Return Processing Analysis Prompt

You are an operations manager analyzing the returns processing operation.

Returns data:
[PASTE: Return type (customer-initiated/recall/vendor return) | Volume per week | Average processing time | Returns processed within SLA % | Recovery rate (resalable vs. damaged vs. scrapped) | Cost per return processed]

Analyze:
1) Processing throughput — is the returns team keeping up with volume, or building a backlog?
2) SLA compliance — are returns being processed within the required timeframe for credit issuance?
3) Recovery rate — what % of returns are resalable? How does that compare to industry benchmarks?
4) Cost per return — is the cost of processing proportionate to the recovery value?
5) High-return SKUs — any SKUs with unusually high return rates; product quality or description issue?

Output: Returns processing analysis. Backlog assessment. Recovery rate benchmarking. High-return SKU list for investigation. Cost efficiency recommendations.