[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.*

Software (middle, driver, security, etc.)