Accelerating the Industrial Internet of Things
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GE Digital (GE) Case Studies Transformation: Pitney Bowes on the Industrial Internet

Transformation: Pitney Bowes on the Industrial Internet

GE Digital (GE)
Transformation: Pitney Bowes on the Industrial Internet
Transformation: Pitney Bowes on the Industrial Internet
Transformation: Pitney Bowes on the Industrial Internet
Equipment & Machinery
Paper & Pulp
Production - Manufacturing
Maintenance
The world's rst-ever Industrial Internet platform, Predix, becomes a pathway for revenue generation and notable new cost savings for Pitney Bowes' production mail business. An ordinary mail business, this is not. Of the 150 million pieces of mail produced each day in the US, the majority go through Pitney Bowes machines.

Pitney Bowes would like to find a solution that puts existing sensors to work, makes machines intelligent, while connectivity and powerful real-time analytics give rise to pivotal insights and increased decision-making power.
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The workhorses of industry, Pitney Bowes machines perform in 3,500 systems installed worldwide, many with more than 10 assets per site, operating 24/7.
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Predix powers Clarity – Pitney Bowes’ new Industrial Internet software solution.

Clarity improves inserting and mail nishing operations by:

- Monitoring asset health
- Remotely diagnosing technical issues in real time
- Helping increase asset utilization
- Improving operations via machine resources and job scheduling
- Improving SLA attainment via real-time adaptive scheduling
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IOT
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Emerging (technology has been on the market for > 2 years)
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Clarity helps drive up to 20% increases in machine yield over time.
Up to 10% machine eciency and 20% call center activity reduction.
Up to 15% savings on parts replacement and 10% tech support time-savings.
Hardware
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Services
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