Big Data for Logistics

Logistics providers can obtain deep business insights and timely information as a source of new competitive differentiation. The following key features can be used to accelerate the adoption of Big Data in a logistics company. The solution includes key features such as live fleet visibility, integrated driver dashboard, digital trail correlation, predictive assessment and customizable scheduler. Logistics providers can now predict the data points at which their load fulfillment optimizes and freight cost per unit decreases. The solution includes the following features:

  • Live maps & Geofencing
    • Real-time fleet-visibility
    • Real-time driver & vehicle data feeds
    • Real-time driver tracking via on-field analytics
    • Heat maps of all vehicles of the company moving within pre-defined geographic zones
  • Integrated Driver Dashboard
    • 360 degree driver dashboards
    • Telematics data from each driver’s electronic log book
    • HOS compliance by tracking & reporting each driver’s hours of service within last 24 hours
    • Driver Risk Mapping (HOS, miles driven, pay levels, past behavior & comparison to company averages)
  • Digital Trail Correlation 
    • Customer service inquiry mapping
    • Complaint management mapping
    • Response analytics (based on response to sales and marketing activities)
    • Statistical series on shipping volume and received service quality levels
    • Data Penthouse (developed using data from 5 distinct sources; operational data, dark data, public data, commercial data, social media data)
  • Customer Loyalty Management
    • Predict customer churn
    • Trigger periodic recommendations for countermeasures
    • Predict customers’ future service needs based on time-series data
  • Predictive assessment 
    • Predictive assessment module (drivers’ fatigue, job satisfaction levels, employee turnover, absenteeism)
    • Service improvement and service innovation through comprehensive view of customer requirements and service quality
  • Customizable Scheduler

    • Customizable task assignment (based on real-time data regarding on-field vehicles, available pool of vehicles, under-maintenance vehicles and advance bookings)
    • Vehicle availability and scheduling (open slots in a simple calendar format; which syncs with Google Calendar) 

Data Sources

  • ERP data
  • Driver logs
  • HR records
  • Dispatch systems
  • Shipment Records
  • GPS data and sensors
  • Social Networks/Weblogs
  • Maintenance and fuel systems
  • Electronic On-board Recorder (EOBR)
  • Publicly & Social Media Information


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