ÖBB-Personenverkehr AG
Known forÖBB Scotty
ÖBB ScottyÖBB ScottyPortfolio
Free 2Last updated
ÖBB Scotty
v9.0.5 (72)
6mo ago
AI intelligence is not yet available for ÖBB-Personenverkehr AG. The portfolio data below is up to date.
2 apps analysed
Deep integration with Austrian regional transit data ensures superior last-mile accuracy
Analysis in progress
Distributed across 12 markets, strongest in Europe.
Based on 1 of 2 apps with localized market data — more coverage rolling in as scans complete · last scanned .
User-sentiment analysis coming soon.
As the primary rail operator app for the neighboring German market, DB Navigator competes directly for cross-border travelers and sets the regional standard for feature-rich transit planning.
Strategic outlook coming soon.
Jelbi competes by aggregating multi-modal transport options, positioning itself as a comprehensive mobility hub rather than just a train planner.
MOIA challenges traditional rail planning by offering a ridepooling alternative that addresses the 'first and last mile' gap in transit.
known forMVV-App
This app competes for the urban transit segment, specifically targeting users navigating the complex Munich metropolitan transport network.
SBB Mobile serves as the benchmark for Swiss public transport, competing for the same demographic of frequent rail commuters and international travelers.
This app occupies the broader travel planning space, focusing on flight aggregation which complements rail-based journey planning.
PRESTO competes in the transit utility space, focusing on fare management and digital wallet integration for commuters.
This app targets the high-intent travel planning niche, specifically focusing on award travel optimization.
Trivago competes for the travel planning budget by providing accommodation comparison, a natural extension of the journey planning workflow.
FerryTempo enters the transit space by focusing on the specific niche of maritime scheduling and live tracking.
This app targets the immediate, location-based needs of rail passengers, focusing on hyper-local departure data.
