Case Study: Pitney Bowes achieves real-time parcel visibility and faster analytics with Fivetran

Pitney Bowes tracks 800M+ parcels in real time with Fivetran

Pitney Bowes, a global technology company that simplifies e-commerce, shipping, and mailing, needed better access to high-quality, real-time data to support critical business decisions. Its legacy data environment was siloed, hard to scale, and expensive to maintain, which slowed reporting, limited visibility across 16 distribution centers, and made it difficult to respond quickly to shipment delays and SLA risks.

Using Fivetran with Snowflake, Pitney Bowes replaced custom batch scripts and ETL processes with automated, log-based CDC pipelines and out-of-the-box connectors for systems like SAP and other operational tools. Fivetran helped reduce one batch load from 31 hours to under two hours, improved SAP sync performance by 85%, and enabled near-real-time analytics for 800M+ parcels per day, reaching 93% delivery estimate accuracy and supporting a new “Guaranteed Delivery” revenue program.

Pitney Bowes

Vishal Shah

Solutions & Deployment Architect