Scout provides agile software solutions that enable organizations to make calculated decisions derived from data collection and analysis. With specialized solutions for financial fraud, counterfeit detection, and brand protection, Scout makes its clients’ lives easier by bridging the gap between information and action.

Online shopping has become a massive industry. As a consequence, it has led to the rise of fake product listings. Companies employ brand protection specialists to combat the issue, but they are limited in what they can do. Fake product listings are far too common for specialists to identify and remove them all.

Our Smart Little Hunter of Fakes application provides users with a simple and interactive way of locating, identifying, and removing fake product listings.

This application uses brand specific information and hunts through online marketplaces, such as Amazon and eBay, searching for matching product listings. The massive number of returned product listings are sorted and cleaned to ensure that only the reliable listings are presented to the user.

Users review the presented data and provide their expert responses for each product listing, labeling each as “Real,” “Fake,” or “Unknown.” Our system analyzes user responses and returns its own prediction. Over time, this system learns from its users in order to provide more accurate predictions. Our Smart Little Hunter of Fakes application lowers the risk of receiving knockoff products to create a safer shopping experience.

The front end is implemented in C# using the ASP.NET framework. The back end stores information in a SQL database in the Microsoft Azure cloud and implements the prediction model using ML.NET Model Builder. Our system is available for all Windows devices.