At a glance
- Who: Moovit.
- What: The urban commuter app is announcing the global launch of an artificial intelligence- (AI-) powered experience.
- Why: To remove the effort and uncertainty from public transit and evolve from a navigation tool to a personal transit assistant.
- Where: The new features are being deployed globally.
The urban commuter app now offers AI-driven Trip Insights, smarter filtering tools as well as MoovitAI to redefine how people navigate public transit.
The commuter app Moovit is announcing the global launch of an artificial intelligence- (AI-) powered experience designed to remove the effort and uncertainty from public transit.
AI-powered Trip Insights, smart filters, and MoovitAI aim to simplify and personalise commutes via the app, which is used by more than 1.5 billion users in 3,500 cities across 112 countries.
Personal transit assistant
Navigating transit typically involves searching routes, comparing trade-offs, tracking delays, and adjusting on the fly but the new features shift the burden away from riders. It acts as a personal companion: learning preferences, recommending the best route for an individual, explaining why it’s the right choice, and continuously managing the journey in real-time.
“At Moovit, we’re evolving from a navigation tool to a personal transit assistant,” said Ziv Kabaretti, chief product officer at Moovit. “Moovit handles the complexity so users don’t have to, whether that means optimising faster routes, minimising walking or avoiding disruptions. Users get the right level of insight to trust Moovit’s decision without overthinking it.”
With multiple route options, choosing the best one isn’t always obvious. Moovit now simplifies this by analysing each Suggested Route across factors like travel time, transfers, walking distance and then displays clear, actionable insights so users instantly understand the trade-offs of each option.
Key Trip Insights include:
- Best For You: a personalised AI-driven recommendation based on a user’s travel history and preferences to suggest the optimal route for them
- Weather Smart: routes optimised for real-time weather conditions to reduce exposure to rain, snow, extreme heat, or cold. These routes reduce waiting, walking, and limit transfers during inclement weather
- Tight Transfer: flags connections with short transfer windows
- High Frequency: highlights routes with frequent service and short wait times.
Additional Trip Insights include: Last Departure, Long Wait Time, Earliest Arrival, Fewest Transfers, Direct, and Least Walking. These Trip Insights are available on both iOS and Android for Moovit+ subscribers.
Filters have also been introduced for Suggested Routes for more control without the added complexity. Riders can now quickly tailor Suggested Routes to match their priorities, including:
- Fit: prioritise routes with more walking
- Fewest Transfers: minimise connections
- Least Walking: reduce walking distance
Core filters are available to all users, while advanced options are exclusive to Moovit+ on iOS and Android.
Moovit has also introduced Real-time Disruption Detection and Trip Recovery for when plans change. It continuously monitors the journey and proactively reroutes users the moment something goes wrong, minimising delays and eliminating the need to manually plan.
In addition, Moovit now recommends the optimal departure time during trip planning, advising users when to leave to take advantage of faster routes and shorter overall travel time. These features are available on both iOS and Android for Moovit+ subscribers.
Moovit is also rolling out MoovitAI, a generative AI-powered search delivering clear, conversational answers to public transit questions, without the need to navigate multiple screens or menus.
Whether asking “Which subway lines serve Penn Station?”, “When is the earliest train from King’s Cross?”, “How do I get to Copacabana Beach?”, MoovitAI provides fast, straight-forward answers, said Moovit.
Previously available in beta, MoovitAI is now rolling out to all users on iOS, with Android to follow.
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Dieser Artikel ist neu veröffentlicht von / This article is republished from: Smart Cities World, 07.05.2026
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