Smarter Feedback Collection for Amazon Teams
Turn Feedback Collection into a background job. Arahi AI agents use Amazon to execute on your behalf, 24/7.
247 surveys sent · 3 detractors routed. Sample reply trigger:
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Link Your Amazon Store
Connect Amazon in one click. Arahi AI imports your products, orders, and customer data automatically.
Define E-Commerce Workflows
Set up automation for orders, abandoned carts, inventory alerts, and customer communication in Amazon.
Grow Revenue on Autopilot
AI handles the operational work inside Amazon while you focus on strategy. Track recovered revenue and cost savings live.
Saw your 4/10 — what would have made it a 9?
ChatGPT flagged your NPS reply for follow-up. You said the onboarding video was hard to follow — that's on us, and I'd love 10 minutes to walk you through the parts that bit.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to alex@kibblecorp.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send NPS surveys via @Amazon 30 days post-launch, route detractors to Customer S
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Yes. You can run feedback collection workflows in test mode using sample Amazon data before activating on live records. This lets you verify every feedback collection rule works correctly with your Amazon setup before processing real data.
Yes. The feedback collection agent connected to Amazon simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single feedback collection workflow can pull data from Amazon, process it, and push results to multiple destinations.
Arahi AI connects natively with Amazon to handle the full feedback collection workflow. The AI agent monitors Amazon events, processes feedback collection tasks automatically, and writes results back to Amazon — no copy-pasting or tab-switching required.
All data exchanged between Amazon and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Amazon access, never store raw credentials, and maintain full audit logs of every feedback collection action.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at amazon-specific lifecycle milestones. Timing is calibrated for highest response rate, not arbitrary monthly blasts.
Yes. The agent reads open-text feedback, identifies themes, scores sentiment, and surfaces operational issues that need attention — turning unstructured feedback into prioritized improvement workstreams for your amazon team.
When the AI hits an edge case during feedback collection processing in Amazon, it escalates to your team with full context — the Amazon record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
Yes. You define exactly which Amazon events start feedback collection workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so feedback collection actions only fire when your specific criteria are met in Amazon.
Yes. You can create parallel feedback collection workflows that respond to different Amazon events or conditions. For example, one feedback collection flow for new Amazon records and another for updated ones — each with independent rules and actions.
The feedback collection agent scales automatically as your Amazon activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from Amazon, the AI handles the volume without slowdowns or additional configuration.
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