27.01.26
Ferran Carril explains how Shotl’s backend stays robust: isolating dependencies, prioritizing essentials, feature flags, autoscaling, and resource buffers to keep ETAs reliable under spikes.
27.01.26
DRT success goes beyond ridership: track wait time, booking success, occupancy, pooling, cancellations, NPS, equity/coverage, cost per trip and on-time performance to steer reliable growth.
Measure rider movements to get predictive models in a given area before an on-demand shuttle starts hitting the streets.
A cheap and safe way to validate user response while slowly deploying new demand responsive services in your city.
Start saving operational costs and increase passenger ridership through a fully dynamic transport service based on real time demand.
Get to see our platform in action
x3
-15%
12 min