD MRP is a pool system, meaning products are produced or procured based on actual demand or consumption, not just on forecasts, whereas the cost function is typically, meeting products are produced based on anticipated demand rather than actual customer orders. And then the visual management DDI MRP offers visual management tools to highlight inventory statuses and priorities, whereas complex calculations are being used in MRP. And this often requires a lot of data to be put in and people have to then try and forecast accurate planning. So DT MRP is a more robust way of doing things. But however, you can have as I've said, you can use both MRP and DD MRP. Both of these approaches can be used within this within Dynamics for different items and put different things. So what does HSO bring to the party. So we sorry, my slide decks just not moving. But HSO approach is for we have years of production planning and expertise to help you through this. We can assist customers planning teams, and making safety stock versus decoupling buffered determinations and train you on how to monitor and maintain the buffers for optimal throughput. But one of the things is we've been doing this, as I've said, for about 10 years as an organization, and we have quite a few success stories which I want to share with you as well. So one of them is North sales and North sell is a worldwide leader in cell making, they operate, they build, they they make sales, whether it be some predetermined ones, or some make to order special orders, they operate in about 18 countries and they have about 2000 employees, then what they did as they came to us back 10 years ago, so they've been a customer for about 10 years within a greater organization. And what they found is by implementing DD MRP, it actually reduced the inventory by 25%. And it gave them work in progress reduction of about 40% a compress the lead times internally and externally, and it improved on time delivery in all the locations. And the CFO says it provided me complete visibility across our global operations. And that was critical to the to the to the DDM RP being implemented. Another great customer of ours is Ecclesia group and the proto chemic chemicals. So one was an FMCG and the other a chemical and what they found is they had enough employed they had enough by implementing DDM RP they have again seen realized 23% inventory reduction 30% on the other side 99% on top 45 reduction are planning and buying teams. So this allowed them to make decisions and also be far more efficient in the supply chain. So whether it be in the manufacturing side or just on the supplier side, they were able to see costs being recognized over a period of time. And then last but not least, we wanted obviously our experience in manufacturing. These are just a few of our customers that we have worldwide. We create more resilient supply chains, engage customers new ways help you transform your workplace, build more agile factories and production and lock and unlock innovation and deliver new services. And this is what the use and the help of using the Microsoft stack. So whether a lot of these companies are using d3 Six, five, whether it be finance supply chain and warehousing or a mix of just the finance on its own warehousing on its own finance and supply chain so the system can enable you to work in a more productive manner. And then using Microsoft 365 As your ampark platform gives you a total solution. Key takeaways what we have hoped we have covered off today as you now understand d3 Six Five Hubdoc has the capability of finance and supply chain and the Microsoft technology stack can help you with an end to end solution vision, whether it be for supply chain, or whether it be for manufacturing or even if it's just for finance, we have a solution and warehousing we can help you across the broad the bandwidth of that and if you need to know more or would like more we have we are going to give you these resource says this while and send the slide dit to you, so that you can use it for reference sites and reference ability after this. And this will also give you some of our RP that I have covered or fun, like the graphical planning shedule, which we've got from from a manufacturing side. And over to finish, thank you very much.

Manish Bansal 45:21
Thank you, Michelle and Kasun. And again, apologies. We are running a few minutes late because of the technical glitch we have this morning. I hope you found this useful. If there are any questions, happy to take some questions. We've got five minutes. I did had questions. Two questions from people who couldn't join. And one of them was all around can be implemented as the WMS warehouse management system, or do we have to have the whole kitten caboodle from Microsoft? Michelle? That was one question I had via email. Because if you've got any thoughts on that?

Kasun Pathirana 46:03
Um, yeah.

Michelle Laybutt 46:05
Sure. Okay. So to answer your question, yes. So from a warehousing side, you can have warehousing standalone, you don't need to have the whole finance and supply chain and everything else with it, you can actually buy a standalone version of the warehouse management solution. And then we can integrate that into either your EO into your ERP, and into your supply chain, best best of breed that you're using, so we can do your warehousing component as a standalone offering. Yes. Excellent.

Manish Bansal 46:44
The key topic these days is all about artificial intelligence and AI. And concern is the most valuable professional at Microsoft. And he's just happens to be back from Seattle at Microsoft meeting some of his fellow in VPS. And, of course, Charles lamanai, who's the Microsoft corporate VP of the dynamic. So this one is all about AI and AI, nothing in Microsoft world and around the world happens without AI. So if there are any questions around it, are happy to share a lot of things. We're doing it and so bringing AI and copilot you've heard, and you've seen some snippets of it, Microsoft has baked copilot into a lot of areas, including purchase orders, as you saw, because what's the top one? If I may put you on the spot and say, what what did you find in your MVP Summit? From from us? Yeah, EMR?

Kasun Pathirana 47:44
Definitely there are a lot of pilot features coming up. I mean, there are some restrictions for me on the NDA side of it. So with what's publicly available, I can tell that what I shared on that, and then there's the Confirm purchase orders which which I shared on the the slides and the demo itself earlier. And then also the finance features which is coming as well. And then I can say that the which is already the preview of the finance, there is a finance preview feature and then also the invoice capture, which is one of them, which we have already implemented in in RL as well. So that is that is a key one, I think we are the first one to implement that. And for the most capturing feature as well. And also I can talk about the copilot studio, which will have a lot of generative AI capabilities, which is in the preview as well, some of the capabilities. So though, the things are going to be exciting for the future. So yeah, looking forward to it. And we are doing really great on these areas, like as mentioned on the NRL, we have we are the first one to do this implementation in a in is it so happy to have discussion with anyone who was looking for a certain either it could be invoice capture, or maybe something else on the AI related, which will be we are really happy to help you out with that.

Mansih Bansal 49:06
Thank you, thank you because there's watch the space everyone. Microsoft has already released their plans moving forward by one and on field service, for example. So there's lots happening in the copilot or the AI as we get baked into whether it's dynamics or even day to day, I'm not sure if you've seen in our use of Outlook and teams. There's lots of AI go built into now in terms of drafting, email suggestions, and so on and so forth. So watch this space. Again, from a Microsoft standpoint, bear in bringing lots of innovation. So if there are any questions, let us know otherwise, thank you very much for your time and and a look at it and again apologies for the technical glitch we had this morning. I've I hope you found this useful. We'll be in touch or let us know if you need any Help, and we'll send you the slides. The presentation later today.

Michelle Laybutt 50:06
Thank you, everyone. Thank you. Bye. Bye.

Kasun Pathirana 50:10
Thank you. Thanks, everyone.

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