For many of us, transit represents the lifeblood of cities, fulfilling an essential and multi-functional role to ensure the livability and sustainability of urban communities. However, transit is facing numerous complex challenges in the medium to longer term, stemming from myriad demographic and socio-economic trends, changes in land-use and mobility patterns, societal changes and concerns, emerging professional practices, etc.

At this junction, growth and survival of small and mid-sized transportation companies will became a question in this competing market. Even though there is good opportunity to offer unique, complex and holistic transportation packages in market, submarkets and niches, only few of the small and mid-size companies are ahead of the game because of their advantage in clear business insight and data analytics to fine tune their business.

Current Industry Challenges

  • Tracking performance of different branches / locations
  • Identify driver absenteeism patterns and trends
  • Root cause analysis to understand service level failures
  • Cost reduction - Fleet, Driver
  • Control Driver shortage
  • Improve Driver efficiency
  • Improve Extra board utilization
  • Increase Mechanic efficiency
  • Reducing Overtime costs
  • Disconnect between cost and sales data
  • Manual process in basic financial reports (P&L, CF, Balance sheet, etc.)
  • Disconnect between financial data to other functional departments
  • Reducing the gap between Budget and Actual
  • Reduce average labor cost
  • Detailed understanding on Incidents/Accidents compensation impact


  • Loosing track on performance improvement
  • Inability to identify the underperforming functions / bottlenecks
  • Unable to fine-tune service level load distribution
  • Delay in taking corrective actions to fix issues and failures
  • Failure to handle transit volume trends
  • Losing money on Overtime and Extra board drivers
  • Missing data points in understating the operation's big picture
  • Loosing edge on competition
  • Huge turnaround time to analyze financial KPIs
  • Human dependent and error prone process
  • Financial loss because of missing data
  • Minimal visibility on other functional areas that effect finance
  • Delay in business actions
  • Unable to identify revenue trends and patterns


  • Driver efficiency dashboard
    • Driver Absenteeism forecasting
    • Driver Availability
    • Pay to Revenue
    • Driver Absenteeism vs Extra-board utilization vs Driver Over-time vs Stand by time
  • KPIs to help reducing driver stand by time and Driver overtime
  • Location based performance tracking
  • Analysis on loss making branches
  • Identify and automate manual data processing
  • Safety and Risk analysis
  • Non-Revenue Miles and Hours Analysis
  • Profit and Loss report
  • Balance sheet
  • Cash flow statement
  • Customer revenue analysis
  • Cost and sales consolidation
  • Labor cost analysis
  • Budget forecasting
  • KPI s on Accidents, locations and their finance impact


  • Clear view of underperforming functions and bottlenecks
  • Reduce driver OT and Standby time
  • Improve Driver efficiency
  • Complete insight on operational issues
  • Detailed volume trends and patterns
  • All operational KPIs aligned with company objectives
  • Achieve efficient and cost effective operations
  • Reduction in manual effort
  • Ability to address the issue before losing control
  • Quicker turnaround time on financial questions and research reports
  • Minimize loss of money due to missing data
  • Gain financial control over all departments
  • Informed financial decisions