Quicktext offers Velma, an AI-powered hotel chatbot that automates customer interactions and processes 85% of inquiries in 36 languages, significantly increasing direct bookings and generating over $802 million in leads for hotel clients in 2024. By utilizing structured data analysis and predictive modeling, Quicktext enhances operational efficiency and optimizes marketing strategies for the hospitality industry.
Funding
$1.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hotels often struggle to efficiently manage the high volume of customer inquiries across multiple channels, leading to delayed response times, reduced booking conversions, and increased operational costs. Manually handling repetitive questions and providing 24/7 support in multiple languages can be particularly challenging.
Solution
Quicktext offers Velma, an AI-powered virtual assistant designed to automate customer interactions for hotels, enhancing both direct bookings and customer relationship management. Velma uses structured data analysis and predictive modeling to process and respond to approximately 85% of customer inquiries in 36 languages. By providing instant, multilingual support and automating repetitive tasks, Velma enables hotels to improve conversion rates, optimize marketing strategies, and reduce operational costs. The platform collects and structures hotel data, enabling AI-driven interactions and providing data for business intelligence to optimize sales, content, and marketing efforts.
Target Audience
Quicktext primarily targets hotels and hotel groups seeking to automate customer interactions, increase direct bookings, and improve operational efficiency through AI-powered solutions.
Features
- AI-powered chatbot capable of processing 85% of customer requests in 36 languages
- Integration with hotel websites and booking engines to facilitate direct bookings
- Conversation analysis for generating predictive models to optimize website content and marketing campaigns
- Q-Data: Analyzes and structures over 2,300 data points per hotel to improve AI responses and marketing strategies
- Q-Brain+: Combines conversational and generative AI layers for benchmark AI performance in the hotel industry
- Q-Services: Anonymizes, centralizes, and indexes conversation data to optimize commercial, marketing, and help desk operations
- User-friendly interface with control over AI text responses
- Integration with multiple communication channels, including Booking.com and Expedia