Manufacturing and distribution companies have the choice of numerous Industrial IoT (IIoT) vendors and providers. Many of these vendors offer similar subsets of IIoT functionality through their software and service products. For instance, their IIoT software product may be useful for data acquisition and reporting, but what they do not have is the industrial automation experience to offer the necessary machine connectivity solutions.

This is what sets Prophecy IoT apart and allows us to provide state of the art IIoT features and functions for machine connectivity, data acquisition, data analytics, and reporting. Behind Prophecy IoT is a highly skilled software program development team, and a consulting services team — each with in-depth knowledge and years of experience in all facets of Industrial Automation and IoT, and vast experience working in the manufacturing industry.  Combined they bring valuable lessons learned and best practices to all customer engagements.

Prophecy IoT Benefits

There are key benefits to manufacturing by implementing Prophecy IoT. It enables real time high speed collection of in-context manufacturing and operations data without requiring people use expensive time to do it. Additionally, accurate data can be more easily collected throughout each production shift, job, or operation. Prophecy IoT transforms this data into manufacturing and process in-context information, which saves companies time and money because they will no longer have to rely on manual data entry by employees. This new technology does the work itself, integrating manufacturing Enterprise Resource Planning (ERP) data with production machine generated data and, with the use of statistical analytics, presents meaningful information that can be used to make fast and accurate decisions in real time. Other benefits of Prophecy IoT include instantaneous visibility to accurate and truthful manufacturing data, increased ability for quick decisions to avoid costly errors, reduced manual data collection efforts and errors, and increased alignment of cause and effects relationships.

  • Real time visibility and accurate data
  • Reducing of the effort to collect and manage data
  • Single source of truth
  • Increasing speed of reporting and analysis – getting ahead of problems – predicting the future
  • Efficiency – reducing the need for human effort
  • Reducing risk and the need for increasingly consistent profits
  • Providing actionable and real-time data to all levels of management
  • Motivating and informing production workforce through displaying goals and targets versus reality