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[MatrixFlow Case Study] Vega Corporation Co., Ltd.

[MatrixFlow Case Study] Vega Corporation Co., Ltd.

The efficiency of detection has increased with the use of AI, leading to a decrease in fraud! This is an example of how it contributes to the streamlining of operations.

We would like to introduce a case where Vega Corporation, which operates an e-commerce business (LOWYA) that offers trendy furniture and interior items at low prices, and a cross-border e-commerce platform (DOKODEMO) that sells Japanese products overseas, has implemented "MatrixFlow." The company faced a significant operational challenge in detecting and determining whether the use of a credit card was fraudulent during payment, in order to prevent unauthorized purchases. After the introduction of our product, the efficiency of detection improved through the use of AI, leading to a reduction in fraud. Additionally, not only machine learning but also existing rule-based criteria for judgment were used in conjunction, allowing for more efficient checks than before. [Challenges] - Felt limitations in manual fraud detection and considered the introduction of AI. - Wanted to conduct checks more efficiently and accurately for thousands of orders per day. *For more details, please refer to the related links or feel free to contact us.*

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[For Financial Institutions] SLM/LLM Fraud Detection System

[For Financial Institutions] SLM/LLM Fraud Detection System

Combining SLM and LLM to quickly detect fraud in financial transactions!

In the financial industry, advanced fraud detection systems are required to minimize losses from fraudulent transactions. In particular, the ability to detect anomalies in real-time is crucial to address increasingly sophisticated fraud and money laundering tactics. Cases that are difficult to handle with traditional rule-based systems can be quickly identified for new fraud patterns by our SLM/LLM emphasis system, which learns from past data. 【Use Cases】 - Fraud detection in financial transactions - Measures against money laundering - Risk assessment in credit screening 【Benefits of Implementation】 - Reduction in losses from fraudulent transactions - Improvement in fraud detection accuracy - Cost reduction through increased operational efficiency

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  • Fraud Detection System

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