Delight your customers with help desk that does the job. Take pressure off of your human support and sales teams with state-of-the-art conversational automation. This platform makes easy to integrate your Woocommerce store with different platforms like messenger, telegram, and even Whatsapp creating a powerful tool for selling and users assistant. It also have the best support team working quickly resolving any issues. The main feature you may like besides a very good visual bot architect are the amount of integrations. NLP as well as messaging platforms. Facebook, Intercom are just one of them. Engage and support your users with smart conversational AI. Design complex conversations and let the AI do the heavy lifting. Engage customers with pro-active communication. Increase sales with Shopify and WooCommerce integrations. Track complete conversation history to fine-tune the bot. The chatbot platform provides everything you need to build great chatbots. Conversational design with Visual Bot Architect is easy as building with LEGO blocks. Start with small skills that do small tasks. Connect these skills into complex bots with events and contexts. Automate your customer support, sell more with pro-active interactions and reduce waiting time. You do not need any programming or chatbot background to start using Visual Bot Architect. Use simple building blocks to create basic bot skills and then combine those skills into conversations with events and contexts. Create omni-channel messenger experience and switch the conversation between channels when it is needed. Facebook Messenger, website chat widget, Telegram, email and Twilio SMS are supported out-of-the-box. Connect third-party NLP services like Dialogflow in a click of a mouse. Instantly build e-commerce chatbots with native Shopify and WooCommerce integrations. Exchange data with CRMs and other business tools through JSON API and use Zapier integration to connect your existing business framework. Connect your favorite NLP service in a couple of mouse clicks and use natural language to trigger your bot skills. Build complex decision-tree based models on top of these skills to help bot users achieve specific goals. Use events and contexts as conversation drivers – exactly like human conversation does.