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Taking Flight with AI: Korean Air Partners with AWS to Launch AI Contact Center

Jinju by Jinju
PUBLISHED: May 21, 2024 UPDATED: May 21, 2024
in AI, Airlines, Korean Air
0
Taking Flight with AI: Korean Air Partners with AWS to Launch AI Contact Center

Image credits: Korean Air

Korean Air has collaborated with Amazon Web Services (AWS) to introduce an AI Contact Center (AICC) platform. The partnership will integrate advanced artificial intelligence (AI) technologies into customer service operations, enhancing overall service quality.

The AICC platform, unveiled during a company kickoff event in Seoul, promises improved personalization and efficiency in customer service interactions. Leveraging AWS’s cloud technology infrastructure, Korean Air seeks to elevate its customer service offerings through innovative AI-powered solutions.

With Amazon’s advanced technology solutions, Korean Air plans to develop a cloud-based intelligent customer service platform. The platform will utilize AI advancements to power voice bots and chatbots, enabling them to handle customer queries and provide personalized assistance efficiently.

During the kickoff event, key executives from Korean Air and Amazon Web Services (AWS) were present to highlight the importance of the AICC platform. Korean Air’s President Keehong Woo talked about the company’s plans to deliver enhanced customer experiences through personalized services and swift issue resolution. 

Francessca Vasquez, Vice President of Professional Services and GenAI Innovation Center at AWS, also emphasized the transformative potential of AI-powered customer service solutions. By integrating AI technologies and direct customer interactions, Korean Air aims to elevate service quality and provide a seamless experience for passengers. 

Korean Air’s AICC initiative plans to improve its customer service operations by leveraging AI technologies to enhance direct customer interactions and improve service quality through call log analysis. 

The airline’s strategy involves streamlining call center operations by consolidating its infrastructure onto a single AWS Cloud platform by September. Furthermore, Korean Air plans to integrate machine learning and generative AI by February 2025 to refine its services further and expand service channels.

Kenneth Chang, Korean Air’s Chief Marketing Officer, described the partnership with AWS as instrumental in leveraging advanced AI technologies to transform customer interactions and enhance the overall customer experience.

However, as Korean Air moves towards an AI-centric customer service approach, questions arise about the broader implications of this strategy. While the airline has consistently ranked among the top airlines globally in customer satisfaction, pursuing AI-driven customer service raises considerations about the evolving landscape of customer support in the airline industry. 

Other airlines, such as American Airlines and Frontier Airlines, have made similar shifts towards digital and AI-based customer support solutions, indicating a broader trend in the industry towards automation and digitization to meet evolving customer expectations.

In 2021, the airline migrated all its IT systems to the cloud, making itself the first major global airline to do so. This transition enabled Korean Air to proactively and flexibly respond to dynamic market conditions, ensuring operational efficiency and resilience.

Building on its cloud adoption success, Korean Air expanded its digital capabilities by implementing Workday, a cloud-based software-as-a-service (SaaS) solution for financial and HR management, in the previous year. With this, Korean Air aims to leverage cloud technologies to streamline processes and enhance operational efficiency across various business functions. 


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  • SK Telecom and Swift Navigation Collaborate for Location-Based Technologies in South Korea
  • South Korea’s $70 Million Investment in AI-Powered Learning
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  • South Korea prepares support package worth over $7 billion for chip industry
Tags: AI centerAWSKorean Airpartnership

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