With changing priorities of air travel passengers, the travel industry constantly needs to introduce new solutions and services that will improve passenger experience and give them a highly comfortable environment while flying.

We are looking for a digital concierge that enables passengers to have a simple, seamless, and engaging travel journey while flying through Bengaluru Airport thus allowing them to experience the airport as a ‘destination’. 

Build innovative solutions using a wide array of Microsoft Azure Services to improve a passenger’s experience across the different stages of their journey—starting from planning the journey and boarding the flight to arriving at their destination airport and everything in between and after!

Some of the stages of a passenger journey that you can innovate under include but are not limited to:

1) Pre-travel experience 

• Booking travel tickets
• Planning ride/commute to the airport
• Planning the stay
• Personalized recommendation from user-behaviour

2) Airport transit (from your home/hotel to the airport)

• Smart travel to the Airport
• Showing travel checklist and important guidelines

3) Experience at the airport (during travel)

• Smart parking services
• Self-serve kiosks
• Commercial information
• Maps and wayfinding
• Entertainment and services
• Food and beverage 
• Omnichannel shopping
• Smart security and boarding
• Departure and arrival 
• Baggage collection and departure 

4) Post travel experience

• Smart commute to destination
• Passenger feedback management
• Customer support bots

Important

The stages mentioned above are for reference only. While these are some broad highlights, you are encouraged to think out of the box and come up with innovative solutions that can simplify and enhance even the experience of people accompanying passengers to and from the airport. 

• Accentuate your mind and give a creative name to your airport app
• Preferred stack: Mobile application
• Technology guidance: Microsoft Azure Services
• Use open source data for analytical and recommendation features