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.
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.
On average, a hotel contains more than 1900 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 :
Q-Sales allows in real-time to:
Q-BI API allows you to add new data categories to your BI (business intelligence):
And also
Compatible with Power BI, Google Looker, SAS BI, Tableau, Tibia, SAP, etc.
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 allows you to connect all the hotel's third-party applications
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
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
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.