Dropchat
About Dropchat
Dropchat is a platform for building custom AI chatbots using your own data sources. With a no-code interface, businesses can easily create chatbots that interact with customers and provide instant responses. Dropchat enhances customer support while ensuring seamless escalation to human agents for complex queries.
Dropchat offers a free plan for basic features and upgraded tiers such as Starter at $24/month and Growth at $99/month. Each tier increases chatbot capacity and message limits, providing valuable support options as businesses scale. Users benefit from enhancing their chatbot functionality and support capabilities.
The user interface of Dropchat is designed for easy navigation and efficient chatbot creation. Its intuitive layout allows users to customize their chatbots quickly, engage seamlessly with their audience, and utilize unique features, ensuring an optimal browsing experience without overwhelming users with complexity.
How Dropchat works
Users begin by signing up for Dropchat's free trial, where no prior registration is needed. They can add data sources like PDFs and web links to build their customized chatbot. The platform employs AI to engage with customers, responding to specific queries while allowing for easy escalation to human agents or email.
Key Features for Dropchat
Custom Chatbot Creation
Dropchat's custom chatbot creation is a dynamic feature that empowers users to build tailored AI chatbots. By utilizing personal data sources like PDFs and websites, Dropchat ensures the chatbot provides accurate, relevant answers, significantly enhancing user interaction and satisfaction.
Seamless Escalation Options
Dropchat features seamless escalation options, allowing users to easily connect with human agents when complex inquiries arise. This functionality ensures that customers receive the assistance they need promptly, enhancing the overall user experience while maintaining efficiency in support operations.
Retrieval Augmented Generation (RAG)
Dropchat leverages Retrieval Augmented Generation (RAG) technology to connect AI models with external data sources. This innovative feature improves response accuracy by tapping into relevant, context-specific information, ensuring high-quality interactions between the chatbot and users, thus optimizing customer service.
