Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches

Modern technology has significantly improved the quality of life for humans. However, with the increase in technology usage, there has been a rise in the number of people visiting shopping malls. As a result, the billing process has become more time-consuming, and customers often have to wait in lon...

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Main Authors: Banoth Ramesh, Bhanu G., Shishia N., Vaishnavi M., Saeed Hazim Y., V Asha, Nijhawan Ginni, Khan Irfan
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01013.pdf
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author Banoth Ramesh
Bhanu G.
Shishia N.
Vaishnavi M.
Saeed Hazim Y.
V Asha
Nijhawan Ginni
Khan Irfan
author_facet Banoth Ramesh
Bhanu G.
Shishia N.
Vaishnavi M.
Saeed Hazim Y.
V Asha
Nijhawan Ginni
Khan Irfan
author_sort Banoth Ramesh
collection DOAJ
description Modern technology has significantly improved the quality of life for humans. However, with the increase in technology usage, there has been a rise in the number of people visiting shopping malls. As a result, the billing process has become more time-consuming, and customers often have to wait in long queues to get their goods billed. To address this issue, we propose the development of a smart shopping cart system that uses RFID and Arduino to keep track of purchased products and generate bills automatically. The main objective of this paper is to reduce the time consumed in the billing process. Our On-go billing Cart with an Automatic Billing System will use an EM-18 RFID Module and Arduino.
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spelling doaj.art-ebf29ebeb9d14057bae82e9a8f446a512024-04-05T07:29:48ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015070101310.1051/e3sconf/202450701013e3sconf_icftest2024_01013Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary ApproachesBanoth Ramesh0Bhanu G.1Shishia N.2Vaishnavi M.3Saeed Hazim Y.4V Asha5Nijhawan Ginni6Khan Irfan7Department of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETRadiology Techniques Department, College of Medical Technology, The Islamic UniversityDepartment of Computer Applications, New Horizon College of EngineeringLovely Professional UniversityLloyd Institute of Engineering & Technology, Knowledge Park IIModern technology has significantly improved the quality of life for humans. However, with the increase in technology usage, there has been a rise in the number of people visiting shopping malls. As a result, the billing process has become more time-consuming, and customers often have to wait in long queues to get their goods billed. To address this issue, we propose the development of a smart shopping cart system that uses RFID and Arduino to keep track of purchased products and generate bills automatically. The main objective of this paper is to reduce the time consumed in the billing process. Our On-go billing Cart with an Automatic Billing System will use an EM-18 RFID Module and Arduino.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01013.pdf
spellingShingle Banoth Ramesh
Bhanu G.
Shishia N.
Vaishnavi M.
Saeed Hazim Y.
V Asha
Nijhawan Ginni
Khan Irfan
Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
E3S Web of Conferences
title Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
title_full Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
title_fullStr Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
title_full_unstemmed Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
title_short Prediction of Stock with On-Go Billing Cart using IoT and Advanced Interdisciplinary Approaches
title_sort prediction of stock with on go billing cart using iot and advanced interdisciplinary approaches
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01013.pdf
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