Eligibility checks
Confirm whether the item is within the return window, belongs to an eligible category, and meets your condition, final sale, international, or marketplace rules.
Returns automation
Automate returns without turning policy into a maze
Valiopt helps customers understand eligibility, collect the right details, generate labels, initiate approved refunds, and move returns forward using your order data, policy rules, return tools, and escalation paths.
Policy-aware
Eligibility checks reflect item type, timing, condition, region, and customer context.
Action-ready
The assistant can generate labels, submit returns, initiate refunds, or request approval instead of only linking to a help article.
Escalation-safe
Exceptions, fraud signals, damaged goods, and VIP cases can route to a human with context.
Workflow coverage
What a useful returns assistant should handle
Returns are rarely just a yes-or-no FAQ. The automation needs to understand the order, apply policy, and avoid making promises your operations team cannot honor.
Return path selection
Decide whether the customer should receive a label, use Loop Returns, bring an item in store, contact a specialist, or wait for manual review.
Status follow-up
Answer where the return stands after shipment, inspection, refund approval, exchange creation, or warehouse processing.
Evidence collection
Ask for photos, order details, product condition, serial numbers, or package information only when those details are needed.
Refund expectations
Explain timing, refund method, fees, store credit, partial refunds, and deductions in language customers can actually understand.
Exception routing
Escalate cases involving damaged items, missing packages, high-value orders, repeat abuse, policy overrides, or ambiguous customer claims.
Implementation
How Valiopt builds the return workflow
Map the policy tree
We turn return rules, edge cases, and internal judgment calls into a workflow the assistant can follow without flattening nuance.
Connect return and order systems
The assistant can use Shopify order history, fulfillment status, customer records, Loop Returns data, and helpdesk context before responding or acting.
Tune from real conversations
After launch, we review failed intents, escalations, customer frustration, and agent corrections to improve the workflow.
Guardrails
Keep sensitive return decisions under control
The goal is not to approve every return automatically. Any action can require human approval through Slack, Linear, email, or the tool your team already uses.
Final sale and hygiene-sensitive items
High-value or fraud-risk orders
Damaged, defective, or missing items
International duties, taxes, and shipping fees
Repeated policy exceptions
VIP or wholesale customer handling
Related
Want to automate returns without losing policy control?
Send us your current return policy, top exception types, and return platform. We can map what should be automated and what should stay human-reviewed.