Case Study: UPS Capital achieves real-time, AI-secured package delivery and cost savings with Striim

UPS Leverages Striim and Google BigQuery for AI-Secured Package Delivery

UPS Capital faced a surge in package theft and an overwhelming volume of delivery data that strained traditional security and risk-management systems. To restore real-time visibility and protect customers, UPS Capital partnered with Striim, using Striim’s real-time data streaming technology together with Google BigQuery to enable immediate ingestion and processing of diverse data sources for faster risk assessment and response.

Striim streamed delivery and risk data into Google BigQuery and supported the DeliveryDefense™ Address Confidence system to score locations, power AI/ML models, and optimize logistics. As a result, UPS Capital improved customer experience, reduced losses from theft and route inefficiencies, and accelerated anomaly detection and fraud prevention—supporting operations that handle 280K+ claims paid annually, $236B in declared value, and 690K shippers protected.

UPS Capital

Pinaki Mitra

VP of Data Science and Machine Learning