Revolutionize Ecommerce App With React, Rust and AI Integration for AR Sales
Overview
A leading e-commerce platform is quite popular in the United States. The client enjoyed high impressions and sales on their online platform due to well-known brands under their roof but has been facing quite a low sales side in the past few months. Upon reaching out to us, several challenges hindered their high sales margins, which were eliminated after implementing the necessary solutions.
Technical Stack
Industry
Retail
Region
United States
Project Size
Non- Disclosable
Highlights
Server-side rendering (SSR) with React improved initial load times by 40%, enhancing the overall user experience.
Conversion rates increased by 15% due to targeted product suggestions.
AI-based fraud detection reduced fraudulent transactions by 30%.
The combination of React and Rust provided a scalable architecture, supporting future growth and feature additions.
Challenges & Solutions
The platform experienced performance bottlenecks during peak shopping seasons, resulting in slow load times and server crashes.
- Solution: We utilized Rust for backend services, taking advantage of its memory safety and concurrency features. This enabled us to build high-performance APIs that significantly reduced response times. By integrating Rust, the platform handled 50% more traffic without any performance degradation, ensuring a smooth shopping experience even during high-demand periods.
The client wanted to provide personalized product recommendations to enhance user engagement and increase sales.
- Solution: We implemented AI algorithms to analyze user behavior and preferences in real time. By deploying machine learning models, the platform offered personalized product recommendations, which increased user engagement. This AI-driven personalization led to a 20% boost in average session duration and a 15% increase in conversion rates.
With growing cyber threats, the platform needed a robust security mechanism to protect user data and transactions.
- Solution: We integrated AI-based fraud detection systems to monitor transactions for suspicious activities. This proactive approach flagged potential fraud, reducing fraudulent transactions by 30%. Rust's inherent security features also contributed to a robust backend, ensuring a secure shopping environment for users.
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Core Features
- Modular and scalable user interface.
- State management and component-based architecture.
- High-performance RESTful APIs.
- Integration with existing databases and third-party APIs.
- Product recommendations using machine learning models.
- Fraud detection to monitor and flag suspicious activities.
- Customer support and query resolution.
No. of Developers
05
Time Frame
March 2023 - Ongoing
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