The 'Radar' app is a new travel tool from Yahoo that puts artificial intelligence to work in order to deliver highly personalized recommendations for everything from food to activities and entertainment.
Radar acts like a personal travel agent that is able to make suggestions based on an individual's preferences and time of travel. Users are able to conduct simple searches by selecting words and phrases like "lunch," "budget-friendly" or "fine dining," which will pull up results that are suggested based on positive ratings. In order to back up its choices, Radar also lists 'Top reasons why I picked this for you,' which includes factors like user ratings, advice from local experts and TripAdvisor guides.
Within the Radar app, travelers are also able to manage their complete itineraries, which draws information from a user's connected Yahoo Mail account.
AI Travel Apps
The 'Radar' App from Yahoo Makes Smart Travel Recommendations
Trend Themes
1. Personalized Travel Recommendations - Using artificial intelligence, the 'Radar' app delivers highly personalized travel recommendations based on individual preferences and time of travel.
2. Smart Search and Suggestion - Radar's smart search allows users to conduct searches using specific words and phrases, resulting in suggestions based on positive ratings.
3. Integrated Itinerary Management - The Radar app enables users to manage their complete travel itineraries by pulling information from their connected Yahoo Mail account.
Industry Implications
1. Travel and Tourism - The personalized recommendations and smart search capabilities of the Radar app can disrupt the travel and tourism industry by enhancing the travel planning and decision-making process.
2. Hospitality - The Radar app's ability to deliver personalized recommendations for food, activities, and entertainment can disrupt the hospitality industry by improving customer experiences and increasing engagement.
3. Artificial Intelligence - The integration of artificial intelligence in the Radar app presents disruptive innovation opportunities in the AI industry by showcasing the power of intelligent recommendation systems.