Description

French startup helps customers avoid scams while delivering a seamless online shopping experience. Business context Today, e-commerce is grappling with an influx of scammers posing as online stores. While the popularity of online shopping has skyrocketed due to the COVID-19 pandemic, fraudsters disguised as e-stores are collecting more and more credit card information from unsuspecting customers. Solution The extension helps buyers detect e-commerce scams and locate higher quality goods at a more competitive price point The extension works in the background and is able to recognize when a user finds a product on an e-commerce site or page of an online store. Next, the extension analyzes the website's reputation using unique algorithms and determines a user trust ranking. As a result, the user sees the ranking marked with one of three colors: red, orange, or green. Our challenges Tightest deadlines. The product working at full capacity was set to hit production before Black Friday (26th of November) 2020. The client initially reached out to Unicsoft in August 2020. The client didn't have a significant technical base. Since the customer had only a business background, Unicsoft managed all the prototyping, decomposition, and development work. The client chose Unicsoft because of their confidence in Unicsoft’s ability to provide the necessary engineering, analytical resources, and sufficient expertise. Critical performance requirements coupled with sophisticated data analysis algorithms. End users shouldn’t have to wait long for the results of the web page analysis. The extension had to generate results in seconds. But achieving the required speed was not a trivial task for all the complexity and variety of calculations carried out under the hood. Multiple proofs of concept were required. Since the customers had a very broad view of the possible functionality, the team had to develop and quickly test several feature concepts. These included AI-powered image recognition (for analyzing product images and matching them with other e-commerce platforms) and advanced mobile traffic analytics. Project stages During three months of development, the product passed the following stages: Discovery Development Testing User acceptance testing Release Since Unicsoft started with a high-level product idea, the team had to work on both the development and business levels. To develop the concept for future solution, business analysts researched all the possible related solutions and competition, and worked on defining potential customer portraits. The project manager set the tasks, and the core team deconstructed them for development. Technology Stack PostgreSQL Docker Angular Redis MongoDB Kubernetes node.js Google cloud The result After six months in production, the most significant result was the successful and timely release of the extension: completed in a relatively short amount of time was to be presented to journalists and a wide range of users with full responsibility for maintaining the customer's reputation through presenting high-quality working product