Whether it’s a surge in tourism, winter weather, or local events, Shotl’s platform enables operators to adapt service zones, vehicle allocation, and booking rules without rebuilding the system from scratch.
In many areas, transport demand fluctuates dramatically based on:
Traditional services either overspend during low season or underperform during peaks. DRT solves this with elastic configuration.
Shotl allows operators to create seasonal variants of the service, including:
Changes can be scheduled in advance or pushed live in real time—without needing user intervention.
Using usage data and demand forecasts, operators can scale vehicle fleets dynamically:
This keeps costs aligned with actual needs and minimizes emissions from underutilized trips.
For events or seasonal attractions, Shotl supports:
Users can book normally, but the system accounts for the specific needs of that location and date.
All changes are reflected automatically in the passenger app, with configurable push notifications and banners. Integration with city websites or tourism platforms ensures visitor awareness and onboarding.
Shotl’s operations dashboard allows real-time edits, including:
Mobility doesn’t stop changing—and neither should your service. With Shotl, DRT becomes a season-aware platform, delivering the right level of service at the right time, all year round.
29.03.22
At Shotl, our experience shows demand-responsive transit (DRT) works best in suburban or rural areas that are underserved by traditional fixed-route/schedule transit. With this in mind, we take a look at three European regions that are leading the way
23.05.22
This month we chat with Barak Sas, General Manager for UK&I DRT at Zeelo and respected voice on mobility-related issues. He is well known for sharing his thoughts about public transport and mobility in his newsletter “Moving People.”
26.09.22
Mobility today is poorly optimized. With an average occupancy of just over one user per car, and vehicles parked 95% of the time, cities are basically turned into steel warehouses. And this is, in the end, the big challenge to be solved.