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 requests.
On average, a hotel contains more than 1000 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 allows you to add new data categories to your business intelligence (BI):
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
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?
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-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.