Mar 26, 2021
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Service categories
Service Lines
Artificial Intelligence
Software Development
Domain focus
Media & Entertainment
Other
Programming language
Python
Challenge
How We've Accepted Non-Trivial Challenge
There are millions of active users and the platform continues booming. But as usual, popularity attracts people with bad intentions who are willing to earn by-passing the rules.
Over time there were more and more cases that got noticed when a model and a fan collude. The follower makes donations and the creator withdraws money. After a while, the fan claims it was an unauthorized payment due to a stolen card and makes a chargeback at the platform's expense.
How We've Accepted Non-Trivial Challenge
There are millions of active users and the platform continues booming. But as usual, popularity attracts people with bad intentions who are willing to earn by-passing the rules.
Over time there were more and more cases that got noticed when a model and a fan collude. The follower makes donations and the creator withdraws money. After a while, the fan claims it was an unauthorized payment due to a stolen card and makes a chargeback at the platform's expense.
Solution
Designing Original Solutions
The Uinno team was engaged in the development of a specific part of the social media platform. We were challenged to beat the fraud pattern and to not only seek for violators among the existing userbase but detect them before they even start to pay.
- Analyzing the fraud pattern
- Developing neural network models
- Implementing predictive analytics
Designing Original Solutions
The Uinno team was engaged in the development of a specific part of the social media platform. We were challenged to beat the fraud pattern and to not only seek for violators among the existing userbase but detect them before they even start to pay.
- Analyzing the fraud pattern
- Developing neural network models
- Implementing predictive analytics
Results
The solution developed by Uinno allows revealing more than 80% of fraudsters even before users commit fraud that has extremely reduced the number of fraudulent cases.
The solution developed by Uinno allows revealing more than 80% of fraudsters even before users commit fraud that has extremely reduced the number of fraudulent cases.