Introducing Ravelin for leisure and hospitality
The fraud threatscape is constantly evolving. Whether it is a hotel room, a cruise, an tour or experience fraudsters are increasingly daring and ambitious in their targets for fraud. Operators are increasingly remote from the person making the booking so filtering for fraud is harder yet the risk is greater. The answer is in using all available data to reach more accurate decisions more quickly. Meet Ravelin.
Ravelin dives deep to uncover more fraud
Ravelin is a single system which pulls in customer and payment data from across your business. From sign-up, account creation, on-site behaviour, inventory selection, through to the booking and payment process - if it’s relevant for fraud, Ravelin analyses it.
Our enterprise-ready and OTA-specific machine learning models aggregate huge volumes of disparate data to provide a straightforward fraud decision right at the time you need it.
Ravelin: perfect for the leisure and hospitality fraud challenges
Our data-first approach means that we look deeply into your data and experience of fraud. Fraud in online hospitality shares many characteristics with other industries - e.g. card velocity, the number of attempts to pay, multiple cards used.
There are also trends unique to the industry that are strong signals of attempted fraud, such as last minute booking, multiple attempts, luxury experiences, disposable contact details, inconsistent contact details, reselling of inventory, illogical booking patterns.
Our machine learning models are trained on your company’s historical transaction data and adapted to your fraud and domain experience. Added to this we provide a rules engine so you can easily include features specific to how you operate. Powered by your data, this allows us to provide accurate decisions from Day 1. The result? Fewer chargebacks and fewer false positives.
Fraud scores in milliseconds
Ravelin provides results in milliseconds and updates its scores whenever a customer makes a relevant action. It’s real-time fraud detection.
Manage peak time, holiday and overnight fraud attempts
Our models never sleep. Ravelin is just as effective at night, on the weekends and even during peak season. Our clients trust us to make the right calls to optimise conversion without any undue risk of fraud. No more reliance on manual review.
The only fraud system that you will need
One system for all your fraud needs. With ML models, link analysis, graph networks, analyst interface, rules, workflows and reporting, there is no need for multiple systems to provide a fraud determination. One system: enterprise-wide.
Rapid integration with minimised developer requirements
Ravelin’s API wins plaudits from developers as the best in market, making it as easy as possible to integrate all the key data required to build out a fully comprehensive fraud solution. We have our integration team ready to help out every step of the way, including going on-site with clients to ensure a smooth integration when extra assistance is needed.
We minimise the requirements on your internal IT team as much as possible by speaking their language, providing best-of-breed tools and helping where and when it matters.
Our experience in a variety of industries means our algorithms give accurate scores as soon as the integration is complete. No cold-start problem. Our client service team will work with you to set your rules correctly to complement the machine scores. At the same time, our graph networks map your entire customer database highlighting and closing down bad actors from day one.
Built for analysts
We’re confident your analysts will love the Ravelin dashboard. They can access full customer history in an easy to interrogate timeline and so instantly understand what underpins a score and confirm its accuracy. Our workflows will blend seamlessly into theirs making the entire review process more efficient.
Reduced manual review
The most notable impact of Ravelin is the the massively reduced requirement for manual review. We would expect a maximum of 1% of transactions to be reviewed, usually retrospectively. Time is spent so more more effectively on investigating trends and devising tactics to prevent new fraud.
Management and control
You are in control from the initial definition of the thresholds, to configuring rules, defining analyst workflows and deciding on what reports are required and how often.
- Hospitality industry-specific machine learning models
- Merchant-specific custom features
- Dedicated account management
- Advanced IP and geolocation features
- Integrated rules engine
- Enterprise-wide graph networks
- Device fingerprinting
- Analyst workflows
- Variable fraud tolerance thresholds
- One system that aggregates all relevant customer and transaction data
- Reduced reliance on manual review
- Automated decisions in milliseconds
- Constantly improving models that adapt to changing fraud profiles
- Managed peak times, holiday, weekend, same-day booking and overnight fraud
- Configurable thresholds for conversion and chargeback optimisation
- PCI-DSS Certified
- ISO/IEC 27001 Certified
- EU Safe Harbor Registered