Email, SMS, Microsoft Teams, &/or WhatsApp alerts
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Idle alerts
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Threshold alerts
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Job reporting enforcement
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Job queue alerts
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Live operator dashboard
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MES + Job tracking

Downtime reason capture
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Workcenter view
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Job level view
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Forms
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KPI by operator, workcenter, &/or job
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All - Machine data

Run & idle hour alarms
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Machine alarms
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Discrete signal mapping
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Connection by add-on sensor
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Connection by digital protocol
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CNC - Machine data

Offsets (CNC)
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GCode capture
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Predictive fault detection
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PMC data
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Program name
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Injection Molding - Machine data

Machine alarms
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Mold tracking
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Cycle & part counts
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Process level machine data
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Production + financial reporting

Production hours
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Production measurements
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Jobs summary
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Delivery status
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Future cash flow
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AI productivity suite

FloE™
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Efficiency agent
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ScrapAI
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Predictive costing
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Predictive bottleneck
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Dynamic scheduling
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Configuration & Administration

Shifts
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Live alerting schedule
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Multi language
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Unlimited users
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Multi facility
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A proven global solution

Implementing SensFlo’s solution allowed us to significantly improve our operational efficiency. The ability to monitor our machines in real-time and receive instant alerts has been a game-changer. It has not only increased our machine utilization by over 20% but also enhanced our decision-making process with reliable, AI-driven data. Thanks to SensFlo, we are well on our way to achieving 100% OEE.

Brian Grigson

General Manager

Axxis Corporation

Seeing the CNC controller data overlaid with power data was essential to seeing how consistent the power usage was from cycle to cycle.

Roger Singleton, PhD CEng

Research Development Advisor

AML Sheffield

This system has allowed me, as the person in charge of the plant, to monitor our processes remotely. In addition, the alarm system that is included has allowed my technical team to act sooner and deal with unscheduled stops. A key point is the measurement of times and cycles. They have helped us measure productivity and make decisions on how to balance our work shifts and not increase fixed costs, as well as how to provide feedback to staff when the planned production is not achieved.

Jonathan Almaraz

Machine Supervisor

Sharp Plastics