Introducing Ravelin for bus and rail fraud
The challenges for fraud managers in bus and rail ticketing are many and growing. Moving beyond revenue protection to forming part of the customer experience means simply stopping fraudsters is not enough. The successful fraud team is part of the conversion conversation. Ravelin takes a data-first approach to tackling fraud at high volumes because by analysing more data than any other product, we're able to arrive at more accurate fraud decisions even faster.
Ravelin: dives deeper to uncover more detail
Ravelin offers a single location into which to plug all the relevant data from across your business. From sign-up, account creation, on-site behaviour, through to the booking and payment process - if it’s relevant for fraud, Ravelin wants to know about it.
Our enterprise-ready machine learning models aggregate huge volumes of disparate data and use it to provide a straightforward fraud decision right at the time you need it.
Ravelin: perfect for the fraud challenges of bus and rail ticketing
Our data-first approach means that we look deeply into your data and your experience of fraud. Fraud in bus and rail share many characteristics with other industries - 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 overlapping journeys, one-way route purchases, new accounts attempting same day travel and disposable contact details.
Our machine learning models are trained on your historical transaction data and adapted to your fraud and domain expertise. Powered with your data, this allows us to provide accurate decisions from Day 1. Less fraud, fewer chargebacks.
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.
Peak times, weekends, overnight, last-minutes bookings.
Our models never sleep. Ravelin is just as effective at night, at 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.
One fraud system for all your ticketing fraud needs
One system for all your fraud needs. With ML models, 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. At the same time, our graph networks map your entire customer database highlighting and closing down bad actors from day one. There is no faster ROI.
Easy to use
We’re confident your analysts will love our analyst dashboard. Everything they need to see about every customer and transaction is right there, beautifully presented and easy to find with all of the relevant information highlighted.
Accurate fraud scores
Based on historical performance, we can show you the expected impact on future transactions. You can set your risk threshold to ensure the chargeback rate and the transaction acceptance rate are right for your business.
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.
- Travel-specific machine learning models
- Merchant-specific machine learning models
- Self-learning models
- Integrated rules engine
- Enterprise-wide graph networks
- Device fingerprinting
- Analyst workflows
- Analyst interface
- Fraud tolerance thresholds
- Cross-merchant card vault
- PCI-DSS Certified
- ISO/IEC 27001 Certified
- EU Safe Harbor Registered
- 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