ReturnSift

Return scoring: triage every request in seconds

Emergency rooms do not treat patients in arrival order. They triage. Returns desks mostly do the opposite: every request waits in the same queue and gets the same scrutiny, or none at all.

Return scoring brings triage to the queue. Each request arrives with a score built from the customer's history: keep rate, return timing, categories, condition reports, prior warnings. High scores approve instantly. Low scores route to a human with the evidence attached.

The effect on the queue is dramatic. Most returns are honest and stop consuming agent time entirely. The small slice that needs judgment gets it, with context that used to take twenty minutes of tab-switching to assemble.

Triage also makes enforcement consistent. The score applies the same policy to every customer, so two agents facing the same pattern reach the same decision. Consistency is what makes warnings and denials defensible.

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Frequently asked questions

What goes into a return score?

The customer's return history: keep rate, how quickly returns follow delivery, the categories returned, condition reports from inspection, and any prior warnings. Combined, those signals estimate whether a new request is routine or deserves a human look before approval.

Why triage returns instead of reviewing everything?

Because most returns are honest, and a single queue treats them all as suspects. Triage approves the routine majority instantly, which customers experience as good service, and concentrates human judgment on the small slice of requests where the evidence actually needs reading.

Does scoring make decisions more consistent?

Yes, that is one of its main effects. The same pattern produces the same outcome regardless of which agent is on shift, and consistency is what makes warnings and denials defensible when a customer disputes them.