AutoTrader is an Azerbaijani startup that provides customers in Asia and Africa access to car auctions in the U.S. and the Middle East. AutoTrader holds online auctions through CoPart and IAAI where they offer old, wholesale and repairable vehicles to customers worldwide, from individual buyers to major automotive companies. AutoTrader offers various services to car dealers to help them process and sell repairable vehicles online.
The development process of an automotive company’s website will be explored in this case study. The focus will be on designing, building, and launching a robust website specifically tailored to the unique needs of the automotive auction industry. The primary objective was to create and implement an intuitive platform where visitors seamlessly explore various catalogs and bid for the vehicles which will be facilitated and forwarded to the respective Auction.
Design
Design phase
Our team began the process by designing the UI of the website that is both user-centric and efficient. We focused on facilitating easy navigation for the visitors to find their desired car models and also delivered the relevant information. We achieved this by intuitively combining robust search features with an extensive range of filters that can help users fine-tune their exact searches. Furthermore, our UI design also empowers users to engage in bidding for their chosen vehicles and to get an estimate on custom and shipping costs. To ensure a great user experience for their web application we used hi-fidelity designs to create their Homepage, Search Page, Car details, and bidding page.
Solution
Development phase
To build the Auction Scrapper we utilized Python and Scrappy-based subsystems for a seamless experience that systematically extracts data from CoPart and IAAI auction sites. Its primary focus is to gather information on low-damage vehicles that will be auctioned in the course of the coming two weeks. Once the data collection process is done, it will be then rendered according to AutoTrader’s internal data format for flawless integration. Our Technological Stack for Backend and Frontend development included:
Python
Django
Celery and Celery Beat For managing, scheduling, and concurrent/threaded tasks
RabbitMQ Messaging queue solution for Celery worker nodes.
Traefik For HTTPS reverse proxies on development computers
Jupyter Notebook For real-time, comprehensive troubleshooting and testing
Docker and Docker Compose For networks/pipelines used in development and testing
The main goal of our team was to develop a platform with enhanced features of vehicle listings by providing customers with detailed vehicle data. By focusing on transparency and offering thorough vehicle specifications, we aim to boost confidence among potential buyers, streamline the decision-making process, and increase the chances of successful auctions.
Impact
The result
AutoTrader made great progress on key performance measures. This led to better user engagement, higher conversion rates, and happier customers. Our highly intuitive and user-friendly web app resulted in more engaged users, simplified menu, clear call-to-action buttons, and advanced search with auto-suggest made it easier for users to navigate the site and find specific auction listings. Transparency and trust among potential buyers were greatly enhanced and made it easier for customers to make decisions, boosting their trust in Auto Trader deals. The positive feedback from users indicated a rise in consumer satisfaction, confirming the success of the website.
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