Fleet Analytics for Smart Mobility Operators in Singapore

Singapore’s smart mobility sector is growing fast with EV fleets, shared mobility, and on-demand shuttle services operating across dense urban routes. To keep these fleets efficient and reliable, operators now depend heavily on fleet analytics. Real-time trip data, utilisation insights, and performance metrics help them optimize routes, improve service quality, and manage daily operations with greater accuracy.

• Limited Visibility Across Mixed Fleets:
  Operators struggle to monitor EVs, shuttles, shared cars, and rental fleets in a unified system.
• Lack of Actionable Trip Insights:
  Manual logs make it difficult to analyse trip duration, utilisation, idling patterns, or driver habits.
• Inconsistent Service Quality:
  Without data, operators cannot detect delays, route inefficiencies, or performance gaps.
• Difficulty Forecasting Demand:
  Smart mobility providers lack analytics to identify peak usage times, high-demand zones, or route bottlenecks.
• Regular compliance:
  Operators cannot get accurate data regarding audits, safety standard and compliance.

• Advanced Analytics Dashboards:
  Trakzee provides real-time and historical insights on utilisation, trip performance, idling, and behaviour across mixed mobility fleets.
• Unified Vehicle Monitoring:
  EVs, shared vehicles, rental cars, and shuttle fleets are tracked in a single interface, simplifying operations.
• Trip Reports & Utilization Insights:
  Automatically generated reports help operators understand trip trends, vehicle availability, and daily efficiency levels.
• Route & Movement History:
  Playback tools show exactly how each trip was executed, helping identify delays and route inefficiencies.
• Compliance and operational report:
  Automated, structured reports support audit requirements and regulatory submissions.

• Improved Fleet Utilisation:
  Analytics helped operators identify idle vehicles and optimise deployment across high-demand zones.
• Better Service Consistency:
  Insights into delays and performance gaps allowed companies to improve punctuality and reliability.
• Reduced Operational Costs:
  Data-driven actions minimised unnecessary idling, poor routing, and aggressive driving.
• Higher Passenger Satisfaction:
  Smoother trips and accurate ETAs improved customer experience across shared and on-demand services.
• Faster Decision-Making:
  Unified analytics enabled quicker planning, better resource allocation, and stronger overall performance.