- Los Angeles
- Fashion
- 24 Weeks
- B2c
- Ruby on Rails, PostgreSQL, React, AWS
Project Brief
The project goal was to create a custom ecommerce application development for a vintage apparel firm, improving user experience, optimising operations, and growing revenues through a strong online platform.
Client Background
The client is a well-known vintage fashion firm headquartered in Los Angeles that specialises in one-of-a-kind, high-quality vintage apparel and accessories. They required a unique ecommerce platform to handle their diversified inventory, optimise operations, and create a smooth buying experience.
Key Challenges:
Solution:
1. Discovery and Planning
We undertook extensive market research and competition analysis to better understand our target audience and their preferences. Detailed stakeholder interviews were conducted to gather needs and establish the project scope. A precise project plan with specific milestones and deliverables was developed to ensure alignment with the client's objectives.
2. Development
We achieved solid speed and scalability by developing the backend with Ruby on Rails. The frontend was built with React to create a responsive and intuitive user experience. AWS was utilised for cloud infrastructure, which provides scalability and dependability, while PostgreSQL was chosen for effective data administration. Spree Commerce was connected to manage the ecommerce functions.
3. Implementation
The implementation was staged, beginning with a beta launch to gather user input and make required changes. To guarantee that the client's staff could implement the system smoothly, comprehensive training sessions and extensive documentation were supplied. Continuous assistance and maintenance were provided after deployment to fix any concerns as soon as possible.
Tools & Technology Used
Ruby on Rails
Backend
Java
Programming Language
AWS
Cloud Services
React
Frontend
PostgreSQL
Database
Features:
Powerful User Experience
The programme provides a fluid single-page checkout approach, resulting in a smooth and powerful user experience. The interface is intended to showcase the distinctive qualities of vintage apparel, resulting in an exciting buying experience.
Wishlist
Users may create wishlists to conveniently access products they're interested in without adding them to their basket. Wishlist items are also utilised to provide customers with particular product recommendations, resulting in more personalised shopping experiences.
Custom Extensions
Integration with Google Analytics and CartStack offers insights into customer behaviour, enabling clients to optimise marketing efforts and better target audiences.
Scalable Infrastructure
Azure offers scalable cloud architecture that can handle increased data volumes while maintaining great speed and dependability.
Secure Payment Gateway
A secure payment gateway was implemented, supporting multiple currencies and payment methods, ensuring a seamless and secure checkout process for customers.