Table of contents
In this article, you will learn:
- Which areas of ERP system operations will be influenced by Artificial Intelligence
- How the future of ERP is being shaped in combination with AI
- How AI will impact ERP system efficiency
- Which AI functions are already supporting business operations
Modern technology can now increase employee efficiency by up to 66%, eliminating human error in the most time-consuming processes, from invoicing to supply chain management. Implementing AI ERP is becoming a foundation for IT leaders and business owners who want to transform their companies into organizations fully driven by data and precise real-time analytics. Artificial intelligence in ERP systems takes over routine operational tasks, freeing up resources for high-priority strategic activities. Thanks to solutions like ERP process automation, your company will gain not only autonomy in decision-making but, above all, a lasting competitive advantage in a dynamic market.
Which aspects of ERP will be influenced by AI?
In the manufacturing industry (and beyond) RPA and ERP are becoming a necessity, to maintain competitiveness, but since roughly 2022, there has been a boom in AI and ML solutions in the workplace. This is not surprising – artificial intelligence is capable of significantly improving operational efficiency and also influences many aspects of how ERP systems function. One of the most fundamental functions of AI ERP is process automation – ERP systems themselves already contribute significantly to automating routine tasks, such as invoice processing or order management, but their combination with artificial intelligence allows for even shorter lead times and minimizes the risk of human error. Other changes in ERP possible to implement through the use of AI include advanced data analysis capabilities – artificial intelligence is able to process amounts of data that the best analysts could only dream of, which allows for generating more precise and comprehensive reports. This also helps in identifying patterns and trends that are difficult to detect using traditional analysis methods. Another application of artificial intelligence in ERP systems is improving the daily functioning of a company. AI can be used, for example, for team management and recruitment, as well as in business processes such as supply chain management or analyzing user behavior and activity within the system to prevent security breaches.What does the future outlook look like?
The future of AI ERP looks quite promising, as evidenced by the projected CAGR for the industry – according to a Markesearch report, it will reach 25.5% from 2024 to 2033. And what can we expect? Which development directions will the sector choose? It is certain that ERP systems will become increasingly autonomous – AI will be able to make operational decisions in real-time without the need for human intervention, for example, it will be able to automatically order materials when stock levels fall below allowed thresholds. ERP systems in the future will also be more personalized; users, thanks to AI and no-code/low-code solutions, will be able to adapt them to their individual needs. It can also be assumed that artificial intelligence will analyze user behavior and adjust its operation accordingly, which will increase work efficiency and user comfort. Another predicted change in ERP will be AI-powered intelligent assistants that will support users in their daily tasks. One can be certain of further technological development and the integration of AI ERP with other technologies, such as the Internet of Things, blockchain, or cloud computing. The future of ERP systems also means greater flexibility and scalability – thanks to the use of AI, companies will be able to react to changes faster. The development of technology will also make AI ERP more accessible to smaller companies, which will reduce the barrier to entry.Efficiency changes after introducing AI in ERP – how much will we feel them?
Efficiency changes in ERP thanks to the use of AI are visible at first glance in the area of data processing – thanks to AI capabilities, it is possible not only to speed up this process but also to increase the amount of data that can be analyzed, filtered, and processed, which can shorten task completion times in this area by up to several dozen percent. AI ERP can also reduce the number of errors resulting from manual processes. Systems of this type are also optimized for resource management, which leads to more effective use of both human and material resources – as Nielsen Group research shows, generative AI can increase employee efficiency by up to 66%! The efficiency of AI ERP also stems from supporting managers in making more accurate and faster decisions regarding, for example, project management, resource allocation, or risk identification. This not only shortens project lead times and improves their quality but also translates into increased customer satisfaction and sales results. Another advantage of ERP in business and the integration of the system with AI is access to real-time data, which allows for monitoring key KPIs on an ongoing basis and reacting quickly to any deviations from the norm. This also contributes to transforming the company into a data-driven organization, as management becomes more dynamic and based on measurable information, which leads to better performance at all levels of the organization.AI solutions that currently support business management
Although AI ERP is discussed in the context of the future, there are already solutions that fit this concept. One of them is RPA, robotic process automation, which is most often carried out using platforms such as UiPath, Automation Anywhere, and Blue Prism – they automate repetitive tasks such as data entry, invoice processing, order handling, or document management. AI solutions are also used in Business Intelligence – examples include Tableau, Power BI, and Looker, which, when enriched with AI, allow for real-time data analysis, trend forecasting, and the generation of advanced reports. AI can automatically detect patterns in data, and this translates into a more effective decision-making process. Tools that fit the AI ERP model are also used in management in a broad sense; they are applied, among others, in:- customer relationship management using CRM systems such as Microsoft Dynamics 365, HubSpot,
- team management, for which tools such as Workday or SAP SuccessFactors are used,
- supply chain management using, for example, SAP Integrated Business Planning,
- financial management with the help of OneStream or Adaptive Insights.
