Pitney Analytics

Gain complete visibility and control of your shipping and mailing spend. Capture and organize every shipping and mailing expense into a single complete view for automated reporting and insights to make the right, data-driven shipping and mailing decisions.

Pitney Analytics helps you break down data silos, so you know what’s happening in near real time. As part of the Shipping 360 platform, it provides complete visibility to data coming from single or multiple Pitney Bowes solutions, including PitneyShip, PitneyTrack, ParcelPoint, Smart Lockers, SendPro and other Pitney Bowes mailing devices.

Save time by consolidating data sources. Managing a large enterprise with multiple locations and systems makes it difficult to track and analyze data. Pitney Analytics lets you quickly access critical insights by consolidating data from all these sources. With it, you can:

  • Consolidate and standardize shipping, mailing and receiving data from different sources across all locations
  • Quickly view near real-time expense data across your entire organization in one place
  • Aggregate shipping spend by carrier and service class for holistic views into shipping activity Save money and boost efficiency with recommendations and reports.

Pitney Analytics helps easily identify areas to save money and increase efficiency. There’s also user and location-based reporting to pinpoint potential hotspots. Recommendations based on your usage data paired with insights from Pitney Bowes industry experience allow you to uncover new opportunities to save and make smarter decisions for your business, including:

  • Recommended shipping savings
  • Carrier and service insights Certified Mail savings with eRR
  • Mailing optimization and cost recovery Shipping and Mailing Accounting and Expense Management Pitney Analytics Gain complete visibility and control of your shipping and mailing spend. Capture and organize every shipping and mailing expense into a single complete view for automated reporting and insights to make the right, data-driven