Vehicles Virtualization
Business Problem
When purchasing or selling used vehicles, the individual must personally examine the car. If defects are present that the seller did not notice himself or if the information in the advertisement is inaccurate, both the purchaser and the seller will suffer from unnecessary expenses and frustration.
Business Solution
Purchasers should be able to view a vehicle from every angle and obtain all technical data and equipment information without being on site by virtualizing the vehicle with as much information as possible.
Technical Solution
Thanks to RPA, even larger vehicle fleets can benefit from this innovation. A multitude of microservices was created that collects data from several third-party suppliers, using vehicle identification numbers (VINs). The information collected from these providers is analysed, classified, and summarised in order to achieve the desired result. Matches are made between different providers to avoid duplication. After the process ends, the customer, seller, and buyer receive the processed data for the specific vehicle listed by the seller. My role in the project was creating Spring Boot microservices in an Azure cloud environment, working with various applications in .NET, JavaScript, and Python.
The company language was English. We worked with scrum.
