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IndiaFinance and insurance2022 – ongoing

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

WorkingVendor case studyVendor ↗

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

30%reduction in fraud-to-sales ratio reported in Cybersource's 2024 guideVendor case study[1]
40%reduction in merchant chargebacks reported in the guideVendor case study[1]

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

Business function
Finance, risk and legal
Innovation type
Process innovation
Evidence
Vendor case study

Sources

  1. Voices of the Industry: Payfacs
    Cybersource2024Vendor publication
  2. Razorpay
    Cybersource2024Vendor publication

Source summaries

[1]Cybersource2024

Cybersource reported lower fraud and chargebacks after its engagement with Razorpay began in 2022. It also reported fewer false declines.

[2]Cybersource2024

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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