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The search for a free OEE software trial<\/strong> is almost always driven by the same reasonable instinct: before committing budget to a commercial platform, try the software on one line, see how it works, and make the purchase decision based on actual experience rather than sales presentations. This is a sound approach in most software categories. In industrial OEE monitoring, the trial model has a structural limitation that most manufacturers discover only after several weeks of trial effort: the software is only half of what you need, and the other half \u2014 the IoT sensors, the installation, the configuration for your specific machines and products \u2014 is exactly what the trial format asks you to provide yourself. This guide explains the trade-off honestly and covers when a POC delivers faster, cleaner results.<\/p>\n A standard OEE software trial provides time-limited access to the vendor’s platform \u2014 typically 14 to 30 days of cloud dashboard, user accounts, and documentation. Some vendors include a starter sensor kit; others provide software only and expect the manufacturer to source compatible sensors. The trial period begins when you sign up and runs regardless of whether you have successfully deployed sensors or generated useful data. If setup takes longer than expected \u2014 which is the typical case on any non-trivial machine fleet \u2014 a significant portion of the trial window is consumed by deployment work rather than data evaluation.<\/p>\n Evocon, Factbird and other commercial OEE platforms structure their trials this way because the trial model works well for software-only products. For OEE, the software is the easy part. The difficulty is in the physical layer: connecting IoT sensors to machines of mixed vintage and automation levels, ensuring reliable data transmission, configuring the platform for product references and cycle times, and establishing baseline accuracy. A 30-day trial becomes a 45-day engineering project, and the data evaluation that was the actual reason for the trial is compressed into the final week.<\/p>\n For a trial that delivers useful data on 3 machines, the typical internal time investment from the manufacturer’s team is 20 to 40 hours: sensor installation (if DIY), network configuration, platform setup, product reference configuration, operator training on the tablet interface, and troubleshooting of connectivity issues. This is real engineering work. At a fully-loaded hourly rate of 75 to 100 euros for internal staff, the “free” trial costs 1,500 to 4,000 euros in internal labour \u2014 before producing the first day of useful data.<\/p>\n For a POC with the same 3 machines, the manufacturer’s time investment is approximately 2 hours: a 30-minute kick-off call to align on scope, a 60-minute window during installation (which is done by the vendor’s deployment engineer), and a 30-minute review of the findings at the end. The sensors are installed by the vendor. The platform is configured by the vendor. The product references are aligned by the vendor. The manufacturer’s team continues normal production throughout. At the end of 48 hours, the data is delivered as a written analysis alongside live dashboard access.<\/p>\n This is the structural difference between the two formats: a trial assumes you have the engineering capacity to deploy the platform; a POC assumes you want the answer quickly and cleanly. For manufacturers with large dedicated manufacturing IT teams, the trial model can work. For everyone else, the POC produces better results faster \u2014 which is why it has become the preferred format for commercial OEE platform evaluation.<\/p>\n The most important question any OEE platform evaluation needs to answer is: what is the actual OEE on these production lines, including the micro-stops that manual measurement never captures? A trial can in principle answer this question, but only if sensor deployment has been successful, platform configuration is complete, product references are correctly set, and enough production hours have passed to produce statistically meaningful data. These conditions are frequently not met within a 30-day trial window, particularly for manufacturers without dedicated IIoT deployment experience.<\/p>\n A POC is structured to guarantee the answer. The deployment engineer’s job is to make sensor installation and platform configuration work correctly; the 48-hour measurement period begins only after those conditions are confirmed. The analysis at the end of the 48 hours is delivered as a structured report: real OEE, decomposition into Availability, Performance and Quality, Pareto of loss categories, cross-dimensional patterns identified by JEMBA AI, and quantified improvement potential in euros per line. This is the decisive data that makes the commercial decision straightforward. Our free OEE POC guide<\/a> covers the full process.<\/p>\n What a typical OEE software trial includes<\/h2>\n
The realistic time investment for a trial versus a POC<\/h2>\n
What a trial cannot answer that a POC answers definitively<\/h2>\n
Free POC<\/h3> \n