Developing a Credible and Trustworthy E-Commerce Application using Blockchain and Machine Learning

DOI

10.2991/978-94-6463-314-6_23How to use a DOI?

Keywords

Block chain; Price Suggestion; NLP; Fake Product; Spam Reviews; Product Quality Detection

Abstract

Electronic Commerce or E-commerce is the buying or selling of goods online, over the internet. Nowadays, people are spending most of their daily life online. A business of any scale, be it a start-up or a well-grown company, can benefit from E-commerce. It helps them reach a broader consumer base and reduce operational costs. From a customer’s point of view, it is convenient for the customer to shop from their home, without visiting several shops before buying a product. Also, they can compare various products across various brands easily, with the help of their computer or their Mobile Phone. E-Commerce applications have some associated problems. One major issue is that a seller might dispatch and deliver a fake product to a customer, who had already paid for the product. Though there are mechanisms such as ‘Return & Replace the product’, the fake products need to be identified first. This can be addressed using a Blockchain-based Supply Chain. Each product will have a QR Code, which a manufacturer provides, and at each step in the product’s movement during delivery to the customer, the components of the supply chain such as the Delivery Agency can update their details associated to the QR Code and at any point of time, the QR Code can be scanned to verify the product’s authenticity. One more issue is that products of the same type may have a huge variation in their prices, due to a lot of sellers selling the same type of product. So, it is helpful to predict the price a product deserves, so that a unified cost for that product can be achieved and it gives a potential customer a good idea of the estimated-deserved price for the product. The quality of a product can be estimated based on customers’ reviews. This is done using various Machine Learning approaches. Also, in an e-commerce application, the customers might give spam reviews - they might glorify the product, or try to degrade the product, different from what the product actually deserves. Such spam reviews are identified using Machine Learning & Natural Language Processing approaches.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - V. Baby
AU  - G. Avinash Reddy
AU  - K. Yogendra Sai
AU  - K. Sree Harshitha
AU  - N. Padmini Chowdary
PY  - 2023
DA  - 2023/12/21
TI  - Developing a Credible and Trustworthy E-Commerce Application using Blockchain and Machine Learning
BT  - Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)
PB  - Atlantis Press
SP  - 229
EP  - 238
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-314-6_23
DO  - 10.2991/978-94-6463-314-6_23
ID  - Baby2023
ER  -