Artificial intelligence is a powerful technology which employs machine learning. From Siri to self-driving cars, AI is progressing rapidly. Almost all areas of enterprises have been disrupted with AI technology. In fact, multiple companies are already making use of AI because of its capability to provide meaningful insights which can help boost profits and innovation. AI-powered intelligent ERP systems work best to optimize operational models, improve business processes and reduce operational costs. AI enabled ERP Systems can perform daily operations done by humans in the overall business process model of an organization. This results in boosting the company’s efficiency and people’s capabilities as it eliminates human errors and streamlines repetitive and dull tasks.

Capability and Impact of AI Enabled ERP systems

AI solutions are capable of learning, reading, speaking, responding, analyzing and showing behaviors and intelligence alike humans. AI-enabled applications can be customized to learn multiple significant business operations to gain a competitive edge. ERP systems implemented with AI capabilities can assist companies in uncovering and leveraging a large amount of structured data. The useful insights from data can be useful for businesses to reduce error-prone mundane activities.

AI-enabled applications can also make predictions and execute transactions. This continuously developing technology is also coming to light in improving customer services and maintenance of business. With the use of AI technology, customer engagement can be improved by using social media channels. There will be no need to do manual interactions with ERP systems if AI is combined with automation capabilities. AI can benefit in ERP maintenance. Because AI enabled ERP systems can be put to use digital assistants to help technology experts to find out core reasons for all types of maintenance problems.

Here are a few examples to illustrate how AI can pave a way into ERP applications:

1. Automation with cognitive features is intended for doing job duties that are knowledge-based. For instance, to respond and answer requests sent through customer support. When you embed cognitive automation with an ERP system, it can imitate the thought process of human staff and make decisions.

2. Computer vision is the science whose aim is to apply machine learning and similar functionalities to visual inputs like images and videos. This can be enabled in ERPs to track trends through graphical representations and charts or for automatically tagging employees in company video alerts and photos.

3. Intelligent automation uses machine learning and natural language processing that makes ERP systems intelligent ERPs. Because now they are capable of learning and understanding. For example, Google’s self-driving cars is an intelligent automation system.

Overall, AI can take ERP a step forward, and add value in the matter of improving processes, simplifying routine tasks, saving time, reducing operational costs and enhancing the bottom line of the organization.