Return Reimbursement Claims with ChatGPT for Amazon Sellers

What they did

Two buyers returned LEGO sets with the minifigures removed. Amazon refunded them in full, marked the returns 'unfulfillable,' and offered the seller $25 on a $60 sale. He gave ChatGPT images of the return labels, screenshots of the original orders and his explanation. ChatGPT matched each return label to the right order, wrote two case submissions, prepared follow-up appeals when Amazon lowballed, and quoted Amazon policy.

How it went

He says these returns went from something he dreaded to 'just another workflow.' The final reimbursement amount isn't stated.

We only report what the source says. Results are self-reported unless noted.

Worth knowing

Amazon doesn't show the original order ID on returns, which is why the label-to-order matching mattered.

Copy-paste prompt

I'm an Amazon FBA seller. Attached: photos of return labels from a removal order, screenshots of the original customer orders, and my notes. Tasks:
1. Match each return label to the correct customer order (explain the match).
2. Write a concise Seller Support case for each requesting reimbursement for a customer return that came back incomplete/damaged, citing the relevant Amazon FBA customer returns policy.
3. Draft a polite follow-up appeal for if Amazon offers less than the item's value.
Only use facts from my attachments.

The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].