AI and Big Data solutions for hotels

More Revenue, More productivity, More satisfaction in hospitality. 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. • Optimize 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. Velma is based on Q-Brain+ and Q-Data (see below)

Q-Data Q-Data allows you to merge, structure, and distribute 1700 data points 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.). All the other systems in the world are limited to a maximum of 300 data points.

Q-Sales allows 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,

Q-SEO Q-SEO anonymises and records conversation data in order to obtain traveler profiles and anticipate their needs. This information combined to Q-Data are used in real-time to improve the referencing of the website

Q-Brain+ Q-Brain+ is the first and only AI specialized 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.

Quicktext, a distinguished AI and Big Data specialist in the hospitality sector has formed a strategic partnership with H-Hotels.com, a well-established German hotel chain with over 50 years of experience. H-Hotels.com has seamlessly integrated Quicktext’s Velma virtual assistant, providing 24/7 multilingual booking services and instant responses, thereby enhancing guest experiences through real-time communication. The Results In the current year, Velma has generated over 30,000 conversations, produced more than 2,000 leads, and facilitated over 2.6 million potential booking requests. Velma addressed inquiries across 1,600+ data points, covering topics like pool temperatures, babysitter fees, parking information, and electric car charging stations. Over 2,000 leads, whether converted automatically or with staff assistance, generated revenue exceeding 65,000 euros. The consolidation of multichannel conversations into a single platform has resulted in approximately 85% of queries being automatically resolved.

https://www.quicktext.im/