PRODUCTS & SOLUTIONS

Thanks to AI, structured data, and big data, Quicktext is active in the fields of sales, marketing, communication, and hotel operations.

Want a Demo?
Mama Shelter Los Angeles (Accor Hotels)

PRODUCTS & SOLUTIONS

Thanks to AI, structured data, and big data, Quicktext is active in the fields of sales, marketing, communication, and hotel operations.

Want a Demo?
Mama Shelter Los Angeles (Accor Hotels)

A new dimension in the hotel industry thanks to AI and big data

01. Data Management

  • Q-Brain+: The AI dedicated to hospitality.
  • Q-Data: Structured data management.
  • Q-Sales: Lead and reservation management.
  • Q-BI: Business Intelligence.

02. Connectivity

  • Q-Hub: Instant messaging management.
  • Q-Connect: Centralised management of connectivity.
  • Q-Automate: Email automation manager.

03. Big Data

  • Q-SEO: Search engine optimisation powered by big data.
  • Q-AD: Optimisation of retargeting campaigns.
  • Q-Dynamic: Dynamic website by predictive model.
  • Q-Verse: Integration in Metaverses.

Q-Brain+

Introducing   artificial intelligence (AI) into any application requires both a very good understanding of deep (DL) and machine learning (ML) and also years of development to acquire data, train models, and deploy them. 

Q-Brain+ is the first and only AI specialised in the hospitality industry, and as such is the brain behind Velma.

Q-Brain+ is composed of the best of both worlds of AI, both a classical conversational AI layer and a generative AI layer designed to handle complex requests.

Q-Data

On average, a hotel contains more than 1500 data points: the temperature of the swimming pool, the price of a babysitter, the height of the car park, or the location of electric car charging points. 

Q-Data allows you to merge, structure, and distribute all this data to :

  • instantly communicate this information to your visitors thanks to AI. 
  • feed the hotel's information sources (web, app, CMS, communication media).

Q-Sales

Q-Sales allows in real-time to:

  • List, value, analyze and segment reservation requests,
  • Extract confirmed requests generated by Velma, the reservation service, or the call center,
  • Associate tags with each contact according to the content of their conversations,
  • Build waiting lists,
  • Generate reports and trends by hotel, city, category, and country in PDF or XLS format.

Q-BI

Q-BI allows you to add new data categories to your business intelligence (BI):

  • Bookings and qualified leads generated,
  • Conversions per pixel, Google Analytics, call center, booking service,
  • Conversation volume per channel (live chat, Facebook, Google, Instagram, WhatsApp, etc.),
  • Lead times,
  • Most frequently asked questions by language, country of origin, date, time, etc.

Q-Hub

Q-Hub collects your customers’ messages on a single interface. Manage easily your Live Chat, WhatsApp, Line, Google Messages, Facebook Messenger, SMS, and Booking.com communications for one or several hotels.

Thanks to a smart Q-Connect PMS & CRM connectivities, Quicktext also enables you to send automated messages to your guests at key moments of their journey.

Q-Connect

Q-Connect allows you to connect all the hotel's third-party applications

  • CRM, PMS,
  • UP-sales software,
  • Task manager,
  • Call center.

Q-Automate

Q-Automate analyses booking requests and connects to your CRM to automatically generate re-engagement emails to customers who have not completed their booking online.

Q-SEO

Conversation data collected via Velma Hotel chatbot allows customer interactions to be segmented by country, city, device used, date and time of connection. 

Q-SEO anonymises and records these criteria in order to obtain traveler profiles and anticipate their needs. This data is used in real-time to improve the referencing of the website.

Do you want to know more about SEO for hotels and how it works?


Q-AD

The conversational data generated is segmented according to the following criteria: country, city, device used, date, and time of connection.

Q-AD records these criteria after having anonymised them, in order to obtain multiple personas. These criteria allow advertising campaigns to be optimised in real-time by personalising them.

Q-Dynamic (2023)

A New Yorker and a Parisian visiting the website of a hotel in London do not have the same interests but will see exactly the same thing.

Q-Dynamic uses a predictive model based on 5 years of data to adapt the website in real-time for each visitor ( recommendation system for hotels).

Q-Verse (2023)

Q-Verse is based, in the first place, on Velma's accumulation of experience over the last 5 years and also on development around expressions, gestures, and lip-synching for more real emotions in the Metaverse for hospitality.