Image evidence review
Analyze uploaded photos to identify visible damage, defects, missing components, packaging issues, wear patterns, or unclear evidence that needs another image.
Warranty claims automation
Automate warranty claims with image analysis and order-aware replacement logic
Valiopt helps customers submit warranty claims by analyzing uploaded images, detecting visible damage or defects, checking the original order, and choosing the right resolution path based on your warranty rules.
Image-aware
The assistant can inspect customer-submitted photos for visible damage, missing parts, product condition, and claim evidence.
Order-aware
Warranty decisions can use the original Shopify order, SKU, purchase date, fulfillment history, customer record, and prior support context.
Resolution-ready
Approved paths can trigger replacements, collect missing evidence, request human approval, or escalate with a clear claim summary.
Workflow coverage
What a useful warranty workflow should handle
Warranty claims need more than a form. The assistant has to understand what the customer bought, what they are showing in the image, what the policy allows, and what operational action should happen next.
Original order lookup
Check the purchase date, SKU, variant, fulfillment status, prior replacements, customer history, and whether the item is inside the warranty window.
Claim classification
Separate shipping damage, manufacturing defects, missing parts, normal wear, user damage, installation issues, and ambiguous claims.
Replacement logic
Choose whether to send the same SKU, suggest an equivalent replacement, request a return, issue a part replacement, or route for approval.
Evidence collection
Ask for serial numbers, additional angles, order confirmation, installation details, or usage context only when the claim actually needs them.
Customer-safe explanation
Explain the outcome clearly, including what was reviewed, what the policy allows, and what happens next.
Implementation
How Valiopt builds warranty claim automation
Model the warranty policy
We convert coverage windows, excluded damage types, required evidence, replacement rules, and approval thresholds into explicit workflow logic.
Connect claims to operations
The assistant can use Shopify, helpdesk history, fulfillment systems, inventory availability, and internal tools before deciding the next step.
Tune image and claim review
We review where image analysis is confident, where evidence is unclear, and where human approval should be required before resolution.
Guardrails
Use automation where the evidence is clear
Image analysis should support warranty decisions, not overrule your policy. Any replacement, refund, exception, or ambiguous damage claim can require human approval.
Unclear, low-quality, or missing photos
High-value replacements
Repeated claims from the same customer
User damage versus manufacturing defect
Safety-sensitive product failures
Claims outside the warranty window
Related
Want warranty claims resolved without endless back-and-forth?
Send us your warranty policy, evidence requirements, and a few anonymized claim examples. We can map the image review and replacement logic.