Mobile Application with VIN-Scanner for Car Retail
INDUSTRY
Retail
CLIENT
VinTwin
VinTwin: Mobile Application with VIN-Scanner for Car Retail
"Learn how Waverley developed a mobile car retail service allowing to scan VIN-codes, extract the car info from the database and calculate the price range."
Learn how Waverley developed a mobile car retail service allowing to scan VIN-codes, extract the car info from the database and calculate the price range.
VinTwin
VinTwin is an innovative purely Internet-based car dealer, founded in 2015 in Largo, Florida. VinTwin offers an online, pre-owned car buying experience. A special service finds the quality car of selected model and specifications without the overhead of a dealership, offering much lower prices than car stores and car auctions.

What We Delivered
A team of engineers at Waverley in close cooperation with the client developed a fast and responsive mobile solution to help VinTwin achieve their business objectives.
Leveraging the possibilities of React Native Redux, the app integrates with the phone camera to scan the VIN-code and produce the car model based on it.
The app allows users to select the quality of the car they are looking for as well as make, model, year, etc.
By means of Javascript and Node.js we’ve built a complex and reliable back-end, supporting an extensive database with car models, photos and other information.
We used API to enable data parcel and list formation.
Challenge: In order to enable the app to analyse available data and based on the results, calculate the approximate car price, Waverley engineers created a specific mathematical model. It processed all filled parameters and parceled the data to calculate the possible price range.
UI/UX specialists at Waverley suggested a colorful and responsive app design prototype, which was later extended and improved. Driven by easy navigation, simplicity and elegance, an exceptional user experience came out as a result.
Waverley team had weekly meetings with the client, discussing operational results. All bugs were found and fixed in a timely fashion, our QA engineer has rigorously tested each app unit.
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