Remove Chatbots Remove Interaction Remove Travel
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Growth vs. Customer Experience: A Dilemma?

ECXO

Companies that can master the balance between driving growth and fostering genuine, positive interactions with their customers are not just survivingthey’re thriving. Example Action: Use tools like customer journey mapping software or feedback surveys to visualize and refine key interactions.

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Chatbots for the tourism industry, a multi-faceted benefit

Inbenta

Today’s travelers no longer go to their local travel agent in order to book their trips, they are more and more connected and digitally savvy, doing all their research online. “64% of travelers and 80% of business users expect travel companies to respond to them in real time.” Chatbot: what is it exactly?

Tourism 121
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How InsuranceDekho transformed insurance agent interactions using Amazon Bedrock and generative AI

AWS Machine Learning

To initiate this workflow, our chatbot serves as the entry point, facilitating seamless interaction between the insurance advisors and the underlying response generation system. Outside of work, he enjoys traveling to new destinations and spending time with his family.

Insurance 104
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Boosting Your Customer Support: Human-Operated Live Chat vs Chatbots

Kayako

If you’ve had a customer support interaction recently, did you speak with a real person or a chatbot? Chances are that your request has been handled by a chatbot instead of a person. It is very possible, then, that you have probably interacted with one too (if not more!). billion in 2025.

Chatbots 125
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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

When building voice-enabled chatbots with Amazon Lex , one of the biggest challenges is accurately capturing user speech input for slot values. Conversation 2: Virtual Agent: Thank you for calling Acme Travel. Conversation 3: Virtual Agent: Thank you for calling Acme Travel. Customer: Id like to check my booking 1 9 A Z Y.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

We build a personalized generative AI travel itinerary planner as part of this example and demonstrate how we can personalize a travel itinerary for a user based on their booking and user profile data stored in Amazon Redshift. Prompt engineering makes generative AI applications more efficient and effective.

Chatbots 136
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Elevating Guest Experiences in Hotels with Integrated CX

InMoment XI

Out of nowhere, citizens were flocking in droves to distant lands, as travel by plane, sea, and car surged. The coming year is no exception, as consumers across the globe plan to make travel a priority, despite ongoing economic uncertainty. Each traveler is different, with unique needs, preferences, and motivations for travel.

Hotels 195