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Ethiopian Airlines Taps AI's Predictive Power to Personalize Passenger Experiences and Grow Revenue

Leading airline improves sales conversions by 50%, gains an all-new window into online customer behaviors and interests with Genesys


News provided by

Genesys

Oct 22, 2020, 08:00 ET

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SAN FRANCISCO, Oct. 22, 2020 /PRNewswire/ -- As passengers scoured Ethiopian Airlines' website to adjust or cancel flight itineraries amidst COVID-19 travel restrictions and bans, its contact center agents knew precisely how and when to intervene. Genesys® Predictive Engagement, an application that leverages artificial intelligence (AI) and machine learning, helped the airline use real-time statistics and data to engage passengers in more efficient, personalized interactions. Even as companies in every industry have struggled with long customer support hold times throughout the pandemic, Ethiopian Airlines has successfully reduced the average dwell time for its passengers by 72%. This is the result of using customer data and insights to provide more relevant and timely service.

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2017 Genesys logo (PRNewsFoto/Genesys)
2017 Genesys logo (PRNewsFoto/Genesys)

Unrivalled in Africa for efficiency and operational success, Ethiopian Airlines serves 127 international and 22 domestic destinations. Like many businesses, the company is always looking to lower costs and improve margins. Growing direct sales by capturing every potential booking from callers and website visitors is vital to meeting those goals.

Accelerated service and tailored offerings

In the months preceding COVID-19, Ethiopian Airlines began using Genesys Predictive Engagement from within the Genesys Cloud™ platform to glean insights from its passengers' website visits and uncover trends about their behaviors and interests. This allows the company to use real-time statistics and data to tailor deals for individual customers, which employees can offer via web chat. For example, consider a passenger who recently added an airline ticket to the online cart but did not complete the purchase. The airline can use this intelligence to determine how and when to offer a chat with a sales rep to help convert the sale. In addition, the insights help identify pricing issues that are limiting certain ticket sales. 

Maximizing conversion rates with the power of AI

"We knew we were missing out on revenue from thousands of prospects browsing and leaving our website," said Getinet Tadesse, CIO at Ethiopian Airlines. "Genesys Predictive Engagement has enabled us to capture significantly more website window shoppers. Conversion rates rose by 14% in the first two weeks and by 49% at the six-week stage. And, we've only really scratched the surface of what the tool can do."

Ethiopian Airlines is strongly placed for growth as the industry adjusts to a new normal. The airline is poised to ramp up from 30,000 daily calls and 12 million passengers annually. It also plans to integrate Genesys Predictive Engagement into its mobile app and enable AI-powered virtual assistants to respond to basic customer requests and frequently asked questions.

Customer experience gets personal

While Genesys Predictive Engagement was built to leverage insights from website visits, the application's most recent release helps businesses, like Ethiopian Airlines, tap into data from numerous native and third-party systems. This includes data from a CRM, an ATM event and a web chat, for example, to give organizations a more holistic view of an individual customer's behavior and make accurate predictions to drive even better business results.

Genesys also recently added deeper machine learning capabilities including identity stitching, sequenced learning and reinforced learning with A/B testing. Organizations will benefit from more comprehensive intelligence about each customer, enabling them to deliver more prescriptive actions and service to produce optimal results, such as converting a sale, avoiding churn, and more.  

"Today, Genesys Predictive Engagement connects an innovative chain of actions, including past customer events, profile information and history, across multiple systems and channels, such as web and mobile, providing richer behavioral data," said Olivier Jouve, executive vice president and general manager of Genesys Cloud. "This enables organizations to deliver even more personalized offers and service while improving important business KPIs like lead conversion rates, for example."

Newly embedded in Genesys Cloud, Genesys Predictive Engagement is a core component of the AI engine that enables Experience as a ServiceSM, the company's vision for the contact center industry to power unprecedented levels of personalization.

Learn more about how Ethiopian Airlines put their passengers first with Genesys Predictive Engagement.

About Genesys

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experiences as a ServiceSM so organisations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys Cloud™, an all-in-one solution and the world's leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.

©2020 Genesys Telecommunications Laboratories, Inc. All rights reserved. Genesys, and the Genesys logo, are trademarks and/or registered trademarks of Genesys. All other company names and logos may be registered trademarks or trademarks of their respective companies. 

Contact:
Shaunna Morgan
Senior Public Relations Manager, Genesys
[email protected]

Nectar Communications
[email protected]

SOURCE Genesys

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http://www.genesys.com

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