Launching Floatbot - Omni-Channel Customer Engagement AI Chatbot Platform
Floatbot is announcing the First ever Omni-Channel AI Chatbot Platform with customer engagement features. Floatbot allows businesses to create chatbot and float in multiple platforms within minutes. Business can interact with their customers using natural language and workflows.
- (1888PressRelease) December 24, 2017 - Within 15 Minutes any business can develop its chatbot. No coding knowledge is required to develop chatbot in floatbot.
Floatbot facilitates business owners with live chat feature as a fall back of chatbot. Along with live chat there are also many features available for customer engagement and support.
Features Include:
• DIY Chatbot with workflow and NLP support:
Floatbot gives you a simple and easy to use Dashboard with the help of which anyone can create a chatbot with required workflows and NLP support.
• Switch to live chat - Chat directly to your customers
On Fallback of the chatbot customers need not to wait for responses. Live chat feature enables any business to have a live chat with their customers.
• Customer engagement
Using Floatbot a business can implement various customer engagement updates such as broadcasts, polls, surveys, videos, images and much more.
• E-Commerce over chat
Any online E-Commerce store can manage its store using a chatbot created In Floatbot. Business can have direct communication in need.
• iBeacon support
It also supports iBeacon, which helps business to engage customers using Beacons.
• Omni-channel
Chatbots developed in Floatbot are truly omni-channel, can be used in website, mobile app, messenger and more.
• Multiple platform Integration.
Various platforms are available for chatbot integration in Floatbot.
• Agent communication and collaboration.
Not only Customer communication, but internal agents can also communicate with each other with the help of Floatbot.
• Integration with custom AI Engine.
Floatbot supports integration with various AI engines, it is not mandatory to set AI rules inside Floatbot.
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