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The development of ERP systems is increasingly driven by new ways of using AI, machine learning, and end-to-end automation. Learn what solutions are within reach for your company – discover the benefits and possibilities offered by available innovations.
An ERP (Enterprise Resource Planning) system is a complex set of tools that integrates key areas of a company’s operations from finance and HR to production, logistics, and sales. Modern ERP systems form the technological hub of an organization, and their development is increasingly driven by innovations in artificial intelligence (AI) and machine learning (ML).
Thanks to solutions such as SAP Cloud ERP (S/4HANA Cloud), business systems gain the ability to independently analyze data, predict trends, and suggest the best decisions. Integrating AI with ERP not only automates processes but also significantly increases operational efficiency and precision.
In the rest of this article, we’ll look at how artificial intelligence is changing ERP functionality, what specific applications it has in individual modules, and how solutions offered by SUPREMIS, including SAP Business One, SAP Cloud ERP, Business Technology Platform, Joule, and SAP Analytics Cloud, support companies’ digital transformation.
The role of artificial intelligence in transforming ERP functionality
How AI algorithms are changing the core of ERP
Operating on traditional business rules is giving way to intelligent algorithms that, based on machine learning (ML), can predict, recommend, and automate decisions. Thanks to end-to-end automation of complete business processes, companies gain shorter order fulfillment times, better inventory management, and greater financial liquidity.
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In-memory-based systems such as SAP HANA Cloud enable lightning-fast processing of huge volumes of data, resulting in faster reports, analyses, and forecasts. Data is stored and processed directly in operating memory (RAM) with minimal hardware load, thanks to innovative data compression techniques. SAP HANA’s columnar database is designed to handle both transactional (OLTP) and analytical (OLAP) operations simultaneously within a single system, without needing to separate them.
End-to-end business process automation
One of AI’s biggest advantages in ERP is the ability to automate processes through various types of integrations. Modern ERP systems (such as SAP Business One, SAP Business ByDesign, SAP Cloud ERP) act as an organization’s IT core, to which useful tools can be connected. An example is the SaldeoSMART integration for SAP Business One, which uses OCR (Optical Character Recognition) to read and post data from documents. This makes the invoice entry process up to 50% cheaper and much faster, and fully automates the entire document workflow.
Combining SAP solutions with the complementary cloud tool SAP SuccessFactors automates human capital management (HCM), thanks to advanced analytics and planning supported by AI and ML. SuccessFactors enables real-time data analysis to speed up decision-making processes and helps adapt recruitment strategy to the current situation.
Optimizing resource and supply chain management
Artificial intelligence and machine learning are revolutionizing inventory planning and demand forecasting. In ERP solutions such as SAP Business One, advanced predictive models can be built to manage supply and production more effectively. SAP Business One delivers these capabilities through integration with SAP Analytics Cloud and built-in process automation via intelligent bots.
Additionally, the extended manufacturing add-on BEAS Manufacturing supports production capacity planning and task scheduling. Boyum IT’s platform can be further expanded through additional tools such as the Produmex WMS warehouse management system. This system optimizes logistics, order picking, and inventory management, facilitating control of internal processes and coordinated, timely movement of materials between logistics and production.
Personalization and work ergonomics
Artificial intelligence also affects users’ daily convenience. AI assistants suggest next steps, recommend accounting classifications, and automatically adapt the interface to the user’s role. In SAP systems, a key element of this experience is SAP Fiori, a consistent, modern work environment accessible on any device. It’s role-based in operation and adapts to how the user works, positively affecting both productivity and satisfaction.
Specific AI applications in ERP modules
AI in accounting and finance
AI supports accounting on many levels: from automatic invoice reading (OCR) to predicting payment deadlines and analyzing credit risk. Thanks to SAP Business One’s integration with tools such as SaldeoSMART, financial processes become faster, more transparent, and more error-resistant. The application uses OCR technology to read paper and electronic documents (e.g., invoices). Scanned invoices are analyzed, key information is extracted, and then imported directly into the SAP B1 system, greatly streamlining the accounting department’s work and eliminating the need for manual data entry.
AI in logistics, commerce, and manufacturing
In logistics and manufacturing, AI is responsible for demand forecasting, stock optimization, and production planning. Solutions such as Produmex WMS and BEAS Manufacturing support operational efficiency, while SUPREMIS E-commerce provides ERP integration with B2B/B2C platforms, keeping product and inventory data always up to date.
SUPREMIS E-commerce is an online sales platform built with PWA (Progressive Web App) technology. The platform is based on an open-source engine, ensuring flexibility, scalability, and the ability to create new features. Full two-way integration with SAP systems, particularly SAP Business One, enables data updates, product control from both the store and ERP side, multistore operations (managing multiple stores from a single admin panel), CRM coordination, order documentation, promotion management, SEO support, and the introduction of up-selling and cross-selling mechanisms.
Data analysis and risk management
Advanced Business Intelligence tools, such as SAP Analytics Cloud (SAC), use AI to predict margins, demand, and cash flow. Thanks to Smart Insights and Smart Discovery features, even people without analytical expertise can create reports and “what-if” scenarios supporting everyday business decisions. The decision-making process relies solely on facts and verifiable data.
Intelligent mechanisms in finance and accounting have concrete applications in minimizing the risk of losses; they can help predict payment delays and manage credit limits and debt collection. In the context of logistics, predictive maintenance minimizes the risk of downtime and reduces equipment maintenance costs.
AI assistant in ERP – what it can really do
AI assistants in ERP are more than chatbots; they can hold natural-language conversations, point to solutions, suggest actions, and connect data from different modules, realizing the “next best action” concept. In an accessible and intuitive way, they support sales, service, and finance, while shortening response times to customer needs.
