How ERP learns things?

How ERP learns things?

The ERP (Enterprise Resource Planning) is the modified or expanded spreadsheet, what mission is to automatize things like storage bookkeeping. The way how ERP is interacting with databases is that when something is sold out from the storage or moved to another room, the system makes the automatic markings in the database, and the system can be acted as fully automatized.

If every single particle in a warehouse or building is equipped with an RFID system, the system would locate every single item in the building. That means that the controller would see the position of the video cannons or computers by searching, and if the system would be perfect, it would also see the reservations of that thing. This is one version of the fully automatized ERP-system, and that would be the advanced version of traditional ERP, where computers would make marking to the database whenever some item is sold from storage.

But what the learning ERP can make? If we would use an intelligent ERP-system, that means that if the ERP would allow locating every particle, while they are moving in some building, it can keep a record, where are the problems. If some particles would be destroyed very much, the system can also use cameras to find out where is the thing, what brakes things like insulators or clips. And that thing can cause momentum tools or something like that can impose again, what denies the damages of the parts.

The ERP system can also see if there are problems with physical movements in someplace, and that thing can be told to the managers, and they would see, is there some tight spot in the warehouse, that the material would not fit to go through that point. And that would cause the items, what dimensions, what will across certain value guide to some other route, and that would make working more flexible and effective because there is no need to wait for things in the work points.

The thing that makes the learning ERP-system more effective is that it would make orders when the storages are low. That makes possible to make things effectively and minimize the need to store things. The intelligent system will notice the real level of storage and also things like, how long those deliveries would take. And it minimizes the breaks of the production and the mixing of the storage. That means that the system will make sure that all old parts are used when the new ones are coming to storage.

And the system can also see, what kind of merchandise would be used mostly, and that means that the storages can be sizing for that kind of thing. If some merchandise is used mostly, that kind of stuff must be ordered lots of more than something, which is not used as much. And when the storages are running low, the system can send the ordering letter automatically to the merchandise deliverer. In this case, the artificial intelligence can fill the order form, when there is a need for more merchandise, and that thing makes it possible to make the work of human workers lighter because the system would make routine operations automatically.