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iFactory OEE Analytics

iFactory OEE Analytics tracks Availability, Performance, and Quality across production lines in real time, with the aim of identifying production losses.

Place
#16 of 24
Score
6.0
iFactory OEE Analytics's website

What iFactory OEE Analytics is

iFactory OEE Analytics tracks Availability, Performance, and Quality across production lines in real time, with the aim of identifying production losses. It collects information from PLCs, IoT sensors, SCADA systems, and manual inputs, and calculates OEE as Availability × Performance × Quality. Losses are classified with the Six Big Losses framework. A dashboard provides live OEE scores and views that can be drilled down from plant to line, machine, and component. Alerts can be sent by SMS, email, or push notification when OEE drops below a target. The listed AI analysis correlates downtime, speed, quality, and environmental data to identify root causes and recommend actions. Forecasts cover the next shift, day, and week; the page states 91% forecast accuracy. Analytics compare shifts, lines, machines, products, and time periods. Deployment options include cloud SaaS, on-premise server and hardware, and Greenfield projects. Pricing is by custom quote; cloud pricing depends on users, modules, and production lines. On-premise deployment offers data sovereignty and offline capability.

Good

  • Tracks Availability, Performance, and Quality in real time.
  • Accepts PLC, sensor, SCADA, and manual data.
  • Alerts can use SMS, email, or push notifications.
  • Compares performance across shifts, lines, and machines.
  • Offers cloud, on-premise, and Greenfield deployment.

Watch out

  • Pricing requires a custom quote.
  • Cloud quote depends on users, modules, and production lines.
  • On-premise server and hardware pricing is custom.
  • Forecast accuracy is stated as 91%.

Who it suits

It suits production teams that need to monitor OEE, investigate losses, and compare performance across lines or shifts. Organizations choosing deployment can consider cloud SaaS, on-premise, or Greenfield options.

Verdict

iFactory OEE Analytics combines live OEE tracking with loss analysis, alerts, comparisons, and forecasts. Buyers need a custom quote, with deployment and production scope affecting the listed pricing options.

Plans and prices

From iFactory OEE Analytics's own pricing page, checked 2 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Cloud-Based SaaSPriced on requestCustom quote based on users, modules & production lines
Greenfield PlantPriced on requestCustom quote; end-to-end project scoping & consultation
On-Premise Server & HardwarePriced on requestCustom quote based on hardware, modules & deployment scope

The facts

Each one read from iFactory OEE Analytics's own pages, with the date it was checked.

What it does

AI analysis
The page says AI correlates downtime, speed, quality, and environmental data to identify root causes and recommend corrective actions.checked 2 Oct 2026
Alerts
Threshold alerts can be sent by SMS, email, or push notification when OEE falls below a target.checked 2 Oct 2026
Comparisons
The analytics compare OEE across shifts, production lines, machines, products, and time periods.checked 2 Oct 2026
Dashboard
The dashboard provides live OEE scores and drill-down views from plant to line, machine, and component.checked 2 Oct 2026
Data collection
The product collects machine data from PLCs, IoT sensors, SCADA systems, and manual inputs.checked 2 Oct 2026
Deployment
The maker lists cloud SaaS, on-premise server and hardware, and Greenfield deployment models; cloud pricing is a custom quote based on users, modules, and production lines.checked 2 Oct 2026
Forecasting
OEE forecasts cover the next shift, day, and week, and the page states 91% forecast accuracy.checked 2 Oct 2026
Integrations
The page lists PLC, SCADA, and sensor data feeds, plus ERP production synchronization with SAP, Oracle, and Dynamics.checked 2 Oct 2026
OEE calculation
It calculates OEE in real time as Availability × Performance × Quality and classifies losses using the Six Big Losses framework.checked 2 Oct 2026
Protocols
The FAQ says machine connectivity supports OPC-UA and Modbus, IoT sensor gateways, touchscreen operator input, and API integration with MES or ERP systems.checked 2 Oct 2026
Purpose
OEE Analytics tracks Availability, Performance, and Quality in real time across production lines and identifies production losses.checked 2 Oct 2026
Security and data control
The pricing page says on-premise deployment offers data sovereignty, privacy, and air-gapped or offline capability.checked 2 Oct 2026
Support
The support page lists an address in Sunnyvale, California, a phone number, and an email contact.checked 2 Oct 2026

The company

Headquarters
440 N. Wolfe Road, Sunnyvale, CA 94085, USAchecked 28 Sep 2026

Where it runs

Mobile apps
The cloud platform listing includes a mobile app for iOS and Android.checked 2 Oct 2026

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