Artificial Intelligence in ERP Quality Management Modules: A Comparative Analysis of SAP and Infor
DOI:
https://doi.org/10.18690/Keywords:
Enterprise Resource Planning (ERP) , Quality Management (QM), Artificial Intelligence (AI), SAP, Infor, Comparative Analysis, Digital TransformationAbstract
Enterprise Resource Planning (ERP) systems are widely recognised as strategic enablers of digital transformation, integrating core business functions and supporting operational efficiency. Quality Management (QM) is a pivotal component of their curriculum, critical in ensuring compliance, sustaining competitiveness, and driving continuous improvement. Recent advancements in artificial intelligence (AI) have further augmented the potential of ERP systems by facilitating predictive analytics, anomaly detection, and intelligent process automation. However, the integration of AI into ERP-based QM has not yet been systematically examined in academic research. The present article addresses this gap by comparing two leading ERP vendors, SAP and Infor, focusing on their AI-enabled QM modules. The study utilises academic literature, industry reports, and vendor documentation to demonstrate that SAP emphasises horizontal breadth and positions its QM functionalities as part of a global digital core. Concurrently, Infor prioritises vertical specialisation, customising its QM functionalities to meet the distinct needs of specific industries and augmenting them with advancements in AI and generative AI. The findings contribute to theory and practice by demonstrating how ERP vendors differentiate their approaches to AI integration in QM. The present study contributes to the extant literature on ERP and Total Quality Management (TQM) by extending the current body of knowledge in this area. It highlights the strategic role of AI in shaping ERP value creation. It provides managerial guidance for organisations evaluating ERP systems in the context of quality assurance, sustainability, and digital transformation.
References
Al Jabri, I. M., & Roztocki, N. (2015). Adoption of ERP systems: Does information transparency matter? Telematics and Informatics, 32(2), 300–310. DOI: https://doi.org/10.1016/j.tele.2014.09.005
Boston Consulting Group. (2025). GenAI can revolutionise ERP transformations. BCG. Retrieved from https://www.bcg.com/publications/2025/gen-ai-can-revolutionize-erp-transformations
Bradford, M. (2015). Modern ERP: Select, implement, and use today's advanced business systems. Lulu Press.
Cebekhulu, B. M. B., & Ozor, P. A. (2022). The influence of quality management and ERP systems on organisational culture and performance. Proceedings on Engineering Sciences, 4(1), 41–50. DOI: https://doi.org/10.24874/PES04.01.007
Davenport, T. H. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121–131. DOI: https://hbr.org/1998/07/putting-the-enterprise-into-the-enterprise-system
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. DOI: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., & Wright, A. H. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Gartner. (2023). ERP market trends. Retrieved from https://www.gartner.com/en/documents/5525695
Haddara, M., & Zach, O. (2012). ERP systems in SMEs: An extended literature review. International Journal of Information Science, 2(6), 106–116. DOI: https://doi.org/10.5923/j.ijis.20120206.06
Hananta, S. A., & Susyanti, J. (2024). Implementation of Total Quality Management (TQM) in organisations and business: A literature review. International Journal of Economics and Management Research, 3(2), 322–332. DOI: https://ijemr.asia/index.php/ijemr/article/view/227
Holland, C. P., & Light, B. (1999). A critical success factors model for ERP implementation. IEEE Software, 16(3), 30–36. DOI: https://doi.org/10.1109/52.765784
Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. DOI: https://doi.org/10.1177/1049732305276687
Huang, Y.-Y., & Handfield, R. B. (2015). Measuring the benefits of ERP on supply management maturity model: A "big data" method. International Journal of Operations & Production Management, 35(1), 2–25. DOI: https://doi.org/10.1108/IJOPM-07-2013-0341
IDC. (2024). Worldwide Enterprise Applications Revenue Grew 12.0% in 2023 and Is Forecast to Surpass $600 Billion in 2028, According to IDC. IDC. Retrieved from https://my.idc.com/getdoc.jsp?containerId=prUS52371124
Infor. (2025a). Infor Coleman AI platform: Data sheet. Infor. Retrieved from https://181151.fs1.hubspotusercontent-na1.net/hubfs/181151/downloads/infor_coleman_ai.pdf
Infor. (2025b). Infor OS: A complete overview. Infor. Retrieved from https://www.infor.com/resources/infor-os-a-complete-overview
Infor. (2025c). Infor CloudSuite platform brochure. Infor. Retrieved from https://www.infor.com/resources/infor-cloudsuite-platform
Infor. (2025d). Infor Complements its Industry Cloud Platform with Enterprise Quality Management and Environmental, Health & Safety Solutions from ETQ. Infor. Retrieved from https://www.infor.com/news/infor-partners-with-etq
