Empowering Underperforming SMMEs Through Real-Time Data Analysis: Implementing TRACS for Sustainable Business Growth

Costa Synodinos () and Marko van Deventer ()
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Costa Synodinos: North-West University
Marko van Deventer: North-West University

A chapter in Entrepreneurship and Human-Centric Business Strategies for Social and Economic Resilience, 2026, pp 1501-1511 from Springer

Abstract: Abstract The implementation of Technology for Real-time Analytics and Counting for SMMEs (TRACS) aims to support underperforming Small, Medium, and Micro Enterprises (SMMEs) by providing data-driven insights to enhance operational efficiency, customer engagement, and business decision-making. TRACS integrates real-time data collection tools such as point-of-sale tracking, customer flow monitoring, and inventory analysis to equip SMMEs with accessible, actionable information. The TRACS project aims to empower business owners with automated reports to monitor key performance indicators (KPIs) such as sales trends, customer counts, and peak traffic hours. This technology is particularly relevant in resource-constrained environments where traditional business intelligence tools may be inaccessible. Beyond its analytical capabilities, TRACS offers a platform for collaboration between SMMEs, universities, and local municipalities to promote knowledge sharing, entrepreneurship development, and community upliftment. Early-stage implementation within select SMMEs seeks to improve inventory control, improve staff scheduling, and promote more targeted marketing efforts. By addressing the data gap faced by many small enterprises, TRACS aims to contribute to sustainable business growth, economic resilience, and evidence-based decision-making. This paper outlines the development, deployment strategy, and preliminary impact of TRACS, highlighting its potential as a scalable support system for SMMEs across developing economies such as South Africa.

Keywords: People counting technology; SMME; South Africa (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-6415-6_93

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