Building a Business Case for BluFi
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This document discusses building a business case for BluFi, a passenger tracking solution. It begins with introductions and an overview of Amor Group and the presenters. It then discusses the need for passenger tracking to deliver the next generation airport with benefits like improved operations, customer experience, and new revenue streams. Various options for tracking like manual counts, tokens, barcodes and CCTV are presented alongside BluFi, a wireless solution. BluFi's features and dashboard outputs are described. A case study of Oslo Airport shows how passenger tracking improved efficiency and perceptions. The document concludes with an invitation for questions.
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Building a Business Case for BluFi
- 1. Building a Business Case for BluFi Shaun McDougall, Marketing Manager Robin Telfer, Airport Operational Specialist 28th June 2012 © Amor Group 2010
- 2. Welcome • About Amor & your presenters • Delivering the Next Generation Airport • Building a Business Case for PAX Tracking • Understanding the Options • Practical Example • Questions © Amor Group 2010
- 3. About Amor Group • World leader in airport technology innovation • Bases in UK (6 offices), Dubai & Houston, TX • 600+ employees • 50+ Airport Customers • Global capability • 20 years leading airport operations © Amor Group 2010
- 4. About the Presenters Robin Telfer, Airport Operational Specialist 10 years experience in the global aviation industry working with Airports, Airlines, Regulators, Ground Handlers and MROs Shaun McDougall, Marketing Over 7 years experience working with technology focused product & service companies © Amor Group 2010
- 5. The Next Generation Airport he new model Technology enabled Innovation & New Services Process Aligned stakeholders Optimization Enhanced Customer Passenger Centric Perception Enhanced Safety & Security Competitive Advantage New Revenue Streams Cost Savings & Efficiency New Technology © Amor Group 2010
- 6. Delivering the Next Generation Airport © Amor Group 2010
- 7. Why Invest in PAX Tracking & Queue Measurement © Amor Group 2010
- 8. Options • Manual measurement • Token-based distribution • Barcode scanning • CCTV analytics • BluFi © Amor Group 2010
- 9. Manual Measurement Step 1: Pick a passenger Resource intensive Step 2: Time period in queue Risk of error Step 3: Record time Limited timeframe _ © Amor Group 2010
- 10. Token-based distribution • Paper, Plastic, RFID, NFC, Zigbee tokens Distribute token Collect token @ Point A @ Point B Interruption of the passenger journey. © Amor Group 2010
- 11. Barcode scanning • Utilises existing barcoded boarding passes Scan @ Scan @ Point A Point B What is the cost of employment? © Amor Group 2010
- 12. CCTV Analytics Sensor Counter © Amor Group 2010
- 13. BluFi - Background 2004 2011 2012 First Installation 750m PAX tracked World’s first © Amor Group 2010
- 14. BluFi – The solution Automated, non-obtrusive 50% sample rate tracking Passive = no interference Applicable in multiple situations © Amor Group 2010
- 15. BluFi – The solution Simple point to point queue © Amor Group 2010
- 16. BluFi – The solution Multi-entrance/exit © Amor Group 2010
- 17. BluFi – The solution Extended queue time © Amor Group 2010
- 18. Web Based Dashboards © Amor Group 2010
- 19. Business Case for PAX Tracking & Queue Measurement • Management of enhanced security requirements shorter wait times and increased capacity • SLA monitoring & management meet contractual and regulatory requirements • Increased non-aviation revenue greater revenue in shops, bars and restaurants • Improved guest experience Positive impact on ASQ scoring • Aircraft turnaround improve PAX flow to enhance satisfaction and flight punctuality © Amor Group 2010
- 20. Practical example: Oslo Airport Europe’s Most Efficient Airport Operating at 100% New Terminal opens 2017 © Amor Group 2010
- 21. Enhancing PAX Perceptions © Amor Group 2010
- 22. Outcomes • 2011: OSL voted Europe’s Most Efficient Airport by Air Transport Research Society • Increase in overall ACI ASQ scoring, particularly on Passenger Experience • More efficient use of capacity through improved passenger forecasting and tracking © Amor Group 2010
- 23. Questions © Amor Group 2010