Waitless - Queue Management System
Arya Nair∗1, Aswathy S Sree∗2, Dathan K S∗3, Nidhin Raj∗4, Sona Scaria∗5, Mary Priyanka K S∗6
Department of Computer Science Engineering
College Of Engineering,Kidangoor Kottayam,Kerala,India
[1]
aryaragasudha@gmail.com [2]aswathysiva003@gmail.com [3]dathanks7@gmail.com [4] nidhinrajtr2002@gmail.com [5]sonascariasona@gmail.com [6]marypriyanka@ce-kgr.org
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.
INDEX TERMS: Queue Management, Customer Expe- rience, Speech-to-Text Technology, Machine Learning Ana- lytics, Augmented Reality Navigation
