About Quicktext

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> <revenue_model> In 2024, Velma generated over $802 million in leads for hotel clients' websites. </revenue_model> ```

What does Quicktext do?

Where is Quicktext located?

Quicktext is based in Paris, France.

When was Quicktext founded?

Quicktext was founded in 2017.

How much funding has Quicktext raised?

Quicktext has raised 1700000.

Location

Paris, France

Founded

2017

Funding

1700000

Employees

125 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Quicktext

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

quicktext.im 10K+

Crunchbase

Founded 2017 – Paris, France

Funding

Estimated Funding

$1M+

Team (100+)

No team information available.

Company Description

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.

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

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.

Revenue Model

In 2024, Velma generated over $802 million in leads for hotel clients' websites.