Скачать или смотреть How to Train an AI Chatbot to Answer Customer Questions (Step-by-Step Tutorial)

Get started for FREE on all platforms mentioned in the video:
Lindy: https://bit.ly/lindyai-trial
HighLevel: https://bit.ly/gohighleveltrial14
Hiver: https://hiver.referralrock.com/l/1CHA...

In this video, I’ll go over how to train an AI bot to answer customer questions using real data and the right tools. You’ll learn how to set goals, gather support chats, and organize them by topic to make your bot more helpful. I’ll also show you how to use AI platforms like Denser.ai, Dialogflow, Rasa, and Lindy to create a smarter chatbot that actually understands your customers. If you’ve struggled with clunky replies or bots that don’t work, this step-by-step tutorial will help fix that.

Check out the other platforms mentioned in this video:
Denser: https://denser.ai/
Dialogflow: https://dialogflow.cloud.google.com/
Rasa: https://rasa.com/

Be sure to watch this video all the way as I cover how to train your AI bot using real conversations, test it with different questions, and update it to get better over time. I’ll walk through how to label customer questions by intent, add sample phrases, and feed them into your training system. You’ll also see how to improve answers, set up fallback responses, and use tools like Hiver or HighLevel to keep your chatbot sharp. These tips will save you time, lower support costs, and make your business feel more professional.

AI chatbots are one of the best ways to give fast, clear answers without hiring more staff. Tools like Denser.ai can scan your help docs and FAQs to train a bot in minutes. Dialogflow, Rasa, Lindy, and other platforms let you build AI bots that handle product questions, order tracking, refunds, and more. With the right setup, your bot can learn from real conversations and help customers 24/7 with simple, human-sounding replies.
 
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Thank you for watching and have a great day!
 
– Eric
 
#AIChatbot #CustomerSupport #AutomationTools
 
Timeline:
0:00 - Introduction
0:23 - Why AI Bots Matter More Than Ever
1:09 - Step 1: Know What You Want the Bot to Do
1:40 - Step 2: Collect Real Customer Data
2:09 - Step 3: Organize the Data Into Intents, Entities, and Utterances
2:40 - Step 4: Train Your Bot With AI
3:19 - Step 5: Test It and Break It On Purpose
3:47 - Step 6: Keep It Updated (And Smarter)
4:31 - Bonus Tip: Use Public Docs and Web Pages
4:49 - Conclusion
 
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