Cognitive online travel application
WayBlazer teamed with IBM to develop an online travel application and APIs with IBM® Watson™ technology and natural language processing (NLP). It does more than just return a list of travel options that meet basic parameters. The WayBlazer Cognitive Conversion API uses cognitive computing to interpret unstructured social sentiment, images and reviews across thousands of sites and then return specific answers and recommendations for requests such as, “I want a kid-friendly hotel in Ireland with access to a great golf course.” WayBlazer maximizes conversion and revenue for its customers by delivering the most relevant information to each traveler. The company packages the solution as APIs or as a solution as a service (SaaS) to be integrated with branded interfaces for travel companies.
Easier and more personal booking process
Game-changing outcome—Online travel booking is a fragmented experience in which users research 20 or more websites on average, and customers are not presented with relevant or personalized results. The WayBlazer solution is game-changing because it does more than just return a list of options that meet basic parameters. It lets travel providers offer their own branded booking interface that identifies traveler interests and researches thousands of sites to provide relevant and personalized hotel recommendations, images, content and local area knowledge in a way not possible before.
Before-after impact—Prior to the POC, most travel providers used booking interfaces with little or no personalization or information from external sites. Customers often booked through other sites that charge a commission to the travel provider. Now, travel searching can be more relevant and personalized, which leads to more conversions, revenue and customer engagement.
Systems of cognitive discovery, engagement or decision making—The solution represents a system of engagement because it learns traveler interests and preferences and then uses those to provide personalized recommendations. The travel company or provider can analyze this information for insight into customer trends and to send customers personalized notifications of future events that match their interests. This helps large travel providers engage with customers in a more personal and unique way, which today’s travels increasingly seek.