Analytics in Travel, Transportation and Hospitality

At Coforge we’re picking the hard problems that are not solved using conventional methods and tools. Some of the common and representative business scenarios where we have added Business value through Advanced Analytics are highlighted below: 

  • Reduce Aircraft turnarounds: Analyze aircraft turnarounds in real-time and build a predictive model that helps to run operations efficiently. Minimize turnaround time or cut on buffer time. 
  • Un-manned automated vehicles: Build a model that ensures un-manned automated vehicles to be safer, efficient, and achieve seamless operations at the airside. Since many vehicles are from different service providers are not optimally used.  
  • Customer behavior analysis and gamification: Analyze Customer preferences based on behavior, buying patterns, dwell times, flow, heat maps, and find ways to improve customer experience and engagement. 
    • Insights on buying behavior 
    • Personalized offers and rewards 
    • Engage the passengers other than buying (Gamification)  
  • Operations and maintenance management performance: Predictive models to enhance the efficiency of operations and maintenance. Electrical, Switchgear, transformers, mechanical equipment, HVAC (heating, ventilation, and Air conditioning) machines in the terminal building. Optimize overall maintenance using sensor data analytics. 
  • IoT Analytics: Using sensor information to understand usage patterns & see how customers utilize the facilities throughout the airport. This can lead to greater predictive maintenance, better allocation of operations and maintenance staff, and facilities management. 
  • Facial recognition: Facial recognition is tamper-proof to enable seamless transit from airport entry to flight gates and eliminate the need for any physical document. The face becomes the boarding pass. Facial recognition can also enhance security monitoring and alerting. 
  • Voice assistance and chat: Design Voice assistance and chat module that can assist passengers with different dialects mainly in transit and immigration systems. 
  • User experience: Futuristic user experience and interaction through self-service kiosks for various purposes including:  
    • Commercial information  
    • Maps and wayfinding  
    • Passenger feedback management 
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