Research Authors
Muhammad Jafar Sadeq, S. Rayhan Kabir, Rafita Haque, Jannatul Ferdaws, Md. Akhtaruzzaman, Rokeya Forhat & Shaikh Muhammad Allayear
Asian University of Bangladesh (AUB) |
Daffodil International University (DIU) |
Computer Science & Engineering Research Groups
Conference / Book Information
Information and Communication Technology for Competitive Strategies (ICTCS)
Publisher: Springer Nature Singapore
Page Range: 359 – 368
Online: 18 November 2021
Digital Object Identifier (DOI)
10.1007/978-981-15-3284-9_39
10.1007/978-981-15-3284-9_39
Abstract
Price hike is common and one of the major issues all over the world. The prices of daily necessities are increasing day by day. Many shops, restaurants and transport systems are charging extra price from the customers over the products’ expected or maximum retail price. Moreover, in special occasions, such as festivals, the sellers take high price from customers. Furthermore, unauthorized VAT or other taxes are charged on products on which such taxes are exempted by the government. This study proposes a Cloud of Things (CoT)-based model for monitoring the products’ price during transactions, where a cloud server maintains historical pricing data and maximum retail prices. Two algorithms run on the server based on live invoice data from sellers and customer feedback to detect unfair price hike.
CLOUD COMPUTING & IoT | SPRINGER NATURE | 2021