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Seller Feedback Centre

A community-driven intelligence platform where e-commerce sellers share customer experiences across any online marketplace — building transparency, tracking behaviour patterns, and creating a safer ecosystem for every seller.

Share Your ExperienceLearn How It Works
No login requiredFully anonymousPowered by Scam.SG
Seller Feedback Centre — Community-driven customer intelligence platform

Feedback Recorded

Cross-seller intelligence updated

Pattern Detected

3 sellers flagged

14+

Platforms Supported

8

Issue Categories

100%

Fully Anonymous

<2 min

Submission Time

How It Works

1

Share Your Experience

Fill in the platform details, the customer's information, and describe the issue. Add screenshots or evidence if you have them. No login or personal data required.

2

Automated Analysis

Our system verifies the submission, cross-references existing reports, and enriches the data with pattern-matching intelligence — all within seconds.

3

Cross-Seller Intelligence

Your feedback is aggregated with reports from other sellers to build customer behaviour patterns — helping the entire seller community make informed decisions.

Step 1

Share Your Experience

Fill in the platform details, the customer's information, and describe the issue. Add screenshots or evidence if you have them. No login or personal data required.

Share Your Experience

14+ Platforms Supported

Shopee
Lazada
Amazon
Shopify
TikTok Shop
Facebook Marketplace
eBay
Etsy
Zalora
Alibaba
AliExpress
Qoo10
Tokopedia
WooCommerce
Comprehensive Coverage

What Can You Report?

Share your experience across a wide range of common customer issues on any online marketplace or e-commerce platform.

Chargeback or payment dispute

Buyer disputed a legitimate charge with their bank or payment provider.

Return / refund fraud

Buyer abused the return/refund process (e.g. false claims, item swapping).

Falsely claimed wrong or counterfeit item

Buyer falsely claimed the item received was counterfeit or incorrect.

Multiple accounts fraud

Buyer created multiple accounts to exploit promos or evade penalties.

False "item not received" claim

Buyer falsely claimed an order was "Item Not Received" (INR).

Promo or voucher abuse

Buyer misused promo codes or vouchers outside intended terms.

Plus an "Other" option for any issue not listed above.

Report an IssueSee How It Works
Built for Sellers

Why Share Your Experience?

Every piece of feedback strengthens the community and makes cross-seller intelligence more accurate for everyone.

Fully Anonymous

No seller account is needed. Your identity is never stored or shared.

Pattern-Aware Intelligence

Reports aren't just one-off flags. Frequency, issue type, and dispute outcomes are all factored into buyer behaviour profiles.

Instantly Recorded

Feedback is live as soon as it's submitted and immediately available for aggregation — no manual review delay.

Dispute Outcomes

Include the platform's own dispute outcome (e.g. resolved in seller's favour) to add context and credibility to your feedback.

Share Your ExperienceLearn More

Disclaimer

Scam.SG cannot verify the accuracy of community-submitted feedback. Reports are used to identify patterns across marketplaces and help sellers make informed decisions.

Been scammed yourself?

Report a scam to help protect other Singaporeans.

Report a Scam

Help Build a Safer Marketplace

Every piece of feedback takes less than 2 minutes. Your anonymity is guaranteed, and your contribution directly improves customer behaviour intelligence for all sellers.

Share Your Experience

Questions? Contact [email protected]


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About Scam.SG

Scam.SG is Singapore's homegrown business trust and anti-scam platform, with authenticity profiles on over 612,000 Singapore-registered businesses. We verify businesses, educate the public on how scams operate, and detect and disrupt scam activity, helping consumers and business associates reduce the risk of falling into a scam. Our analysis uses proprietary algorithms to assess and score Singapore business entities based on publicly available data signals. A lower score does not mean a business is a scam. Visit scam.sg/terminology for definitions of all platform terms.

Disclaimer

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