In this section, we are going to show you, how easily you can manage and see all of your AOS orders. This site is very practical for a review of all orders that had been made through the devices or through the Flutter AOS (website AOS).
So first we are going to click on the AOS tab and roll it down. As you can see at the bottom there is an Orders tab and we are going to click on it. You will see the main AOS-Orders screen.
As you can see, on the top of the site there is a typical bar menu with three icons and a search bar. The first one is the Flutter AOS (web AOS) and it has the + symbol as a button. The second button is for all data export. As always you can export all your data into the XLXS format (Microsoft Excel). The last button is a column chooser and you can edit what types of columns you want to see on your screen. You can check or uncheck boxes for columns like Work group, Status, Duration, Items, Created, Updated and Note. It is only on you what types of data you want to see. The last part of the bar menu is the Search bar. Here as always, you can search any type of data you want to find on the page.
Now we take a closer look at the Flutter AOS (web AOS) that has a + button. Basically, you can create/manage your orders from a tablet/phone device, but now you can also do the same on your PC. Working with the Flutter AOS is the same as using the AOS system on any other device. The first thing to do is to click on the + button and a new site will open. Here you can see the typical AOS main screen. If you do not remember how the AOS system works, look again at our previous e-learning courses for AOS. On the main AOS screen, you have a Login manually button, that is used for login. Now you have two options. You can log in as a user or as a device. You can always manage your devices/users in the main tAnalytics panel. Do not forget, that you already had to create all the things needed for AOS! If you do not have anything created yet, go step by step with our AOS e-learning manual. Now we can show you an example of how you can log in. As you can see, we logged in as a user that is a member of a specific Work group that has been set in earlier in the Node section.