Artificial Intelligence in Commercial Aviation: Use Cases and Emerging Strategies

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This book is a must read for aviation managers and all stakeholders that are interested in improving the business performance of airlines. In this book, the first of its kind on AI in Commercial Aviation, the author outlines how Machine Learning and AI are accelerating and improving the performance of airlines. Moreover, the author shares insights into many new use cases that emerging technology can deliver. He tackles all crucial functions from air navigation, flight operations, to sales, distribution, cargo, retailing, and commercial optimization. He then looks forward to blockchain and the metaverse and its opportunities.

With connected devices and the Internet of Everything (IoE), airlines can become retailers, sell, deliver, and service holistic experiences tailored to individuals in real time. This requires airlines to modernize processes and practices supported by decision intelligence (AI) that ingests sophisticated insights and executes service automation in real time. Transforming airlines from a production to a services-based execution also requires departments to be aligned along overriding customer experience and profitability goals. The book demonstrates how AI can be deployed to redesign airline organization as well.

The author also describes the next wave of business transformation around the integration of commercial functions using Composite AI at enterprise level. With his holistic understanding and experience in the airline industry, the author provides valuable insights and helps managers understand how to embrace ML and AI and contribute to future commercial aviation and cargo success.

Author(s): Ricardo V. Pilon
Publisher: Routledge
Year: 2023

Language: English
Pages: 258
City: London

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Foreword
Preface
List of Acronyms and Abbreviations
Introduction to Artificial Intelligence
Part 1 Applications of AI and Emerging Opportunities in Air Transport Operations
1 Air Navigation and Flight Operations
2 Aircraft Operations and Crew
3 Customer, Contact, and Self-Service
4 Inflight and Cabin Services
5 Digital Cabin and Sensory Applications
Part 2 Applications of AI and Emerging Opportunities in Commercial Management
6 Network and Schedule Planning, Aircraft Assignment
7 Fleet Planning and Aircraft Acquisition
8 Demand Forecasting, Pricing, Ancillary, and Revenue Management
9 Loyalty Management
10 Sales and Distribution
11 Retailing and Digital Assistants
12 Total Revenue Optimization (All Commercial Functions)
13 Brand Management, Reputation, and Social Media
14 Cargo Warehouse and Handling
15 Cargo Commercial Management
16 Human Resources Management
Part 3 Artificial Intelligence and Organization
17 AI and Organization Design
18 Enterprise, Composite AI and the Real-Time Organization
Part 4 Trends and Evolutions in AI
19 Explainable AI
20 Hybrid Intelligence – Addressing Deskilling, Upskilling, Reskilling
21 Ethical and Responsible AI (Security Privacy, Environment)
22 Trends and Debates in AI
23 AI on Blockchain, and Distributed AI with Blockchain
24 AI and Metaverse, Web3
25 Applied Psychology and AI Adoption
Index