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

Pitney Bowes achieves real-time analytics with SAP and Snowflake

Pitney Bowes, a global technology company that processes hundreds of millions of parcels across 16 distribution facilities, needed a faster, more scalable way to work with data. Its Enterprise Information Management team struggled with siloed systems, slow batch processing, and unreliable manual ETL work, which delayed reporting and made it harder to manage SLAs, labor planning, and package tracking in real time.

Using Fivetran with Snowflake, Pitney Bowes replaced custom scripts and legacy ETL processes with automated data pipelines and log-based CDC connectors for systems like SAP and other business-critical apps. Fivetran reduced one batch load from 31 hours to under two hours, improved SAP sync performance by 85%, and helped achieve near-real-time visibility across 16 sites; the company also reached 93% delivery estimate accuracy and gained the foundation for its new “Guaranteed Delivery” revenue program.

Pitney Bowes