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This research examines how smart queue management systems (SQMS) can improve customer flow and service quality in service-oriented industries. Using a quantitative comparative research design, the paper evaluates performance metrics—waiting times, throughput and customer satisfaction of pre- and post-SQMS implementation based on 30 frontline staff and customer respondents. SQMS controls the waiting and queues effectively much more, results suggest that it helps to lower queue sizes, wait time consistent and makes operations transparent through included features digital tokening, real-time status updates and queue analytics. According to user comments, satisfaction with the service has been rising since convenience and fairness improvement effects have outscored some technical problematic aspects such as system lag time and delicacy of interface. Insights from the study underscore the benefits of user-driven design and evolving iterative development, to inform enhancements such as mobile integration with staff dashboards. In general, this research contributes to the empirical evidence in favoring of taking SQMS as an effective mean for improving service performance and customer experiences across various industries.
Keywords:
Smart Queue Management System, Customer Flow, Service Quality, Digital Ticketing, Real-time Queue Updates, Queue Analytics, User Experience, Operational Efficiency, Customer Satisfaction, Human-Computer Interaction, Service Flow Management
Cite Article:
"The Role of Smart Queue Management Systems in Enhancing Customer Flow and Service Quality", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b314-b324, October-2025, Available :http://www.ijrti.org/papers/IJRTI2509140.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator