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

Pitney Bowes Industrial Internet

GE Digital (GE)
Pitney Bowes Industrial Internet
Pitney Bowes Industrial Internet
Pitney Bowes Industrial Internet
Paper & Pulp
Equipment & Machinery
Production - Manufacturing
The world's 1st-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.
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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 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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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 efficiency and 20% call center activity reduction.
Up to 15% savings on parts replacement and 10% tech support time-savings.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
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.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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