Issue link: https://iconnect007.uberflip.com/i/1534953
What type of annual revenue should a company have for MES to be a good fit for them? Is a $20+ million company a better candidate than one doing $5 million? That's a very good question because, tra- ditionally, those projects are quite com- plex and large. Therefore, we usually see implementation in larger companies with several sites and higher revenue. But we have all the other companies out there that want to get there as well. They don't have any possibility of getting there if we don't have a step-by-step approach. For the SMT business specifically, for exam- ple, we created templates based on established use cases that are pre-con- figurations, which show how MES can fit into their operations. One of those tem- plates will take 12–14 weeks to install and deploy. We'll integrate it with some of your equipment and with your ERP system. By the way, because it's a standard- ized approach allowing you to have a Tier 1 renowned MES with the capacity to expand with you in the future, the cost is at a very competitive entry point. At the same time, this competitive entry point is meant to show our willingness for you to embark on this journey with us. It offers the possi- bility of introducing the MES, sustaining it, and growing it at your own pace based on your vision for your company. This approach allows us to provide our supporting solutions to smaller-sized companies with one to three lines, for example. I think their sales would go up because they have good control over their process with the MES, or certainly their yields. Your tool enables higher profitability. Exactly. And in the SMT example, Critical Manufacturing is with ASMPT, a leader in the equipment manufacturing field. The combination of providing high-end phys- ical machines with an MES is a powerful selling point. Let's talk about the analytics. When a system captures so much data, it can be overlooked. How does the customer choose which data is the most important for them? What we typically see is that an MES's capabilities are due to the architec- tural structure around capturing a cer- tain portion of the data. You have special machines in electronics that generate lit- erally tons of data. We had to deal with this issue before we would be able to see what data was important and what was not. Because sometimes the data that you are not seeing, that you're not captur- ing, is part of the science. We have created an infrastructure, an embedded platform into the MES plat- form, that allows you to capture all this data. Today, our data platform basically allows our customers to decide indepen- dently whether certain data is important or not, but it's much better to capture all the information. Our architecture completely scales to capture all this data, and with the machine learning mechanisms and con- textualization of the data—the product being processed, the person monitor- ing the process, the time that it took, the