Opodo has selected Retail Decisions (ReD) to provide fraud prevention services for its UK, German, French and Italian Web sites. Opodo is owned by Amadeus, the biggest processor of travel booking in the world.
“ReD is well known for its depth of experience in providing the travel sector with fraud prevention and payment processing,” said Carl Clump, CEO of Retail Decisions. “We are delighted to have been chosen by one of the world’s most successful online travel companies and look forward to helping their team fight fraud, while safeguarding their revenue potential and optimizing their internal fraud prevention costs.”
Retail Decisions will also process German Direct Debit (ELV) transactions from the German Opodo Web site. Opodo addresses the real needs of today’s traveler by offering an unbiased and competitively priced online travel service for world travel, with access to flights from over 500 airlines, over 65,000 hotel properties and over 7,000 car hire locations worldwide, as well as travel insurance.
“We are confident that Retail Decisions’ fully integrated fraud prevention service will assist our anti fraud team in spotting fraud much earlier in the transaction lifecycle, while maximizing our optimal good sales potential,” said Ignacio Martos, Opodo. “Retail Decisions has an outstanding reputation in serving the travel sector in its fight against fraud.”
Opodo joins an impressive list of ReD’s blue chip travel related company clients that include: Travelocity, Hotwire, Thomas Cook, Harvey World Travel and Travelex.
Retail Decisions’, CNP Fraud Prevention service, ReD Shield, is a fully outsourced, real-time service that removes the requirement for a retailer to make a capital investment in a fraud prevention system and lowers on-going operating costs. The service combines neural technology with customized, merchant-specific velocity and compound rules coupled with ReD’s expertise. ReD Shield provides a real-time risk assessment recommendation designed to allow retailers to reach a balance between preventing fraudulent transactions, while maximizing good transactions.