Industries
E-commerce & marketplaces
Keep fake sellers and cloned storefronts out.
$48B
global e-commerce losses to online payment fraud in 2025Source: Juniper Research
- Seller onboarding liveness
- Document forensics on business credentials
- Image forensics on listings
Where marketplaces get hit
Synthetic seller identities, AI-generated product imagery for goods that don't exist, forged business documents, and cloned storefronts harvesting buyers.
How ScamAI helps
Seller onboarding liveness, document verification on business credentials, and image forensics on listings — trust signals for every side of the marketplace.
Trust for both sides
Buyers meet real sellers and genuine listings; sellers reach a marketplace that isn't overrun by clones and fakes — protection for the whole transaction, not just one side of it.
Seller verification is law now, not best practice
In the U.S., the INFORM Consumers Act requires marketplaces to collect and verify bank, tax, and contact details from high-volume third-party sellers; in the EU, the Digital Services Act's traceability-of-traders provisions require verifying trader information before they can sell. Both regimes assume the documents sellers submit are checkable — exactly what generative AI undermines, now that a fraud ring can fabricate a matching set of registration, ID, and bank documents. Eva V1.6 runs forensics on seller credentials and deepfake screening on verification selfies, so what you are legally required to verify is tested for synthesis, not just collected.
Detection across the marketplace lifecycle
Marketplace fraud is not a single event, so detection is not a single checkpoint: deepfake and document screening at seller onboarding, image forensics on listing photos to catch goods that do not exist, and re-verification at payout redirection or credential recovery to close the account-takeover path. In disputes, media checks on buyer-submitted damage and return photos separate genuine claims from refund abuse. Each is one REST API call — and with Juniper Research putting 2025 e-commerce losses to online payment fraud at $48B, prevention compounds at these moments.
/ROI
What this is worth
- Loss avoidance: as an illustration, at 50,000 checks a month, catching just 0.2% more synthetic media is ~100 frauds stopped — at a $10k average loss, that's ~$1M a month that never walks out the door.
- Review time: evidence-backed results cut manual review from minutes to seconds, so analysts handle the small flagged fraction instead of screening everything.
- Compliance posture: explainable, auditable results give regulators and auditors evidence, not a black-box score.
Common questions
How do online marketplaces detect fake sellers?
Layered verification at onboarding. The applicant's selfie is screened for deepfakes and AI-generated faces, their identity and business documents get forensic analysis for forgery and generation, and the results feed the marketplace's risk decision before selling privileges are granted. It matters because fraud rings submit internally consistent document sets that pass visual review. Detection models like Eva V1.6 examine the media itself (generation artifacts, tampering traces, template reuse), so a fabricated seller package gets caught even when the documents agree.
Can AI-generated product images be detected on listings?
Yes. Image forensics can identify product photos AI-generated rather than captured, plus composites and manipulations. That signal matters for two abuse patterns: listings for goods that do not exist, where the storefront is synthetic and buyers pay for nothing, and counterfeit listings dressed up with generated imagery to dodge duplicate-image matching against the original store. Marketplaces score listing images through the REST API at publish time, gating high-risk listings for review before they go live, not after buyer complaints arrive.
What does the INFORM Consumers Act require marketplaces to verify?
The INFORM Consumers Act requires marketplaces to collect and verify information from high-volume third-party sellers (bank account details, government-issued ID or tax documentation, and contact information) and to suspend noncompliant sellers. It also mandates disclosure of seller information to buyers past thresholds. The catch: collection is easy, and verification is where fraud lives; AI-generated IDs and fabricated business documents satisfy a checkbox process. Document forensics and deepfake screening make the verification step substantive, which is what the statute asks for.
See ScamAI on E-commerce & marketplaces
15 minutes, on your own media. Pick a slot and leave with a result.