This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Dinesh Swami,
Sneha Soni,
Snehlata Barde,
R. Bharath Kalyan,
N. Sai Prapul,
Y. Praveen Reddy,
Y. Chandrasekhar Reddy,
- Assistant Professor, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
- Student, Department of Computer Science & Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India
Abstract
The rapid growth of e-commerce has transformed how consumers purchase products and interact with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction in many platforms. The Tailor Craft E-Commerce project aims to bridge these gaps by designing and developing a full-stack web application dedicated to clothing retail. The system focuses on simplicity, reliability, and security, offering a user-friendly interface, robust product catalog, responsive search and filter options, smooth shopping cart management, and transparent checkout and pay- ment systems. It integrates Razorpay for secure payments and includes an order tracking feature to keep customers informed at every stage. An admin panel further empowers store managers to handle products, users, and orders effectively. Developed with React.js for the frontend, Node.js/Express.js for backend services, and MongoDB for data storage, the system demonstrates modern web development practices. Testing results indicate strong performance, improved usability, and high secu- rity. Beyond the technical implementation, this project provides insights into the importance of usability, trust, and transparency in e-commerce design. The project also outlines future extensions, including artificial intelligence for product recommendations, augmented reality (AR) try-on systems, mobile app development, and expansion into a multi-vendor marketplace. Overall, Tailor Craft contributes to both academic research and practical solutions in the evolving digital shopping landscape.
Keywords: E-commerce, Tailor Craft, React, Node.js, Mon- goDB, Razorpay, ER Diagram, Data Flow Diagram, System Architecture
Dinesh Swami, Sneha Soni, Snehlata Barde, R. Bharath Kalyan, N. Sai Prapul, Y. Praveen Reddy, Y. Chandrasekhar Reddy. A Review on Tailor Craft E-Commerce: Design, Implementation and Evaluation. Journal of Advanced Database Management & Systems. 2026; 13(01):-.
Dinesh Swami, Sneha Soni, Snehlata Barde, R. Bharath Kalyan, N. Sai Prapul, Y. Praveen Reddy, Y. Chandrasekhar Reddy. A Review on Tailor Craft E-Commerce: Design, Implementation and Evaluation. Journal of Advanced Database Management & Systems. 2026; 13(01):-. Available from: https://journals.stmjournals.com/joadms/article=2026/view=242277
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Journal of Advanced Database Management & Systems
| Volume | 13 |
| 01 | |
| Received | 12/01/2026 |
| Accepted | 10/02/2026 |
| Published | 30/04/2026 |
| Publication Time | 108 Days |
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