Travel Destination Itinerary Planning Assistant


The innovative new application scans the latest travel blogs and social media content from over 5,000 destinations and 400,000 attractions around the world. It then provides users with personalized attraction rankings and day-by-day itineraries based on millions of data points.

More details can be found at:

While travel blogs are a very useful way to plan a vacation, the sheer volume of content currently available makes the process somewhat time-consuming. Using the power of machine learning technology, the new application from Outdoorsome is designed to make travel planning and research more efficient.

According to, over 20 billion blogging pages are viewed by 409 million readers every month. The website states that more than 80% of travel research and planning is now conducted via the internet, with 33% of US travelers stating that they use travel blogs to assist in the process.

Using the new application, those researching a trip will now receive ranked recommendations for the places they are planning to visit. They can personalize attraction rankings by filtering for the types of attractions they like and by specifying who they are traveling with. They can also view day by day itineraries generated by the machine learning algorithms including which attractions to visit each day, for how long, what to see and expect there, and things to do. Providing additional convenience, the application home page contains shortcuts to popular cities, natural beauty locations, beach destinations, and more.

For those unsure of where they’d like to travel, users can select a region, and then refine their search by country or the type of attractions they are most interested in. The application’s machine learning algorithms then rank the top destination recommendations based on content quantity and quality generated for that destination.

About Outdoorsome

The company’s founders experienced the challenges of travel planning in 2019, when they were preparing for an RV road trip across 19 national parks. Seeing how long it took to read multiple blogs, reviews, videos, and social media posts, they realized that AI & machine learning technology could be used to make the process much more efficient.

Since its inception in 2019, Outdoorsome has been using advanced machine learning and natural language processing to build a deep understanding of travel destinations around the world. With its technology, Outdoorsome wants to bring much needed AI and machine learning into the travel blogging industry.

A company representative stated: “Our bots read and analyze the entire travel blogosphere on the internet – over 250 million blog posts – and millions of social media posts made daily by travelers around the world. In order to rank recommendations, we focus on quality just as much as quantity. Our coverage of locations around the globe and the content about those locations is growing by the day.”

Interested parties can see a sample itinerary by visiting:


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