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AI Transformation

SmartOps24x7 Intelligent Agent Software Platform
for Implementing Smart Operations Management Systems

SmartOps24x7 is a software platform that enables the rapid and cost-effective implementation of Smart Operations Management Systems.

These systems:

  1. Enable real-time tracking and management of jobs and materials through multiple manufacturing plants, distribution warehouses, and in field applications such as installation, delivery, and construction, using the companion WIPtracker real-time data collection system.
  2. Eliminate much of the "intelligent grunt work" in managing operations in manufacturing plants, distribution warehouses, and other industrial organizations.
  3. Help ensure that all stake-holders have the information they need, when and where they need it, in a format that is most useful.
  4. Automatically exchange information between all the different systems which are used by different departments at different sites.
  5. Collect the operations management data needed by AI  and business intelligence programs to provide decision support information for operations managers and their staff
  6. Automate many routine operations management decision making activities.
  7. Alert managers and their staff when situations arise that they need to pay attention to.

SmartOps24x7 is based on the principal of using many intelligent agent processes that execute in parallel to monitor, analyze and synthesize data data from many sources into information which can be sent to other systems and people in near real-time.

Applications of SmartOps24x7 include enterprise integration, customer order processing, supply-chain management, and FDA regulated materials tracking and traceability compliance.

SmartOps24x7 is designed to be fully customizable through Python scripts and interface rules, which are imported in the form of Excel spreadsheets. SmartOps24x7 is designed to be quickly implemented by systems integrators and an enterprises' IT staff, with new and existing agents easily configurable by business analysts and manufacturing engineers. Reso urces


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