Customer satisfaction is very important to keep customer retention for any food and retail stores. Waiting time has been found is one of the most important factors to influence customers’ shopping experience and purchase termination rate and customers’ perceptions of retailer service offerings. Increasing customer retention can be achieved by avoiding long waiting time queuing at the checkouts. This paper investigates the current different types of sensor-based technologies in location detection to capture the customers’ behavior and then provides a fundamental optimization mechanism to avoid the long waiting time economically. Various approaches to identify a person’s location are compared in terms of principle and operation. Each makes its contribution to controlling the resources in a better way depending on the expected number of customers at checkout. Through an experiment on a supermarket, this paper contributes value to the improvement of operational resource planning, overcapacity avoiding while not increasing or reducing queues and waiting time of customers. The recommendation that waiting time is perceived by customers as a factor of lower service quality to business managers is given finally.

Original languageEnglish
Title of host publicationImage and video technology
Subtitle of host publicationPSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers
EditorsJoel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
Number of pages12
ISBN (Electronic)9783030397708
ISBN (Print)9783030397692
Publication statusPublished - 27 Jan 2020
Event9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/program.html (program)

Publication series

NameLecture Notes in Computer Science
Volume11994 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
Internet address


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