The most concrete example of an AI assistant in SAP’s portfolio is Joule, described as a generative copilot. Users can communicate with SAP Joule via text or voice, asking questions, requesting guidance, creating a chart, or generating information based on data stored in the SAP system. Thanks to Joule, an employee can, for example, instantly access a chosen customer’s latest order, minimizing the risk of human error.
Joule fits into a broader trend of introducing copilots into ERP systems, whose role is to assist, summarize data, suggest steps, and streamline tedious tasks (e.g., invoice descriptions or report drafts).
AI tailored to company needs
Vendors such as SAP develop AI embedded in their systems (Embedded AI), but also allow companies to independently expand the software’s capabilities in this area. The technical layer made available by the manufacturer, AI Foundation on the SAP Business Technology Platform, serves as a base for AI-driven innovation. It includes a set of ready-made AI-based services and tools that let developers and partners build AI-based extensions and applications within the ERP system. AI Foundation supports the development of, among other things, chatbots and automated decision engines that can be integrated with SAP S/4HANA and SuccessFactors systems, as well as AI agents.
Mini case studies: how ERP implementations impact business
SUPREMIS customer experiences show that implementing SAP systems brings real, measurable results:
How to choose an ERP with AI for your company
Solution evaluation criteria
When choosing an ERP system with AI, it’s worth paying attention to:
These elements form the stable foundation of the entire system, determining the future quality of use and the level of ROI.
Systems such as SAP Business One, SAP Cloud ERP, or SAP ByDesign offer flexibility and full compliance with legal requirements, while SUPREMIS provides implementation support and access to a range of local extensions, including JPK, KSeF, and GDPR (RODO).
Implementation path and change management
The ERP implementation process takes place in stages from analysis, through employee training, to production launch. SUPREMIS uses the Agile methodology, which allows it to respond quickly to customer needs, efficiently control budgets, limit expenses, and effectively measure key performance indicators (KPIs) such as DSO or forecast accuracy.
AI agents
Today, the daily use of agentic AI, otherwise known as intelligent agents that independently carry out assigned tasks, is already becoming essential for business. They can act as virtual assistants, helping plan and coordinate company activities (calendar management, email, reminders, answering questions), but also perform more advanced tasks related to budgeting, investment planning, resource allocation, or risk analysis. Agentic AI also serves as round-the-clock technical support or a bonus tool for the marketing department.
Incorporating AI agents into a company’s daily workflow is another step toward fully automated business processes.
AI × IoT × Industry 4.0
Integrating artificial intelligence with the Internet of Things (AIoT) enables the creation of ERP systems that respond in real time by rapidly processing information gathered from IoT devices, such as subtle changes in parameters compared to historical data; these systems can, for example, predict machine failures and automatically order replacement parts. Predictive maintenance can significantly reduce equipment upkeep costs.
AIoT also supports logistics and supply-chain optimization, and in sectors requiring strict control, such as food or pharmaceuticals, it helps meet rigorous regulatory standards (e.g., HACCP, GDP), reduce losses, and improve supply management.
Hyperautomation and the “real-time enterprise”
Hyperautomation combines AI, RPA (Robotic Process Automation), and stream analytics, aiming to automate business activities end-to-end. While AI is used to automate decisions and perform advanced functions such as forecasting, analysis, and risk response, Robotic Process Automation acts as the “glue” connecting AI with processes, carrying out repetitive, routine tasks such as invoice processing. In hyperautomation, RPA bots work together with intelligent algorithms.
ERP systems based on in-memory databases, integrated hyperautomation, and continuous event streaming make it possible to realize the “real-time enterprise” concept — a management model with maximally shortened response times to market events, changing customer expectations, and unforeseen situations.
How does AI in ERP differ from ERP with AI add-ons?
AI embedded in the system, as in SAP Cloud ERP, works natively and comprehensively. Add-ons, such as SaldeoSMART, on the other hand, extend selected functional areas of the system in use, such as accounting.
Can small companies also use AI in ERP?
Yes. SAP Business One and SAP Business ByDesign are solutions designed for SMEs: scalable, flexible, and ready for integration with AI modules.
How quickly is ROI visible after implementing AI?
The first effects appear almost immediately; for example, demand prediction improves forecast accuracy.
Is using AI within ERP compliant with GDPR and KSeF?
Yes, SUPREMIS provides legally compliant extensions, and SAP’s cloud solutions guarantee data security.
Do I need data scientists to use AI in ERP?
No. Implementing AI in ERP systems makes work easier for ordinary users and largely eliminates the need for specialized knowledge. Daily use is made easier by a user-friendly interface and extensive automation. Intelligent ERP systems can remind and suggest actions, as well as propose an optimal interface layout tailored to the user’s needs.
Key takeaways for decision-makers
Integrating AI with ERP is no longer a luxury today, but a condition for growth. The greatest benefits come from implementing AI functionality in finance, logistics, and sales prediction departments. After deciding on a technological transformation, it’s worth starting with a small pilot project (Proof of Concept), measuring results, and developing the capabilities of scalable ERP solutions according to the company’s needs.
A partner such as SUPREMIS, an SAP Gold Partner, provides not only technology but also know-how and ready-made extensions that make implementation smooth and secure.
Take control of your company’s digital transformation
Contact SUPREMIS experts, see a demo of the latest SAP solutions, and find out how AI modules can increase your organization’s efficiency.
We also offer training in SAP HANA and the use of AI features in ERP for finance, sales, and logistics teams.
Take the first step toward becoming an intelligent enterprise.
Checklist: Readiness for AI implementation
Before you start implementing AI features in your ERP system:
If you're interested in improving how your company operates, get in touch with us to learn more.
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