Amazon Analytics (AI customer assistant)

AI customer assistant

Amazon Analytics is a conversational interface for analyzing buyer and order data. Ask questions in plain English and get answers without writing SQL. It’s not a chatbot for your customers (that’s Hilal Chatbot, a separate product) — it’s a tool for you to interrogate your buyer dataset.

In this guide:

  • Access Amazon Analytics
  • Ask a question about your buyers
  • Copy and save responses
  • Understand what data is available

Step 1: Access Amazon Analytics

Go to Customer Hub → AI Assistant in the sidebar. The page displays as “Amazon Analytics” at the top.

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Amazon Analytics (labeled “AI Assistant” in the sidebar) is accessed via /customer-hub/ai-assistant/db. It is not linked anywhere else in the navigation today.

Step 2: Ask a question

Type a question about your buyer and order data. Amazon Analytics translates your question into a query and shows results. Examples:

  • “How many repeat buyers do I have?”
  • “What’s my refund rate by SKU?”
  • “Show me buyers who’ve spent more than $500 lifetime.”
  • “Which marketplace has my highest review rating?”

Results display as numbers, tables, or summaries depending on your question.

Step 3: Copy responses

For each answer, you can copy the underlying SQL query to your clipboard to use in other tools or for reference.

Step 4: Understand the data

Amazon Analytics queries your NL2SQL database backend to answer questions about your business data.

What data is available

Amazon Analytics can query data available in your NL2SQL database:

  • Orders and order line items.
  • Refunds and returns.
  • Reviews and ratings.
  • Buyer messages.
  • Marketplace and product dimensions.
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Data access requires the customer_reply_ai feature entitlement. The scope of available data depends on your backend database configuration.

Limitations

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Some requested features like dashboard pinning and automated chart rendering are not yet available. Contact support for feature requests.

Troubleshooting

  • “I can’t answer that.” Your question may be outside the available data scope, or Amazon Analytics didn’t understand. Try rephrasing more concretely (“how many” / “what percentage” / “show me a list”).
  • Answer seems wrong. Try asking it to show the underlying query. If the query is correct but the data seems unexpected, there may be a data quality issue.

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