Machine Learning and Artificial Intelligence in ERP
Machine learning and artificial intelligence are among the first places among the developing technology and what this technology has contributed to us. So what do these concepts mean? Let's look at these definitions together.
What is Machine Learning?
Machine learning is considered a subset of artificial intelligence in the literature. Machine learning, as a short definition, is the process of using mathematical and statistical models to enable a computer or system to learn and make predictions without direct instruction. Various algorithms are used in this process to divide the data into patterns. Using these patterns, a data model is created that will make predictions. In order for machine learning to produce more accurate results, the amount of data and experience of this data should be increased. For example, the more we work and practice on a subject as human beings, the more we develop in that subject. The logic of machine learning is also based on this.
What is Artificial Intelligence?
Computer aided systems using artificial intelligence, mathematical and logical structures; It is called the machines that develop and renew their own system with the data they obtain by imitating human intelligence and logic. Artificial intelligence makes predictions by using patterns within the data and draws lessons by analyzing the errors that arise. Thus, it provides more accurate predictions in its next estimation.
The Effect of Artificial Intelligence and Machine Learning on ERP Systems
Today, 37% of enterprises that offer ERP services have implemented artificial intelligence and machine learning solutions within their own structure. In the face of digital disruptions, businesses had to change their business processes. It can be said that artificial intelligence and machine learning have revolutionized the working patterns of businesses. Today's ERP systems are in a very different position than they were five or six years ago.
Let's talk about what artificial intelligence and machine learning add to advanced ERP systems and operations.
1. Processing and Interpreting Data
Today, with the development of technology, a large data density is emerging. This situation is valid for ERP systems. Processing and interpreting this much data density is one of the biggest challenges. Enterprises included in ERP systems; It is a challenging process to process information about their processes, about their customers, about their wishes or behaviors together and to obtain meaningful results from them.
Thanks to artificial intelligence and machine learning integrated into ERP systems, data can be strengthened with artificial intelligence algorithms or patterns. In this way, unwanted situations that may occur in existing work flows can be determined. For example, the relationships between the artificial intelligence integrated into the production module of the production process and the processes involved in the cycle of products can be learned.
2. Automation of Repetitive Processes
Certain processes are carried out regularly and repeatedly in each company. Instead of training a person for these processes, they are simplified and automated thanks to machine learning. Thanks to this ease of machine learning, it saves resources such as time, money and number of employees. Thanks to artificial intelligence and machine learning integrated into ERP systems, for example, the human resources department can be focused on more priority and serious processes or issues.
3.Solving Problems and Estimating Problems
Thanks to the artificial intelligence and machine learning integrated into the ERP system, solutions can be found to the problems in business processes and even help to predict before these problems occur. Artificial intelligence and machine learning integrated into the ERP system examine data related to production processes, for example, and learn with their algorithms. At the end of this learning, the processes that may produce faulty production can be determined and various arrangements can be made in order not to endanger the production process.
4. User Experience
Data about customers can be processed with artificial intelligence and machine learning integrated into the ERP system. Purchasing samples can be created by processing customer data. In addition, it can be easily observed which of the products is most demanded, when customers are coming more, and the transaction times of the customers. Thanks to this acquired information, production processes and resources can be streamlined in line with both customer needs and profitability analysis. Thanks to artificial intelligence and machine learning, demand is predicted so customers can reach their orders without waiting. In this way, the trust and loyalty of the customers is gained. Thanks to artificial intelligence and machine learning, positive changes are achieved in customer relationships.
5. Discovering Your Markets or Other Markets
By processing useful data such as customers' behavior, information (age, gender, etc.), it enables the business to present the products to the customer profile that they need or will need before purchasing. Thanks to artificial intelligence and machine learning, it is even easier for us to explore market opportunities and customer classes. Through machine learning, predictions are made for data and opportunities or market opportunities that the business overlooked can be identified.
6. Better Customer Service
Artificial intelligence and machine learning integrated into ERP systems can be used to produce better solutions to the problems experienced by customers. Thanks to artificial intelligence and machine learning, faster and more practical solutions can be created for customers through artificial intelligence tools and voice assistants.
An artificial intelligence that offers solutions to customers and systems as if there are people in front of them without increasing problems can increase customer satisfaction.
7.Department Integration within the Business
Businesses also have departments and software to ensure that processes and activities run smoothly. Controlling such an abundance of data sources is a difficult issue for businesses. The business needs a single and centralized system that can access all of its data.
Businesses with artificial intelligence and machine learning integrated into the ERP system; You can see the processes of all departments and can easily synchronize them. With artificial intelligence, it is possible to organize all important data in one place. Integration of all departments within the enterprise is easily achieved with artificial intelligence.