Q-SERVICES

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

See Velma in action !
Mama Shelter Los Angeles (Accor Hotels)

Q-SERVICES

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

See Velma in action !
Mama Shelter Los Angeles (Accor Hotels)

Q-SERVICES: 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: Pre-stay, in-stay, post-stay messages.

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-Avatar: Animated 3D integration

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 answers.


Q-Data

On average, a hotel contains more than 2300 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).
  • feed external media (Google, Facebook, etc.).

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

  • Bookings and qualified leads
  • Conversions by pixel, Google Analytics, call centers, staff, automation.
  • Conversations per volume, per channel (Web, Facebook, Google, Instagram, WhatsApp, etc.),
  • Lead times

And also

  • FAQ's by language, country of origin, date, time, etc.
  • Dialogs status: filled, structured or customised.

Compatible with Power BI, Google Looker, SAS BI, Tableau, Tibia, SAP, 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 (Zendesk)

Q-Automate

Q-Automate, the automation of pre-stay, in-stay, post-stay messages.
Based on conversations generated by Velma, or taken from customer data within the PMS/CRM, Q-Automate enables the generation of automatic messages by email, SMS or WhatsApp

  • Pre-stay: Re-engagement, confirmation, upselling, cross-selling.
  • In-stay: Information, upselling.
  • Post-stay: Satisfaction surveys.

Q-SEO

Q-SEO, the AI generated FAQs.

As Velma knows the type of questions users are asking and when, she is able to automatically generate relevant FAQs by languages and period. These FAQs updated weekly are integrated into your website.

This process enables a fresh flow of relevant structured data which is Google-preferred content to index


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 (2024)

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 6 years of data to adapt the website in real-time for each visitor ( recommendation system for hotels).

Q-Avatar (2024)

Q-Avatar is based, in the first place, on Velma's accumulation of experience over the last 6 years and also on development around expressions, gestures, and lip-synching for more real emotions.