BCBuyerCare AI

AI returns agent

Launch a returns AI agent without letting it approve refunds on its own.

BuyerCare AI turns return, exchange, damaged-item, order-status, and policy tickets into governed post-purchase workflows. Start from tags and sample tickets, prove one lane draft-first, and keep money, VIP, fraud, legal, and unclear exceptions human-reviewed.

Request returns-agent audit Shopify returns Validate tags See proof report Pilot timeline
Returns agent Draft-first
IntakeAuto
ExchangeDraft
RefundHold
ProofD30

The first pilot separates what can be safely drafted from what must remain reviewed before any refund, replacement, credit, or exception decision.

Best fitDTC

Brands with visible return, exchange, damaged-item, warranty, order-status, or refund-review support volume.

Start inputTags

Anonymized ticket tags, macros, policy URLs, and rough volume can identify the first returns-agent workflow.

Safe modeDraft

BuyerCare drafts customer replies and internal summaries before any narrow auto-send lane is considered.

Proof gate30

The day-30 report shows drafted, resolved, held, escalated, hours saved, and value protected.

What it handles

Give the returns queue structure before giving AI authority.

  • Return intakeCollect order, item, reason, condition, policy window, and customer preference without approving money movement.
  • Exchange routingDraft exchange options when the issue, item, variant, and policy path are clear enough to preserve revenue.
  • Damaged-item triageRequest photos and proof, summarize evidence, and route replacement or refund decisions to the right owner.

What stays reviewed

The agent should reduce CX work, not quietly leak margin.

  • Refund approvalsRefunds, credits, chargebacks, and high-value concessions stay human-owned unless explicitly approved later.
  • Sensitive ticketsLegal language, fraud signals, VIPs, harassment, unclear identity, and policy exceptions route to review.
  • Policy nuanceDrafts cite approved policy, order, carrier, and product evidence so operators can trust what changed.

Pilot map

Prove one returns-agent lane before expanding automation.

StageBuyer inputAgent modeProof artifact
ValidateTicket tags, macros, policy URLs, sample casesNo production accessWorkflow recommendation
CalibrateApproved rules and never-auto listDraft-firstException register
PilotScoped access or approved exportsDraft, task, hold, and safe-send lanesDay-30 proof report
ExpandOperator-approved thresholdsNarrow automation onlyContinuation decision

Paid pilot

Start once the returns-agent workflow is specific.

The paid pilot should map one queue, one proof target, one exception register, and the cases that never auto-send. Checkout works best after the audit identifies the first lane.

Checkout Opens after fit review

Payment links load here when configured. If the first returns lane is not clear yet, request the audit first.

Request audit

Returns-agent audit

Find the first returns workflow worth piloting.

Share the current support stack, rough ticket volume, and where return or refund work gets stuck. BuyerCare will reply with the first workflow recommendation, proof path, and paid-pilot fit.

Control model

The first version is an operator-controlled agent.

BuyerCare can work from exports before production access, uses scoped platform access only after paid-pilot approval, and keeps refund authority separate from reply drafting until the buyer explicitly approves a narrower lane.