Retail & Marketplace

Quotes, returns, and orders at the speed of the floor.

Every channel, one queue — moving as fast as the floor demands. We automate order, quote, and return handling so your team works the edge cases, not the volume.

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Common use cases

Where teams in your sector start.

Returns & RMAs

Policy-checked, approved, and routed without the back-and-forth.

Order exceptions

Stockouts, address fails, and fraud holds resolved fast.

Quote & catalogue ops

Pricing and listings kept current across channels.

How STAR applies

Our method, on a retail operation.

SStudy

We map the queue across channels: where orders, returns, and quotes pile up at peak.

TThink

We design what automates against policy and what a person handles, with guardrails.

AAct

We deploy into your commerce and support stack; agents work the volume live.

RRefine

We tune policy and routing through seasonal spikes, so the queue never wins.

Workflow mock

Returns handling, before and after.

Before · manual
Return request arrivessystem
Agent checks policy by handperson
Issues label, updates orderperson
Messages the customerperson
≈ 4 handoffs · slow at peak
Automate
After · agent-run
Agent assesses vs. policyagent
Issues label, messages customeragent
Escalates disputed returnsperson
1 human touch · instant at peak
Start with the study

See what an agent would clear from your floor queue.

The Executive Study maps your channels and shows where automation returns the most — or start with a Discovery Call.

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