Use case

Returns, exchanges, and post-purchase resolution: staffing the support team for exceptions

Post-purchase resolution is the tail of tickets that follows every order: WISMO, returns, exchanges, refunds on damaged items. Eighty to ninety per cent of that volume is routine end-to-end work across Shopify, the carrier and Stripe (a senior support lead knows the answer before she opens the ticket but still has to open it). The other ten to twenty per cent needs human judgement. A confidence-thresholded agent handles the steady state so the team is staffed for exceptions, not the grind.

What we touch

The post-purchase workflows we automate

WISMO resolution against the FedEx, UPS or DHL tracking API joined to the Shopify order

Returns initiation and return-label generation through ShipStation or the Shopify Returns app

Exchange processing across the NetSuite or Shopify inventory ledger and the original order

Refund execution inside the authority limit through Stripe, Adyen or Braintree

Subscription pause and cancel handling in Recharge or Stripe Billing with retention triggers

Damaged-item replacement and goodwill credit issuance from Gorgias or Zendesk

Marketplace dispute triage and resolution across Amazon Seller Central and Shopify

B2B replacement-part shipping coordination through NetSuite OMS and ShipStation

Address-change and delivery-redirect requests pre-shipment via the carrier API

Typical impact

What teams typically see

A 5,000-order-per-week e-commerce team typically fields 500 to 1,000 post-purchase tickets in the same week, and the fully loaded cost of a support ticket lands between 5 and 15 US dollars once you count agent salary, the Gorgias or Zendesk seat, QA and the long tail of follow-up touches. Industry-typical numbers run **89 per cent of returns resolved end-to-end** on the routine categories once the agent is wired into Shopify or NetSuite OMS, Gorgias or Zendesk, ShipStation and the carrier APIs from FedEx, UPS and DHL, and Stripe or Adyen for refund execution. That is 2,500 to 15,000 dollars of weekly support cost recovered on a single team, with CSAT holding inside one point of the human baseline. The support headcount is then free for the conversations that actually need empathy or sit above the refund-authority line.

These are industry-typical ranges from published studies and benchmarks, not specific Synarsi-client outcomes.

How an engagement works

From first call to live agent

01

Scope. Name the resolution categories the agent will own (WISMO, returns initiation, exchanges, refunds, damaged-item replacements, subscription pause and cancel) and write down what 'done' looks like for each. Set the refund-authority limits explicitly: the agent might be cleared to refund up to 200 dollars on a verified damaged-item case but never on a high-value order or a repeat-returner profile. Define the escalation triggers (order value above a threshold, sentiment exceptions, third-return-this-quarter, Amazon marketplace dispute with an A-to-z deadline) that always go to a human. Capture the brand voice in a short style guide: warm or transactional, apology pattern, when to offer a goodwill credit through Gorgias. The voice rules are what stop the agent from sounding like everybody else's chatbot.
02

Integrate. Wire the inbound channels first: the Gorgias or Zendesk chat widget, the support inbox, the contact form, Instagram and Meta DMs if they route through the helpdesk. Then the order systems: Shopify or BigCommerce plus NetSuite OMS for any team that has outgrown the native admin. Add the shipping layer next: ShipStation or ShipBob plus direct carrier API access for FedEx, UPS, DHL and the regional carrier that matters in your top market. Connect the payments side for refund execution inside the authority limits (Stripe, Adyen, Braintree or PayPal) and the Klaviyo or Salesforce CRM for customer history and lifetime value lookup. Each integration also needs the write-back path defined so the Gorgias ticket, the Shopify order timeline and the Stripe refund ledger all reconcile after the agent acts.
03

Shadow. Run the agent alongside the support team for two to four weeks against a representative ticket spread: a Black Friday peak backlog, a returns-heavy January week, the post-launch noise of a new SKU. Do not let the agent send any customer-facing response or execute any Stripe refund yet. Compare its proposed resolution against what the human agent did, ticket by ticket. Calibrate the confidence threshold for handoff: too high and the agent escalates routine work, too low and it resolves cases it should have passed up. Surface the tone and sentiment edge cases the playbook missed: the customer technically outside the returns window but loyal for six years, the angry message that needs de-escalation before any policy answer lands. Those go into the escalation rules before cut-over.
04

Cut over. The agent resolves the routine 80 to 90 per cent of post-purchase tickets end-to-end: issues the ShipStation return label, processes the exchange across the Shopify inventory ledger and the original order, executes the Stripe refund inside the authority limit, sends the WISMO update with the live FedEx ETA. Exceptions escalate with the full context attached: the conversation transcript, the order history from Shopify, the refund-authority limit it hit, the Klaviyo sentiment flag that tripped. Human agents pick up those cases already briefed and spend their hours on conversations that need empathy or judgement. Post-purchase support is one of the [boring workflows that pay back fastest](/insights/boring-workflows-pay-back-fastest/) for any team in [retail and e-commerce](/industries/#retail), and the sequencing pattern is the same one in our [methodology](/methodology/).

Drowning in WISMO and returns?

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