VerifiedIT Services and IT Consulting· Founded 2017

Quicktext

Quicktext, The hospitality AI SuperApp. More Revenue, More productivity, More satisfaction. By harnessing AI and big data Quicktext provides a unique offer, 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. If you're interested in joining our community of 1700+ clients across 76 countries, contact Benjamin Devisme at bde@quicktext.im.

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HeadquartersParis, FranceEmployees111(51 to 200)Annual revenue<$1MFounded year2017Websitequicktext.imLinkedIn profileLinkedIn

Verified contacts

128

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LinkedIn employees

111

51 to 200 range

Open roles

no listings

Distinct roles

93

indexed titles

Tech stack

6

tools in use

Monthly traffic

114

organic / mo

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Top roles at Quicktext

93 distinct titles indexed · top 10 shown.

  • 8account manager
  • 5full stack developer
  • 3benchmarking specialist
  • 3product owner
  • 3project manager
  • 2english - spanish catalan translator saas & hospitality industry
  • 2head of business development quicktext uk
  • 2ingénieure développement web
  • 2machine learning engineer
  • 2marketing manager
  • +83more titles

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