Infor. (2025e). Infor CloudSuite Quality Management (QMS) module: Functionalities and standards supported. Infor. [Available from Infor CloudSuite Industrial Quality Management (QMS) Module]
Infor & AWS. (2024). Bringing the power of AWS generative AI to Infor's industry-first approach. Infor. Retrieved from https://www.infor.com/blog/bringing-the-power-of-aws-generative-ai-to-infor
Madapusi, A., & D'Souza, D. (2012). The influence of ERP system implementation on the operational performance of an organisation. International Journal of Information Management, 32(1), 24–34. DOI: https://doi.org/10.1016/j.ijinfomgt.2011.06.004
Microsoft. (2023a). What is ERP? Microsoft. Retrieved from https://www.microsoft.com/en-us/dynamics-365/resources/what-is-erp
Microsoft. (2023b). AI-Powered ERP Solutions - Dynamics 365. Microsoft. Retrieved from https://www.microsoft.com/en-us/dynamics-365/solutions/erp
Mourtzis, D., Vlachou, E., & Milas, N. (2016). Industrial big data as a result of IoT adoption in manufacturing. Procedia CIRP, 55, 290–295. DOI: https://doi.org/10.1016/j.procir.2016.07.038
NetSuite. (2025). 8 ERP trends and 4 predictions for 2025 & beyond. NetSuite. Retrieved from https://www.netsuite.com/portal/resource/articles/erp/erp-trends.shtml
Oracle. (2023). Oracle Fusion Cloud ERP. Oracle. Retrieved from https://www.oracle.com/erp/
Panetto, H., Iung, B., Ivanov, D., Weichhart, G., & Wang, X. (2019). Challenges for the cyber-physical manufacturing enterprises of the future. Annual Reviews in Control, 47, 200–213. DOI: https://doi.org/10.1016/j.arcontrol.2019.02.002
Panorama Consulting Group. (2023). 2023 Clash of the Titans: SAP vs. Oracle vs. Microsoft vs. Infor. Panorama Consulting Group. Retrieved from https://4439340.fs1.hubspotusercontent-na1.net/hubfs/4439340/Reports/Clash%20of%20the%20Titans/2023-Clash%20of%20the%20Titans%20-%20Panorama%20Consulting%20Group.pdf
Panorama Consulting Group. (2025). 2025 Clash of the Titans: SAP vs. Oracle vs. Microsoft vs. Infor. Panorama Consulting Group. Retrieved from https://dam.infor.com/api/public/content/950efa0c7d3447fab9fe1b3f77c96c80?v=dc24bef1
Pokala, P. (2024a). Artificial intelligence in enterprise resource planning: A systematic review of innovations, applications, and future directions. SSRN. DOI: https://doi.org/10.5281/zenodo.14170247
Pokala, P. (2024b). The integration and impact of artificial intelligence in modern ERP systems: A comprehensive review. SSRN. DOI: https://doi.org/10.5281/zenodo.14050064
Psomas, E., & Antony, J. (2017). Total quality management elements and results in higher education institutions: The Greek case. Quality Assurance in Education, 25(2), 206–223. DOI: https://doi.org/10.1108/QAE-08-2015-0033
SAP Help Portal. (2025). Quality Management (QM) — SAP S/4HANA. SAP. Retrieved from https://help.sap.com/docs/SAP_S4HANA_ON-PREMISE/9905622a5c1f49ba84e9076fc83a9c2c/e2f8f94be737403696eeea0e2be80d87.html
SAP. (2023). What is SAP Cloud ERP? SAP. Retrieved from https://www.sap.com/products/s4hana-erp.html
Spathis, C., & Ananiadis, J. (2005). Assessing the benefits of using an enterprise system in accounting information and management. Journal of Enterprise Information Management, 18(2), 195–210. DOI: https://doi.org/10.1108/17410390510579918
Sternad Zabukovšek, S., & Bobek, S. (2025). Using the technology acceptance model for factors influencing acceptance of enterprise resource planning solutions. In M. Khosrowpour (Ed.), Encyclopedia of information science and technology (6th ed., pp. 1–28). IGI Global. DOI: https://doi.org/10.4018/978-1-6684-7366-5.ch073
Susiati, D., Judijanto, L., Suprayitno, D., & Suarni, E. (2024). Integration of Total Quality Management (TQM) in business practice: A bibliometric analysis. West Science Business and Management, 2(1), 56–63. DOI: https://doi.org/10.58812/wsbm.v2i01.736
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135–146. DOI: https://doi.org/10.1016/j.indmarman.2017.12.019
Tang, Y., Sun, Y., & Xu, H. (2025). FinRobot: Generative business process AI agents for ERP in finance. arXiv preprint arXiv:2506.01423. Retrieved from https://arxiv.org/abs/2506.01423
Xu, Z., Zhang, W., & Li, J. (2025). Chatting with your ERP: A recipe. arXiv preprint arXiv:2507.23429. Retrieved from https://arxiv.org/abs/2507.23429
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
Zach, O., Munkvold, B. E., & Olsen, D. H. (2012). ERP system implementation in SMEs: Exploring the influences of the SME context. Enterprise Information Systems, 8(2), 309–335. DOI: https://doi.org/10.1080/17517575.2012.702358
Zeng, J., Phan, C. A., & Matsui, Y. (2015). The impact of hard and soft quality management on quality and innovation performance: An empirical study. International Journal of Production Economics, 162, 216–226. DOI: https://doi.org/10.1016/j.ijpe.2014.07.006
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Copyright (c) 2025 Staš Heric, Samo Bobek, Simona Sternad Zabukovšek
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