Accu-Trade Partners with NextLink Labs to Power-up its Digital Trading Platform and Achieve DevOps Excellence

As Accu-Trade’s services achieved traction within their target markets, the company’s team and product offering began to grow at a rapid rate.

Accu-Trade started to accumulate a growing number of technologies to accommodate growth. In addition, the company’s digital infrastructure grew as well, increasing the digital footprint Accu-Trade was required to manage.

To address their growing needs, Accu-Trade sought a partner to help build on their solid base and continue to enhance the company’s DevOps practice to meet both current and future challenges.

NextLink Labs came on and built upon the solid framework Accu-Trade’s DevOps Practice had in place.

NextLink continued to mature and guide the DevOps practice to increase the stability of their services, shorten development cycles, and bring in technologies as needed. NextLink also helped guide Accu-Trade in evolving security and compliance needs.

As a result, Accu-Trade is able to meet the growing needs of its customers and partners through scalable and secure technology offerings.

Accu-Trade has a suite of products covering many aspects of buying, selling, tracking, and valuing automobiles.

Their suite of products dealers, valuators, consumers and other groups of people that have a role to play in the processes.

Accu-Trade needed a way to have real time communications about a specific vehicle between users of their different products.

NextLink Labs helped to architect and implement a real time chat application.

This application built upon the existing user management system as well as the Twilio programmable chat API.

We built out both API management layers in Python/Django as well as an Angular component module that could be embedded in multiple applications.

Accu-Trade’s Marketplace is a digital commerce platform used by thousands of dealerships across the United State and Canada on a daily basis for buying and selling vehicles. Accu-Trade puts a heavy emphasis on vehicle valuation as well as providing buyers as much information as possible so they can make informed buying decisions.

That means displaying hundreds of variables including year, make, model, features, history and more in a way that will serve the user quickly.

"Being able to provide the valuation to the dealer along with the depth of information we have available in a quick fashion is the key to our product. They need to be able to pull up a vehicle either on the web or on mobile and be able to work through that value very quickly.” -- Jeff Zamora, Chief Technology Officer, Accu-Trade.

To meet the information delivery needs and exceed customer expectations in its display, NextLink Labs built the technology to aggregate automobile data from multiple sources and present it in an intuitive format to ensure an optimal user experience.

NextLink Labs relied on a Python backend utilizing a Django framework to handle the data load. Additionally, NextLink built an application programming interface (API) to expose this data for use by other backend systems in their product suite. Finally, NextLink Labs worked to expand the frontend Angular/Javascript application interface so end users were able to easily consume this information.

To help give buyers an edge in online auctions, Accu-Trade developed VIN-dow, a real-time information system in the form of a browser extension that sits directly in the window as the bidding unfolds.

The tool syncs directly with cars as they come through the auction process, processes the automobile’s vehicle identification number (VIN) and displays information vital to the buying process.

This information includes the Accu-Trade instant offer and target auction prices, retail value, odometer readings, vehicle colors, common problems known to occur in the vehicle, and much more.

That’s where NextLink Labs comes in.

Accu-Trade trusted NextLink Labs to help to build out an API web service in order to manage the backend data for the auctions process.

NextLink Labs also developed the VIN-dow browser extension written in Angular which interfaces with this API and displays vehicle data on the fly without the need to copy and paste.

This browser extension supports all modern browsers.