Razorpay
Machine-learning fraud screening for cross-border payments
Cybersource reported a 30% reduction in Razorpay's fraud-to-sales ratio after Decision Manager adoption
Problem
Razorpay needed to protect merchants accepting cross-border payments while avoiding rejection of legitimate customers.
Approach
Razorpay began working with Cybersource in 2022. It ran Decision Manager alongside its existing fraud system before integrating the machine-learning tool into merchant services. A Cybersource risk analyst helped tune the system.
Results
Takeaway
The reported comparison covered January through August in successive years. It did not establish how much of the change came from machine learning alone.
Categories
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Cybersource reported lower fraud and chargebacks after its engagement with Razorpay began in 2022. It also reported fewer false declines.
Cybersource described the parallel trial and subsequent integration of Decision Manager. It attributed the statistics to Razorpay and specified a January-to-August comparison between 2023 and 2022.
Full details are in the original sources.