What is Quicktext?

Quicktext provides Velma, an advanced AI-powered virtual assistant and chatbot specifically engineered for the hospitality sector. Its core mission is to assist hotels in boosting direct sales, augmenting customer relationship management (CRM) capabilities, and elevating overall guest satisfaction by automating responses and delivering instantaneous support. Velma capably manages a substantial volume of customer inquiries across 37 languages, markedly improving conversion rates and team productivity while concurrently diminishing operational costs.

By capitalizing on artificial intelligence and big data, Quicktext delivers a holistic solution that meticulously structures and centralizes extensive hotel-specific data, encompassing over 2600 data points per establishment. This rich dataset empowers Q-Brain+, Quicktext's proprietary AI engine, which integrates conversational and generative AI to facilitate precise and contextually aware interactions. Furthermore, the platform employs conversation analysis to develop predictive models, empowering hotels to dynamically refine their website content, marketing strategies, and communication efforts for enhanced performance and deeper guest engagement.

Features

Velma AI Chatbot: Specialized 4th generation AI chatbot for the hotel industry, supporting 37 languages and powered by Q-Brain+.
Q-Brain+: Core AI engine with conversational and generative AI layers, analyzing over 2600 data points per hotel.
Q-Data: Manages structured hotel data across more than 2600 data points.
Q-Sales: Facilitates management of leads and direct reservations.
Q-Connect: Centralized connectivity management with PMS, CRM, Upsell tools, and Task systems.
Q-Hub: Manages instant messaging across Live Chat, Facebook, Instagram, WhatsApp, Line, SMS, and Booking.com.
Q-Task: Offers tools for task and resource management within the hotel.
Q-Automate: Automates pre-stay, in-stay, and post-stay guest messages via SMS & WhatsApp.
Q-Mail: Automates marketing communications, follow-ups, and guest lifecycle messages via email.
Q-SEO: Enhances search engine optimization through AI-powered automated FAQ generation using big data insights.
Q-BI: Business Intelligence API for advanced data analysis and reporting.
Q-AD: Optimizes retargeting advertising campaigns based on guest data.

Use Cases

Increasing direct hotel bookings through website interaction.
Automating responses to common guest inquiries in 37 languages, 24/7.
Generating qualified leads for hotel sales and events teams.
Optimizing hotel website content and marketing campaigns based on guest interaction data.
Reducing operational costs by automating repetitive customer service tasks.
Improving hotel SEO with dynamically generated, data-driven FAQs.
Managing guest communication centrally across multiple channels (Live Chat, WhatsApp, Facebook Messenger).
Automating pre-stay, in-stay, and post-stay guest communication to enhance guest experience.

FAQs

How much does Quicktext cost?

Quicktext offers a Premium plan starting from $299 per month, with pricing based on the number of rooms. The platform aims to increase revenue and productivity, suggesting the value it provides often outweighs its cost.
Why choose Quicktext for my hotel?

Quicktext harnesses AI and big data to structure hotel data, automate customer interactions, optimize sales and marketing, and provide business intelligence, helping hotels increase revenue, productivity, and guest satisfaction.
Can Velma integrate with existing hotel systems?

Yes, Velma, Quicktext's AI, can integrate with Property Management Systems (PMS), CRM, and other hotel systems through Q-Connect for centralized management of connectivity.
How does Velma help increase hotel revenue?

Velma, the AI hotel chatbot, generates direct bookings and qualified leads for sales teams. It has been reported to generate significant amounts in leads for its hotel customers.
What is the success rate of Velma in handling customer requests?

Velma, the AI virtual assistant, successfully processes approximately 85% of customer requests and supports interactions in 37 languages.