Saber Corporation, a leading provider of software and technology supporting the global travel industry, has partnered with travel risk management platform GOPASS Global to help bring its game-changing Covid-19 biosecurity risk analysis capabilities to the travel industry.
GOPASS Global solutions support business and leisure travelers alike to resume travel with confidence by using advanced analytics to provide a single view of all biosecurity risk elements of a flight. Joining the Saber Developer Partner platform will help GOPASS Global improve its competitive position in the global travel market, while further expanding Saber’s innovative open platform, which lies at the intersection of supply and demand.
“For the travel industry to open, recover and grow, it is important that we are able to reduce and mitigate travel risks so that we can instil renewed confidence in travel for both leisure and corporate travelers,” said Mark Radford, CEO of GOPASS Global. “It’s clear that leisure travelers want to learn about potential travel risks so they can avoid or mitigate them. But this is especially critical for corporate travel as we learn to live with this pandemic. Companies need to ensure they take their duty of care to employees seriously when it comes to travel. Therefore, it is essential that travel agents, and ultimately travelers, have all the important information they need at their fingertips when planning their trip to make the right decisions for them.” Powered by machine learning and artificial intelligence, GOPASS Travel Risk Optimizer provides travelers with a comprehensive analysis of all aspects of travel and their risk exposure in the travel cycle, including arrival and exit restrictions, flight and transit routes, airports, airlines and aircraft type, seat class and travel guidance. GOPASS Global data also looks at country conditions such as infection rates, government policies, and data reliability. Taking all of this together, agents can obtain a risk score out of ten for each itinerary, enabling them to clearly identify the lowest overall risk rates.
            