Optimizing Pricing Structures with SAP: A Technical Approach to Condition Records, Price Lists, and Discounts

Abstract

This paper explores the optimization of pricing strategies through SAP’s pricing functionalities, specifically focusing on condition records, price lists, and discount mechanisms. It emphasizes the importance of SAP’s tools in enhancing operational efficiency, revenue growth, and pricing accuracy. By reviewing 15 peer-reviewed articles, the study identifies key benefits such as automation, scalability, and customization, which enable businesses to adapt to dynamic market conditions while reducing errors. However, the research highlights integration challenges, particularly in data migration, compatibility with legacy systems, and the need for comprehensive user training. The paper includes case studies from retail and manufacturing sectors, demonstrating how SAP has successfully improved pricing accuracy and cost efficiency. Furthermore, architectural diagrams illustrate the capabilities of SAP’s pricing modules, and the study proposes the integration of advanced technologies like predictive analytics and AI for future advancements in dynamic pricing. The research concludes with recommendations for further exploration, including comparative studies of SAP and other ERP systems, and the application of SAP tools in small- and medium-sized enterprises (SMEs). This paper contributes to the ongoing discourse on ERP-enabled pricing optimization and offers insights into maximizing SAP’s potential to maintain a competitive edge.