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Software Status:Active

About Riskified

Riskified is a fraud prevention software from Riskified Ltd. that helps online retailers reduce chargebacks and improve approval rates. It provides advanced machine learning algorithms, real-time transaction analysis, and comprehensive reporting tools so merchants can effectively assess risk. By using a vast dataset, Riskified allows businesses to make informed decisions while minimizing fraud losses. The platform supports various payment methods and smoothly integrates with existing e-commerce systems. Key capabilities: fraud detection chargeback guarantee transaction approval machine learning data analytics Best for: online retailers that need to mitigate fraud risks and improve transaction security.

Riskified Details

Vendor
Riskified Ltd.
Year Launched
2013
Location
220 5th Avenue, New York, NY 10001
Deployment
cloud
Training Options
documentation, live online, in person
Countries Served
All Countries
Languages
English
Users
E-commerce merchants (small to large businesses)., Retailers, fashion brands, travel companies, and digital goods providers.
Industries Served
E-commerce (Retail, Luxury Fashion, Digital Goods, Travel), Athletic & Outdoors, Digital Goods, Retailers
Tags
Riskified, Financial Fraud Detection

Riskified's In-App Market Place

Does Riskified have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), HKD (HK$), SGD ($), BRL (R$), MXN ($)

Pros & Cons

  • Easy integration with Shopify and seamless operation.
  • Provides valuable fraud filtering controls and guarantees chargeback protection.
  • Accurate and quick fraud decision-making process, reducing manual work.
  • Clear and easy-to-understand dashboard for tracking orders and fraud activity.
  • Excellent customer support that is fast and helpful.
  • Limited manual control over order review, leading to occasional false declines.
  • Difficulty fine-tuning fraud filtering settings to avoid rejecting legitimate orders.
  • Lack of ability to force an order through the system if it's marked as risky.
  • Customer support could improve with more responsive live chat options.
  • Takes time to adjust to business-specific fraud patterns and customer behaviors.

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