Migrating Europe’s Largest Airline To Amazon Connect

Transformation at Scale: Leveraging Conversational AI and Generative AI for the Travel Industry

Ryanair, Europes Largest Airline Logo.

Ryanair, Europes Largest Airlines Logo

In today's fast-paced digital world, the travel industry is undergoing a significant transformation. At the forefront of this change is Cation Consulting, led by Alan Kiernan, CTO, and Stephen Keane, Head of Digital Transformation at Ryanair.

Amazon Connect: A Game Changer

In September 2023, Ryanair began implementing Amazon Connect, a cloud-based contact center service. The rollout plan includes all markets, with a focus on data-driven changes based on call types1.

Ryanair's use of Amazon Connect has been instrumental in transforming their customer service operations. By leveraging this cloud-based contact center service, Ryanair has been able to achieve several key milestones:

Stable Platform

Since its implementation, Amazon Connect has provided a stable platform with no outages, ensuring a reliable customer service experience1.

High Call Volume

Supporting customer calls for the world's third-largest airline demonstrates the scalability and efficiency of the platform.

Data-Driven Changes

The rollout plan includes all markets, with changes driven by data insights based on call types. This allows Ryanair to continuously optimise their customer service processes.

High Degrees of Automation and Efficiencies

By integrating advanced automation technologies, Ryanair has been able to deliver dynamic and efficient customer journeys. The deployment of AI-powered tools such as the Amazon Lex bot has allowed Ryanair to handle a multitude of customer interactions seamlessly.

The efficiencies gained through these automated systems translate to shorter wait times, quicker resolutions, and a consistently high-quality experience for customers. For instance, the ability of the system to personally identify callers, provide real-time flight information, and offer tailored suggestions dramatically enhances the overall customer experience. Moreover, the integration of these technologies into Ryanair's app ensures that any changes made during the call are immediately reflected on the user's mobile device, further streamlining the process and eliminating potential frustrations.

These advancements underscore Ryanair's commitment to leveraging technology to not only meet but exceed customer expectations. By continuously refining their approach through data-driven insights, they are able to adapt and improve the customer journey, ensuring that each interaction is as efficient and satisfactory as possible.

Special Assistance Services

One of the key areas of improvement has been in special assistance services. By designing ways to enhance this service, Ryanair has significantly reduced the average handling time (AHT) for calls, making it easier for callers who need urgent help.

Enhanced Contact Center Experience

Looking back, Ryanair successfully created a future contact centre experience that is both dynamic and personalised. By using data-driven insights and generative AI, they defined 25 contact strategies across various customer journeys, including booking queries, check-in, baggage, disruptions, refunds, and general queries. This approach ensured that customers received the best possible support tailored to their specific needs.

The Power of AI

The rollout successfully introduced the Amazon Lex bot, powered by Natural Language Processing (NLP), which personally identified callers, had their flight details ready, provided the latest status, offered suggestions based on customer needs, and made changes that were updated on the caller's app. This level of automation and personalisation greatly enhanced the customer experience, reducing the need for human agents and streamlining the support process.

NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. It enables computers to understand, interpret, and respond to human language in a valuable and meaningful way.

Technical Details

Cation Consulting’s approach to leveraging AI involves several key technical components:

  1. Data-Driven Insights: The use of advanced reporting and analytics allows the team to continuously optimise customer journeys. By analysing call data, they can identify patterns and make data-driven changes to improve the caller experience4.

  2. Integration with AWS Native Services: Leveraging AWS native services to shape calls and responses, extending the value from existing services. This integration ensures a seamless and efficient customer service process.

  3. Generative AI and Natural Language Processing (NLP): By using generative AI and NLP, the team created dynamic and personalised customer experiences. This includes predefined resolution paths and adaptive paths that encourage self-service and provide the capability to handle complex queries.

  4. Continuous Learning and Iteration: Cation Consulting's delivery approach emphasises moving fast, iterating, and using data as a key component in the solutions approach, design, and ongoing evaluation. This proactive and dynamic structure ensures that customer journeys are continuously optimised and improved.

Delivery Approach

Cation Consulting's delivery approach is centred around a methodology that combines people, technology, and continuous learning8. This approach ensures that all aspects of the project are aligned and working towards the same goal. The methodology includes:

  • People: Ensuring that the right team members are in place and that they are continuously learning and adapting to new challenges.

  • Technology: Leveraging the latest technologies to create efficient and effective solutions.

  • Continuous Learning: Emphasising the importance of continuous learning and iteration to improve processes and outcomes.

Release Philosophy

The release philosophy at Cation Consulting is built on the principles of moving fast, iterating, and using data as a key component in the solutions approach, design, and ongoing evaluation9. This philosophy includes:

  • Move Fast & Iterate: Quickly implementing changes and iterating based on feedback and data.

  • Data-Driven: Using data to inform decisions and continuously improve the customer experience.

  • Continuous Learning: Emphasising the importance of learning from each release and making improvements based on those learnings.

Steps in the Rollout

The rollout of Amazon Connect at Ryanair was executed in several stages to ensure a smooth and effective implementation:

  1. Initial Implementation: The initial stage involved setting up Amazon Connect and integrating it with Ryanair's existing systems. This included configuring the platform to handle high call volumes and ensuring stability with no outages1.

  2. Pilot Phase: During the pilot phase, Amazon Connect was rolled out to a select group of markets to test its functionality and gather data on call types and customer interactions.

  3. Data-Driven Optimisation: Based on the insights gathered during the pilot phase, Ryanair made data-driven changes to optimise the platform. This included refining call handling processes and enhancing special assistance services to reduce average handling time (AHT) for calls.

  4. Full Rollout: After successful optimisation, Amazon Connect was rolled out to all markets. This stage involved extensive training for customer service agents and continuous monitoring to ensure a seamless transition1.

  5. Continuous Improvement: Post-rollout, Ryanair continues to use data-driven insights to continuously optimise customer journeys. This includes defining dynamic and personalised automated customer experiences across 25 contact strategies.

Conclusion

In conclusion, the transformation at scale being driven by Cation Consulting and Ryanair is a testament to the power of conversational AI and generative AI in the travel industry. By leveraging these advanced technologies, they are not only improving customer service but also setting a new standard for the future of travel. As they continue to innovate and iterate, the possibilities for enhancing the travel experience are endless.

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