Data sources
Train the AI with data about your store, products, services to provide better and more accurate responses
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Train the AI with data about your store, products, services to provide better and more accurate responses
Last updated
Was this helpful?
Who can use this feature?
This feature is available for all users
Our AI assistant is still in beta version. If you have any concerns or feedbacks, please contact us to share and help us improve Chatty.
We've trained AI on your own data. By adding your own data sources, you can train AI assistant about your specific products, services, and business policies.
This helps the AI give more accurate and personalized responses to your customers.
Be specific: Provide clear, detailed information
Use real examples: Include actual customer scenarios as example
Update regularly: Keep information current
Monitor performance: Regularly check AI responses and review customer interactions with AI
Go to AI assistant tab
Add data sources
FAQs: By turning on FAQs, all questions and answers in your FAQs will be imported to data sources and used as AI training data
Products: By turning on Products, all product information on your store will be imported to data sources and used as AI training data
Currently, Chatty only works with published products that are in stock. Product subscriptions are not supported at this time.
Question: Add more questions and answers about your store to train AI assistant. You add single question or multiple questions at once.
After building your data source, you can go to Test to test your AI assistant.
If you don't enable AI, you can still test AI assistant with data source you added.
You can edit or delete it from data source.
Your existing FAQ content is used to AI training, helping the assistant answer common customer questions accurately.
Product details from your store catalog are used to train the AI to answer specific product-related questions.
Note: Your product information will be updated daily at 12:00 am PST.
AI Assistant can answer questions about:
Specific product details (inventory, price, descriptions)
Product variants (colors, sizes, styles)
Price ranges and comparisons
Alternative product suggestions
Product features and specifications
Limitations:
Cannot identify best-sellers without collection information
Limited ability to suggest seasonal items unless specified in collections
Cannot determine highly-rated items without specific collection data
Can only suggest complementary products if mentioned in product descriptions
For example:
Best practices for product information
Product description
Include detailed specifications
Mention compatible or complementary products
List key features and benefits
Variant organization
Use consistent naming for variants
Keep variant options updated
Provide clear variant descriptions
Price information
Keep pricing updated
Include any volume discounts
Maintain consistent price formats
This is additional information you want the AI to learn, beyond FAQs and product details.
Best practices for question
Add more questions when you need AI to answer frequently asked questions that aren't covered in your FAQs section. Focus on adding unique questions rather than multiple variations of the same topic.
For example:
Add one clear question about your return policy timeframe
Add one question about gift wrapping service
Adding multiple similar questions about returns
Creating variations of the same question
Good practice:
Avoid: