AI-Powered Asset Intelligence

Personalized, chat-based access to fleet analytics without manual reporting or data engineering
Automated normalization of KPIs across asset classes, fuel types, and operating profiles
Continuous computation of asset contribution margin and utilization efficiency

Advanced Asset Management & Optimization

AI-driven procurement recommendations based on real-world performance and utilization
Intelligent asset reassignment and decommissioning decisions
Simulation of external or prospective asset types before purchase or lease
Capital allocation guidance that reduces overbuying and underutilization

Advanced Shuttle & Passenger Transportation Management

Passenger counting and capacity optimization using integrated camera and trip data
AI-driven routing, dwell time analysis, and ETA forecasting
Real-time map sharing via URL or QR code for passenger-facing visibility
Dynamic route detection based on asset tracing and geofencing

Video, Safety & Compliance Intelligence (EBAI-DC)

Configurable camera event detection and notifications
AI-assisted event forensics with synchronized video, GPS, and telemetry timelines
Trip playback for compliance audits, dispute resolution, and incident review
Centralized video libraries organized by asset, date, and event type

Risk & Performance Management

Driver behavior baselining and risk profiling
Advanced event and violation analytics across trips and periods
Predictive insights to mitigate safety, insurance, and operational risk
Continuous learning models that improve recommendations over time

Operational & Financial Impact

Up to 90% reduction in time and cost to extract actionable insights
Lower operating expenses by eliminating manual analysis and additional staffing
Improved capital efficiency through right-sizing and asset performance optimization
Scalable intelligence platform that grows with fleet size and complexity

EBAI’s asset management platform has saved fleets 90% in time and costs of extracting data (opex), right-sizing fleet operations and finding optimal vehicles to purchase / replace (capex) while avoiding new hires to ‘manage’ the software.