Sena Decision AI shows rideshare and mobility teams why riders choose a ride, a rival, or transit, area by area. Every figure traces to a rider answer, a pickup photo, or the team's own files.
Mobility analytics starts with trip data: every ride booked, by area and hour. Ride hailing market share moves on an earlier choice between an app, a rival, transit, or a car, and riders hold the reason.
Trip data shows fares and wait times by area. Across the ridesharing market, riders weigh both against a rival app, a bus, or their own car.
Sena:Sena captures consented input on why riders choose a ride and what would make them switch, by segment and area.
Trip files build up after launch. Riders in a new city already know what they would switch for.
Sena:Sena captures how riders in a launch city travel today and what would win them before the launch spend.
Trip data shows cancellations near stations and venues. The curb shows the signage, access, and space riders meet.
Sena:Sena captures geo-verified photos at the pickup points, asks names, and reads signage, access, and condition.
Mobility analytics maps where trips happen, and these four transportation analytics use cases show where rides grow.
Riders state which shared mobility apps they know, have tried, and use most, by segment and area.
Decides:Whether the gap is awareness, the first-ride offer, or the service itself.
See awareness measurement by tier →Launch-city riders state how they travel, what they would pay, and what would make them try a new service.
Decides:Which offer and message lead the launch in each city.
See marketing strategies for new market entries →Sena reads trip files by area beside riders' reasons and pickup photos, so the gap reads as price, wait time, rival, or access.
Decides:Which rider fix each area gets first.
See sales territory analysis →Sena captures geo-verified photos at the stations, venues, and campuses a question is named; and riders state the barriers they meet.
Decides:Which pickup points get new signage, a moved zone, or new instructions.
See last mile delivery optimization →Sena ties every figure to the rider answer or photo behind it, so a team checks each area against its trip files.
Each access reading carries its photo, its location, and its date.
Each reason comes from a rider who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.
Pickup access starts with two counts: the pickup points a team runs in an area and the points where a photo confirms clear access. Sena captures the second count and pairs each flagged point with the barrier rider's name.
The pickup access calculator shows the points to fix and monthly revenue at stake.
A walkthrough runs Sena on one rider segment in one city, from rider answer to area decision.
Pick the closest fit, and the walkthrough starts from that team's question.
Mobility analytics on why riders choose an app, a rival, or transit, by segment and area.
Book a growth walkthrough →How riders in a launch city use shared mobility today and what would win them.
Book a strategy walkthrough →Pickup points riders struggle with, each checked with a geo-verified photo.
Book an operations walkthrough →Mobility data analytics on rider demand and pickup access, for teams that plan streets and services.
Book a planning walkthrough →Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Rider choice | Trips booked, by area and hour | Riders state why they chose a ride, a rival, or transit. |
| New cities | Rideshare industry benchmarks from other cities | How launch-city riders travel and what would win them |
| Area gaps | Bookings by zone, compared by hand | Fares, wait times, rival choice, and access, area by area |
| Pickup access | Cancellation codes and support tickets | A dated photo of each named pickup point, beside the barriers riders name |
| Auditing | Trip and rider reports matched by hand | Each area figure opens its rider answer or photo. |
Talk to the Rwazi team about one rider segment, one city, and the decision on the table this quarter.