Draft On-Brand Replies to New Amazon Reviews With AI, Delivered to Slack
Each new Amazon review is summarised, its sentiment scored, and a ready-to-send reply is drafted by AI and dropped into Slack for a human to approve — turning review management from a chore into a one-click task.
- 1
Step 1 — Watch for new reviews
Add a trigger for Amazon — its API where available, otherwise an
RSS Feed Triggeror a scheduledHTTP Requestthat fetches the latest reviews and de-duplicates by review ID. - 2
Step 2 — Score the sentiment
Add an
OpenAInode asking for a one-word sentiment (positive/neutral/negative) and a one-line summary of the review. Store both on the item. - 3
Step 3 — Draft the reply
Add a second
OpenAInode with a prompt that includes your brand voice, the review text and the sentiment, and asks for a concise, empathetic reply that never over-promises. - 4
Step 4 — Send the draft to Slack
Add a
Slacknode. SetResourcetoMessageandOperationtoSend. Choose the channel (e.g.#alerts) and drop the review, its sentiment and the AI draft reply into the message text using expressions like{{ $json.summary }}. Connect your Slack OAuth or bot-token credential.
Frequently asked questions
Does it auto-post replies?
No — by design a human approves. Drafts land in Slack; you paste (or, if you want, add a final step that posts to Amazon) after a quick review.
Can I tune the tone?
Yes. The tone lives entirely in the Step 3 prompt. Add examples of your best past replies to teach the model your voice.
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