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Original scientific article

IMPLEMENTING UIPATH IN SAP ERP FOR ACCOUNTS RECEIVABLE MANAGEMENT: STRATEGIES AND OUTCOMES

By
Naren Swamy Jamithireddy Orcid logo
Naren Swamy Jamithireddy

The University of Texas at Dallas , Richardson , United States

Abstract

Accounts Receivable (AR) management is fundamental to the financial activities of an enterprise, as it impacts liquidity, working capital optimization, and exposure to credit risk. Also, while SAP ERP incorporates a basic shell for AR processes, it heavily depends on batch-driven systems, manual validation loops, and fragmented exception handling for invoices, payments, and dunning activities. This is the imbalanced system we aim to rectify in this paper, wherein we discuss the design, implement the working framework of RPA systems using UiPath, and analyse the impact of deploying such systems on SAP FI-AR module’s seamless AR management. The system is designed in a way so as to automated transaction matching, running sequence initiation, flagging customer credit holds, and resolving discrepancies through defined bots triggered by SAP status document and aging report s with timed rules. In this experiment, we drew upon the business scenario simulated with over 50,000 AR documents from a diverse set of customers, payment and invoice classes, and regional compliance jurisdictions, enabling us to assess the operational limits of our automation efficiency testbed.

Empirical results are shown in a 61% reduction in reconciliation exceptions and a 49% increase in matching accuracy, alongside a greater than 2.3-times acceleration of completion of the dunning cycle for high value overdue accounts. The UiPath framework further decreased the average AR closing time by 3.8 days per cycle and provided real-time audit dashboards which enhanced visibility and cross departmental traceability. Plus, finance practitioners reported enhanced automated intervention, improved trust, and better collaboration between manual credit and automated collections on account of the survey driven feedback. Most notably, the bots maintained high operational system dependability, low negative flagging rates, and sustained high false positive rates proving low-volume trust automation integration autonomy mature, validating the integrations even in stressed financial seasons. This study provides SAP ERP users responsive modular designs focused on transforming AR processes, which can easily be replicated, and builds a basis for imagining AI powered credit acuity in prospective AR strategy frameworks.

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Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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