Customer experience for airlines

Intimate conversational experiences for the age of experience travel

Innovation with a proven business impact

Revolutionize your customer service

Sample use cases: Purchases, flight comparisons, pricing, FAQs, loyalty, refunds, cancellations, modifications, flight status, troubleshooting, recommendations, passwords, sign-up, payment options, coupons, promotions
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Sample use case automation
airlines

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Airlines pain points
How Pypestream solves it

Omnichannel

Build once, deploy across a myriad of channels. Pypestream offers transformation layers to Facebook Messenger, Whatsapp, Amazon Alexa, and more. Rather than build a basic bot for each different backend system, use Pypestream as your central hub to integrate with all backend systems so users can transact across a wide range of tasks within a single interface, wherever they are. Finally, an architecture that makes life simple for the end-user.

Omnichannel
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American Airlines is compensating for reduced cabin staff and meal service by doubling down on technology. ‘The focus on clean, safe, touchless experiences will only continue to grow, post-pandemic.

Maya Leibman
Executive Vice President and CIO
American Airlines
Fortune

Web conversational interface

Delight consumers with dynamic, secure, transactional messaging experiences.

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Maps
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Scheduling
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Transactions
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List pickers
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Video
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Redaction & masking
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Dynamically generated graphs
seat picker
Seat selection
flight info
Flight information
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Signatures
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Surveys

Pre-built conversation designs for airlines

Accelerate your time to value by leveraging Pypestream’s library of pre-built conversation designs for airline use cases.
Our “conversationalized” content, flow architecture, and embedded UX features make for the very best passenger journeys, from booking flights to special assistance requests to redeeming miles.
airlines conversation flows
airlines intents

AI training data
for airlines

Does your company lack historical conversation logs for AI training? No problem. Work with us to tap into a wide array of utterance data sets for the most common intents.

Pre-built intents serve as a great starting point; you can further increase each intent’s accuracy by adding more utterances based on actual production data.

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Conversationalize travel:

Watch it in action

Airlines integrations

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