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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51901

PickNClick: AI-Powered Mobile E-commerce Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51901

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Sushmitha Singh1

PKS

Prof. K Sharath2

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Abstract

The fast growth of mobile commerce has given small and medium-sized businesses (SMEs) more chances than ever to build strong online presences. This paper introduces PickNClick, a complete mobile e-commerce platform built on the MERN (MongoDB, Express.js, React Native, Node.js) technology stack and improved with powerful AI and machine learning features. The platform uses collaborative filtering algorithms for smart product suggestions, predictive demand forecasting, natural language processing-driven chatbot integration, and a scalable multi-admin architecture to help SMEs with their biggest problems. Performance evaluation shows that user engagement has gone up a lot. For example, personalised recommendations have led to a 24% increase in conversion rates, development costs have gone down by 40% compared to traditional native development methods, and the app works on iOS, Android, and the web without any problems. Security measures include authentication based on JWT, bcrypt password encryption, and thorough input validation methods. This study adds to what we already know about AI-enhanced mobile commerce platforms and gives small and medium-sized businesses a useful foundation for finding affordable ways to go digital.

KEYWORDS

Mobile E-commerce MERN Stack Artificial Intelligence Machine Learning Predictive Analytics Multi-Admin Architecture Cross-Platform

Cite This Article

Sushmitha Singh1, Prof. K Sharath2, "PickNClick: AI-Powered Mobile E-commerce Platform," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025.

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Publication Date

8/20/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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