Smart ERP


An ERP system helps to manage the different processes of a company. These management software streamline the activity of the company. However, with technological advances, ERP systems are asked to be more analytical and intelligent. Therefore, the i-ERP that combines the ERP to manage processes with business and artificial intelligence functionalities has been created. But what can you expect from an i-ERP? How does an intelligent ERP system work?

What is the i-ERP?

An i-ERP or intelligent ERP is a business management software that relies on analytical and technological applications. In this way, the i-ERP provides more accurate business data and analysis in real time. The main features of the i-ERP is that it has artificial intelligence " AI " and business intelligence " BI " to improve decision making.

Within the use of artificial intelligence, there are a number of important elements such as machine learning and internet of things " IoT ". Machine learning is responsible for looking for patterns within large volumes of data that are within the ERP system. For example, machine learning can look for the purchasing trends of a certain target audience through social networks to know how to boost sales or if it's worthwhile for the company to invest in following that trend.

However, there are two types of machine learning:

- Supervised
- Not supervised

In machine-supervised machine learning, the user tells the ERP system a procedure and, thus, whenever this situation arises, the ERP already knows how to proceed. For example, the ERP is told that when you enter an e-mail in the company with specifications for a project, this e-mail will be automatically redirected to the person responsible for that project.

As for unsupervised machine learning, the system learns and creates automated processes without the need for humans. For example, the system could establish a workflow not configured at startup, but that's always given for a type of business process. The ERP detects that every time there is an incident it's communicated to the maintenance and repair personnel, but also to someone of management " although this flow hadn't been configured initially ". Then, when an incident case is opened, the management person is also informed.

The use of the key elements of i-ERP in companies

The Internet of Things " IoT " can provide business process data without human intervention. This occurs frequently in industry 4.0. Production machines feed the ERP with real-time business process data to improve decision making. In this way, without any human having to verify anything, the ERP automatically knows the traceability of the production, of which lot was what material " batch record " or if some of the machines are missing oil. For example, thanks to IoT, a production machine is managed remotely, using temperature limits and other settings to conserve energy and reduce costs. You can also indicate where the product is in the production or what percentage of the product is already manufactured.

With the i-ERP, all data relevant to the company's activity is collected within the same data warehouse. This allows the time to obtain analysis or search results to be reduced, since they are displayed in real time. The i-ERP recognizes the relevant data for each context thanks to previous experiences " learning with machine learning ". For example, an ERP system for a pharmaceutical laboratory has more than 1 million entries of different combinations of chemical element tests along with their results. Thanks to the possibility of being able to consult in real time, you can check which combination of chemical elements is the one that gives the best result for a certain case. If all the data were distributed in different data stores, the search process would take longer.

If you need a quick response to the search results, this is very useful for service organizations such as call centers. Customers call the company to know the status of an invoice or for an incident. The client tells the company answering machine what the reason for their contact is. Thus, the i-ERP recognizes the subject for what the client has mentioned and is directed to the same operator with whom he has had a previous satisfactory experience or to another who is an expert in solving a type of problem. In this way, the user experience is improved.

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