Counterfeit Product Detection

Counterfeit products can harm your brand value, negatively affecting both your sales and customer trust. With our advanced algorithms and AI technology, we meticulously analyze the authenticity of your products using multiple data points. Our methods include price deviation analysis, image tracking and comparison, extracting frames from video content for inspection, evaluating customer reviews using natural language processing (NLP), analyzing customer-uploaded images, and reviewing product descriptions and identifiers in detail to detect potentially counterfeit items.

Considering the manipulable nature of data, our system is continuously updated and improved. This ensures that your brand’s reputation is protected while strengthening consumer trust. Our comprehensive approach not only identifies suspicious products but also helps you detect counterfeiting trends in the market before they escalate.

Data Collection:

The first step is to collect extensive data on product prices from various online platforms and sales sites. This includes both current and historical pricing information.

Creating Price Charts:

The collected data is analyzed to create comprehensive price charts for each product. These charts show the price changes of the product over time.

Deviation Detection:

The product's price chart is compared with the market prices of similar products. Abnormal deviations are evaluated as indicators of potential counterfeit products.

Detailed Examination:

Products flagged as suspicious undergo more detailed examinations for signs of counterfeiting. This examination may include visual verification, seller evaluation, and analysis of product identifiers.

Counterfeit Product Detection

Data Collection:

Creating Price Charts:

Deviation Detection:

Detailed Examination:

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