Lamer.Ind: A Smart and Interactive Online Textile Platform

An integrated solution is crucial to address challenges in managing customer engagement product browsing, and secure payment processing in online retail platforms. This paper presents a Women’s Clothing E-Commerce Platform known as Lamer.ind developed using the JWT, Passport.js, React.js, Flask to offer a seamless shopping experience. The platform integrates personalized recommendations, real-time inventory tracking, and secure payment gateways to enhance user convenience. By streamlining product discovery, order management, and customer support, the platform optimizes interactions for both shoppers and administrators. This paper outlines the platform's methodology, system architecture, and core features, highlighting its effectiveness in improving user satisfaction and operational efficiency in the women’s fashion e-commerce sector.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15518096
Primary Topic
Advances in Cucurbitaceae Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Lamer.Ind: A Smart and Interactive Online Textile Platform

Zenodo (CERN European Organization for Nuclear Research)
Advances in Cucurbitaceae Research
article

Lamer.Ind: A Smart and Interactive Online Textile Platform

article en

Abstract

An integrated solution is crucial to address challenges in managing customer engagement product browsing, and secure payment processing in online retail platforms. This paper presents a Women’s Clothing E-Commerce Platform known as Lamer.ind developed using the JWT, Passport.js, React.js, Flask to offer a seamless shopping experience. The platform integrates personalized recommendations, real-time inventory tracking, and secure payment gateways to enhance user convenience. By streamlining product discovery, order management, and customer support, the platform optimizes interactions for both shoppers and administrators. This paper outlines the platform's methodology, system architecture, and core features, highlighting its effectiveness in improving user satisfaction and operational efficiency in the women’s fashion e-commerce sector.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Advances in Cucurbitaceae Research
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