An AI chatbot trained on your website.
Key Details of Automatic Chat
- Categories: #Speech generator | #Developer tools | #Productivity
- This tool is verified
- August 9, 2023
- Freemium
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About the application Automatic Chat
Automatic Chat is a powerful AI chatbot platform that is trained on your website. It is designed to save precious time by answering repetitive questions, allowing businesses to focus on more complex tasks. The platform is trusted by over 1,400 businesses worldwide and has handled countless conversations, serving numerous messages and saving countless hours.
Background and Development
Automatic Chat was developed by a dedicated team with a vision to revolutionize customer service. The platform was designed to handle high volumes of messages, as evidenced by its successful handling of over 32,000+ messages during the launch of a chat-based adventure game for a new website.
Core Features and Capabilities
The platform offers a range of features including the ability to train the chatbot on various sources such as websites, PDFs, Google Docs, and more. It provides robust analytics and reporting tools, customizable chatbot design, conversation logs, multilingual support, and industry-leading data privacy and security policies.
User Experience
Users have praised Automatic Chat for its ease of use, quick setup, and supportive team. The platform is fully customizable, allowing businesses to personalize the chatbot with their own branding, colors, and design elements.
Applications and Use Cases
Automatic Chat is versatile and can be used across various sectors. It has been particularly beneficial in customer service, where it has revolutionized the way businesses handle customer inquiries. The AI chatbot handles inquiries swiftly and accurately, freeing up teams to focus on other tasks.
Impact and Future Outlook
Automatic Chat has had a significant impact on the businesses that use it, with many reporting improved efficiency in their customer service. The platform continues to evolve, with future developments likely to be influenced by user feedback and technological advancements.
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