Case Study: SoftBank Payment Service achieves real-time payment monitoring and early fraud detection with Elastic

SoftBank Payment Service Powering the Search for Payment Service Monitoring and Fraud Detection

SoftBank Payment Service, part of the SoftBank Group, processes hundreds of millions of transactions for roughly 80,000 merchants across 40+ payment methods. The company struggled with limited visibility into payment failures—alerts were routed manually via email and Slack, leaving IT as the sole owner of incident detection, diagnosis, and reporting—and Excel-based reporting made it hard to analyze large volumes of transactional data or spot fraud quickly.

SoftBank implemented the Elastic Stack (Logstash, Elasticsearch, Kibana), alerting, and machine learning to create real-time, color‑coded dashboards and automated Slack alerts with drill‑down capability by payment method and merchant. The solution sped incident detection and resolution, enabled ML‑driven anomaly and fraud detection, replaced brittle manual reporting, and expanded analytics to sales teams with self‑serve dashboards and visualization tools for collaborative, data‑driven decision making.

SoftBank Payment Service

Junya Suzuki

Senior Architect