This next-gen hotel analytics is providing corporate travel buyers with the tools they'll need to calculate supplier performance and policy compliance.
Yapta, a leading provider of airfare and hotel price tracking services, announced the general availability of TravelAI hotel analytics for the optimization of corporate supplier negotiations and policy compliance. TravelAI utilizes a combination of real-time hotel availability data and machine learning to identify areas of focus where companies can create or improve opportunities to save.
At a glance, the solution delivers actionable insight into supplier utilization and performance, contract rate performance, and travel policy effectiveness. The solution also aggregates anonymous hotel pricing data across the millions of travel itineraries tracked by Yapta, creating benchmarks by spend amount, geography, industry and supplier.
Most corporate travel programs suffer from a lack of booking data transparency, creating inefficiencies in the RFP process. Because the RFP process relies on vendor supplied pricing that does not report the availability of contract and ‘best rate’ options at the time of booking, most companies simply cannot identify the source of breakage that’s costing them money – either supplier or traveler compliance. TravelAI is helping bring this into clearer focus for customers, providing them with point-of-sale data from the actual booking and helping them gain visibility into rate availability and attainment.
“Travel managers are demanding insights that are prescriptive and actionable,” said Valerie Layman, Chief Product and Services Officer at Yapta. “TravelAI highlights exactly where the contract rate and policy breakage occurs and allows issues to be addressed immediately. Because the solution examines all available rates at the time of booking, it provides travel managers with clear guidance on whether a traveler made a decision to book a higher rate or premium room type when a standard contract room rate is available or if the supplier is not performing.”
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