Jelibot develops AI-powered chatbots that automate customer service interactions across various industries, including travel, insurance, and banking. By utilizing natural language processing and sentiment analysis, Jelibot enhances customer engagement and operational efficiency while reducing the workload on support staff.
Funding
Funding not disclosed

Founders
Product
Problem
Many businesses struggle to efficiently manage customer service inquiries, leading to increased workloads for support staff and potentially unsatisfactory customer experiences. Traditional customer service methods often lack the ability to provide instant, personalized support across multiple languages and channels.
Solution
Jelibot offers an AI-powered chatbot platform designed to automate and enhance customer service interactions. By leveraging natural language processing (NLP) and sentiment analysis, Jelibot's virtual assistants can understand customer inquiries, provide relevant information, and resolve common issues without human intervention. The platform supports multilingual communication in over 52 languages, enabling businesses to provide consistent support to a global customer base. Jelibot's chatbots can be deployed across various channels, including live chat and Facebook Messenger, to ensure customers receive assistance wherever they are. The platform also offers features such as topic modeling and text generation to improve the quality and relevance of chatbot responses.
Target Audience
Jelibot primarily targets businesses in the travel, insurance, and banking industries seeking to automate customer service, improve customer engagement, and reduce the workload on support staff.
Features
- AI-powered chatbots utilizing natural language processing and sentiment analysis
- Multilingual support for over 52 languages
- Integration with live chat and Facebook Messenger
- Automated FAQs and conversational reservation capabilities
- Sentiment analysis to understand customer emotions and tailor responses
- Topic modeling for discovering abstract topics in customer inquiries
- Text generation for automatically creating natural language responses
- Account management automation for customer service processes
- Order management capabilities through conversational AI
- Analytics dashboard providing conversational data and insights