Web Development
Mobile Development
UX/UI Design
Staff Augmentation
CTO as a Service
Dedicated Team
Low code development
Web Development
Mobile Development
UX/UI Design
Staff Augmentation
CTO as a Service
Dedicated Team
Low code development
Solutions
Industries
Technologies
An AI-powered car shopping platform that helps users find the best offers on the cars they want.
Project name
AutoEasy
Duration
6 months
Team
4 members
Industry
Automotive, AI
Technologies
Services
The platform uses AI to automatically create content for pages like car reviews, comparisons, and rankings. Instead of writing everything by hand, the system fills each page using smart templates and available data. This makes it easy to cover many car models and categories. Users can explore different options and find nearby dealerships. All pages are generated in advance, so the site works fast and is easy to browse.
Our task was to implement the front-end from scratch. The site included a large number of dynamic pages such as car reviews, rankings, and categories, all generated with AI. It needed to be fast, mobile-friendly, and optimized for SEO.
The main challenge was making the site SEO-friendly without using server-side rendering. We handled this by pre-generating static HTML pages with AWS Lambda and hosting them on S3. Another challenge was working with third-party APIs. One of them returned dealer offers based on user input, and it needed careful handling to keep things working smoothly.
The design was provided by the client and included a full set of layouts for desktop, tablet, and mobile. Our job was to bring those designs to life in React, with careful attention to layout consistency and performance.
Despite the scale of the platform, we maintained a consistent visual structure using modular components and responsive layout logic.
The homepage leads users to categories like best cars by price, region, or style. From there, they can explore AI-generated car reviews.
Each car make and model has its own page, written by AI and pre-rendered as HTML. These pages include details like specs, pros and cons, safety info, and similar vehicles.
This section showcases top picks across different categories, like best SUVs, affordable sedans, or regional rankings. These pages link to relevant car reviews and are also fully static.
Users can input preferences and location, and receive a list of dealerships offering matching cars. The logic is built around a referral API that connects AutoEasy with verified sellers.
This feature lets users submit their car for sale and get matched with dealers. It’s connected to Carwiser, which handles the offer process in the background.
We set up Google Tag Manager to track clicks, page views, and interactions. That helped the client understand user behavior and optimize the platform over time.
We delivered a full-featured, responsive front-end that supports large-scale AI-generated content. The platform runs on static pages rendered through AWS, offering solid SEO performance without relying on a framework like Next.js.
AutoEasy is now ready to scale, with a flexible structure that can grow as new categories, models, and features are added, while remaining fast, consistent, and easy to use on any device.