Merchants

Reduce false positives. Accept more orders without increasing risk.

As more and more consumers opt for the convenience of online versus in-person interactions, merchants are looking to deliver seamless customer experiences and drive conversion. However, fraud has also shifted to digital, opening up new avenues for savvy fraudsters to monetize stolen credentials.

Simility’s Adaptive Decisioning Platform helps merchants approach fraud dynamically, treating good customers with a streamlined experience and adding layers of protection when necessary. Through effective anomaly detection, merchants can minimize chargebacks, false positives, and manual reviews.

Simility helped Luisaviaroma reduce fraud by 50% without impacting the customer experience.*

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DOWNLOAD THE CASE STUDY
See how big data, machine learning, and people can help detect
and prevent evolving fraud

Simility’s platform is built on multiple capabilities that help
businesses stay ahead of evolving fraud

Simility’s platform is built on multiple capabilities that help businesses stay ahead of evolving fraud

Device Recon

Analyzes over 350 raw browser, mobile, desktop and network attributes. Using cluster analysis and fuzzy matching algorithms, Simility creates a unique fingerprint for each device.

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Automated Rule Tuning

Advanced machine learning provides ongoing rule recommendations that offer suggestions for creating more suitable and relevant rules, as well as recommended thresholds based on historical data and decisions.  

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*Results are specific to Luisaviaroma. Other results may vary by industry, customer, and use case.