Performance Efficiency Analysis of a C++-Based POS and Inventory Management System Using Synthetic Transaction Workloads

Authors

  • Melda Dwi Susanti Fakultas Science dan Teknologi, Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan, Jawa Tengah, Indonesia
  • Aliyu Ibrahim Ahmad Fakultas Science dan Teknologi, Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan, Jawa Tengah, Indonesia
  • Zaskiyah Sofarina Fakultas Science dan Teknologi, Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan, Jawa Tengah, Indonesia
  • Najwa Amalia Khoir Fakultas Science dan Teknologi, Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan, Jawa Tengah, Indonesia
  • Imam Prayogo Pujiono Fakultas Science dan Teknologi, Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan, Jawa Tengah, Indonesia https://orcid.org/0009-0005-8043-2720
  • Ahmad Mayere Abdullahi School of Engineering & Technology, Noida International University, Delhi, India

DOI:

https://doi.org/10.51903/rahm1q97

Keywords:

C++, Point of Sale (POS) systems, inventory management, work efficiency, local retail businesses

Abstract

The increasing digitization of retail processes has further escalated the need to have effective software systems that are able to ensure real time transaction integrity, especially in the resource limited local e-commerce settings. Nonetheless, the solutions currently available are based on the managed programming languages, which add a computational overhead and result in unpredictable runtime behavior. This paper explores the performance efficiency of a cashier and inventory management system that is implemented with C++ and focuses on deterministic memory management and a low-level control over the system.This study used an experimental approach, which involved the use of synthetic transaction workloads to simulate retail transaction scenarios, under different conditions, between 1,000 and 100,000 transactions. The main performance indicators, such as execution time, throughput, latency, and memory stability, were systematically measured. The findings prove that the C++-based system has a high throughput, lower latency and constant memory use at all the workload levels, which connotes good scalability and efficiency.The results underscore the benefits of systems-level programming in reducing overhead and enhancing performance in limited environments. This research study adds to the expanding literature supporting low-level optimization of localized e-commerce systems and offers an empirical model of the creation of high-performance retail systems.

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Published

2026-10-28

Issue

Vol. 5 No. 3 (2026): November

Section

Data Mining, Data Science, Database Systems, and Data Warehousing

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Copyright (c) 2026 Melda Dwi Susanti, Aliyu Ibrahim Ahmad, Zaskiyah Sofarina, Najwa Amalia Khoir, Imam Prayogo Pujiono, Ahmad Mayere Abdullahi

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