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Enabling the AI-Driven Airline
Enabling the AI-Driven Airline

October 10, 2022

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In this digital and competitive age, every airline is focused on ensuring optimized utilization of their assets and giving the best possible experience to passengers. The airline industry handles an enormous quantity of data from different sources and actions like- reservation systems, departure systems, baggage management, revenue management, flight control, CRM, websites, and many more, thus collating all this data and analysing this effectively becomes very important as it helps the airlines transform from how they operate to how they achieve business excellence.

Applying artificial intelligence (AI) and machine learning (ML) to unlock insights from data is a key competitive advantage for businesses today. Today’s modern enterprises understand the benefits machine learning can provide and want to expand its use. However, as they attempt to operationalize their ML models, they face challenges. MLOps platform enables airlines to develop, deploy, monitor, and manage advanced analytics and machine learning (ML) and AI solutions in a self-service, collaborative, governed, and secure manner.

Airlines have turned to AI to increase modelling efficiency and accuracy while speeding up logistical operations to gain a competitive advantage. From passenger loyalty and FFPs to flight scheduling and predictive maintenance, there are endless possibilities for AI within the airline industry.

ENHANCE OPERATIONAL PLANNING

  • Detect fraud
  • Predict flight delays and cancellations
  • Forecast catering and duty-free needs
  • Check-in / security lane forecasting

OPTIMIZE ENGINEERING

  • Fuel usage
  • Predictive maintenance

ENHANCE COMMERCIAL PLANNING

  • Demand forecasting
  • lose fare decisioning
  • Dynamic pricing of ancillaries
  • Path to purchase on website
  • Anomaly detection for fares

EXCEL IN CUSTOMER ANALYTICS

  • Next Best Offer (NBO)
  • Next customer state
  • Business/leisure mix
  • Optimize marketing spend
  • Customer satisfaction

MANAGE STAFFING EFFORTS

  • Hiring
  • Retention
  • Morale
  • Top performers
  • Call center volume forecasting

Airlines aiming for total revenue optimization need intelligent solutions. While artificial intelligence and deep learning algorithms promise better forecasting capabilities, those systems can only truly shine when coupled with the flexibility and human touch of a data analyst.


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Prem Naraindas
Founder & CEO

Founder & CEO of Katonic.ai. Pioneering no-code Generative AI and MLOps solutions. Named one of Australia's Top 100 Innovators by "The Australian." Forbes Tech Council member, LinkedIn Top Voice 2024 , Advisor to National AI Centre. Previously led blockchain and digital initiatives at global tech firms. Katonic.ai: Backed by top investors, featured in Everest Group's MLOps PEAK Matrix® 2022. Passionate about making AI accessible to all businesses. Let's connect and shape the future of tech! #AIInnovation #TechLeadership #AustralianTech

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