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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53797

SmartExit: AI Powered Frictionless Checkout System - A Review

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53797

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53797

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

PJ

Paras Joshi1

SK

Samruddhi Kadam2

JK

Janhavi Kongari3

DL

Divya Lipte4

PRP

Prof. Runal Pawar5

Author Services & Downloads

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Abstract

Long queues and slow billing counters often frustrate customers and slow down retail operations. SmartExit addresses this issue by introducing a frictionless checkout system that lets customers scan products, make payments digitally, and exit without waiting in line or interacting with a cashier. Developed using Flutter with Firebase as the backend, it ensures secure authentication, real-time synchronization, and cloud-based storage through Firestore. The system integrates seamlessly with trusted payment gateways like Razorpay, Stripe, and Paytm for instant and secure transactions. With features such as barcode scanning, smart cart management, and contactless verification, SmartExit enhances both efficiency and user convenience. Designed to be scalable, flexible, and user-friendly, it provides retailers with a modern, technology-driven solution that transforms the traditional checkout experience into a faster, smarter, and more seamless process aligned with today’s digital retail expectations.

KEYWORDS

Frictionless Checkout SmartExit Self-Checkout Digital Payments Retail Automation Barcode Scanning RFID NFC Mobile App React Native FastAPI Customer Experience.

Cite This Article

Paras Joshi1, Samruddhi Kadam2, Janhavi Kongari3, Divya Lipte4, Prof. Runal Pawar5, "SmartExit: AI Powered Frictionless Checkout System - A Review," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53797

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Publication Date

11/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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