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About

Quicktext, The hospitality AI SuperApp.
More Revenue, More productivity, More satisfaction.
In 2024, Quicktext was recognized as the second most influential AI company in France according to a study conducted by Alliancy and Motherbase.
By harnessing AI and big data Quicktext provides a unique solution, enabling to:
• Interact automatically with customers with Velma the 4th generation chatbot powered by AI and structured data.
• Optimise sales, content, and marketing (Q-Sales, Q-SEO, Q-Dynamic)
• Structure & share hotels' data (Q-Data & Q-Channel)
• Supply data for business intelligence. (Q-BI)

Velma
All around the world, Velma is the #1 AI-powered chatbot for hotels.
She answers more than 1900 points of information and facilitates reservations

Q-Brain+
Composed of the best of both worlds of AI,  conversational AI and generative AI layers designed to handle complex requests.

Q-Data
Enables consolidation, structuring, and distribution of 1900 data points for instant communication, feeding hotel information (web, app, CMS), and external media (Google, Facebook..).

Q-Sales
Operates in real-time, allowing the listing, valuation, analysis of reservation requests.

Q-SEO
The AI generated FAQs enables a fresh flow of relevant structured data which is Google preferred content to index.

Q-BI
Provide business intelligence like bookings, qualified leads, conversions..

Q-Hub
Serves as a unified inbox for various instant communication channels like Facebook, Instagram, WhatsApp, Line, SMS..

Q-Connect
Establishes connections with third-party applications such as CRM, PMS, Call center, ensuring seamless integration.

Q-AD
Captures conversational data criteria to create diverse personas, enabling real-time optimization of advertising campaigns by personalized strategies.

Q-Dynamic
Utilizes a predictive model based on 7 years of data to dynamically adapt the real-time for each visitor.

Keywords

chatbot, artificial intelligence, hotels, digital transformation, data management, hospitality industry, big data, structured data

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130
2017
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