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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43422

Waitless - Queue Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43422

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

AN

Arya Nair∗1

ASS

Aswathy S Sree∗2

DKS

Dathan K S∗3

NR

Nidhin Raj∗4

SS

Sona Scaria∗5

MPKS

Mary Priyanka K S∗6

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Abstract

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

Queue Management Customer Expe- rience Speech-to-Text Technology Machine Learning Ana- lytics Augmented Reality Navigation

Cite This Article

Arya Nair∗1, Aswathy S Sree∗2, Dathan K S∗3, Nidhin Raj∗4, Sona Scaria∗5, Mary Priyanka K S∗6, "Waitless - Queue Management System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/31/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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