AI image tools are changing after-sales evidence. In the past, a photo was often treated as strong proof. Today, a clean product photo can be turned into a realistic damaged or moldy image in minutes.
For sellers, this means refund disputes can no longer rely only on buyer-submitted images. The warehouse needs its own objective evidence showing the product condition before shipment.
Common signs of AI-generated defect images include inconsistent lighting, repeated textures, unnatural cracks, abnormal proportions and evidence that cannot be supported by continuous multi-angle video.
When a suspicious refund request appears, customer service should ask for continuous video evidence, product-and-label same-frame images and close-ups with time information. Many fabricated claims cannot provide a consistent evidence set.
Packing monitoring gives sellers a stronger baseline. If the shipping video clearly records the product, accessories, label, parcel and sealing action, the seller can compare the buyer claim with the original shipping condition.
Platform AI detection can help, but sellers should not rely only on platform review. A complete packing evidence chain remains the seller's most practical defense against malicious refund claims and AI-generated fake defects.