Tilly (formerly Tern)

Tern generates personalized travel itineraries by considering user preferences and travel styles, and applying machine learning algorithms to select destinations, sights, and activities that align with these inputs. Users can further tweak and refine these itineraries on an interactive platform if desired.

Tern considers user preferences such as personal interests, travel styles, and preferred schedule when creating travel plans.

Tern uses unspecified machine learning algorithms for destination selection, these algorithms are based on user behaviors, inputs, and other variables that go into personalizing travel recommendations.

Users can refine their itineraries on Tern's interactive platform by making adjustments and tweaks as they see fit. There are no specific steps for this, it's a matter of adjusting the plan until it aligns with the user's preference.

Tern applies machine learning algorithms to suggest restaurant recommendations. The specifics of the algorithm are not shared on their website, but it's certain they encompass users' preferences and possibly factors such as location, popularity, and reviews.