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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43422
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In today’s fast-paced environment, effective queue management is essential for enhancing customer ex- periences and operational efficiency across sectors like re- tail, healthcare, and transportation. This innovative Queue Management System leverages advanced technologies such as speech-to-text, natural language processing (NLP), and machine learning (ML) to streamline the customer jour- ney and optimize service delivery.The system’s speech-to- text capabilities enable customers to interact naturally, sim- plifying the queue process. Real-time language translation minimizes language barriers, fostering inclusivity and en- suring all customers feel valued. Machine learning analyt- ics analyze customer flow and behavior patterns, predicting peak times and optimizing resource allocation to reduce wait times and congestion, ultimately improving customer satis- faction. Additionally, the system integrates Near Field Commu- nication (NFC) and Augmented Reality (AR) for intuitive wayfinding in complex environments, allowing customers to navigate easily with visual cues and real-time information. Voice-based data collection streamlines feedback processes, while instant notifications keep customers updated on their queue status and any changes in wait times.Overall, this Queue Management System transforms operational pro- cesses and elevates the customer experience. By integrat- ing these advanced technologies, businesses can create a smoother, more efficient queue experience that leads to higher customer satisfaction and improved operational per- formance.
KEYWORDS
Publication Date
3/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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