Overview

AIP streamlines maintenance operations by empowering users to deploy AI/ML models for predictive maintenance, surfacing potential failures to be reviewed.

Features

• Predictive Maintenance: Streaming data not only provides real-time context on the status of equipment pre and post-failure, but also enables real-time inference from AI/ML models for predictive maintenance, which can allow potential failures to be caught before they occur.
• Staffing and material scheduling: Integrate ERP, HR, and SCM systems to ensure every maintenance activity has the people and materials it needs to be resolved effectively.
• Global Control Tower: As well as helping to improve operations at every site, AIP allows manufacturing teams to aggregate issues at the global level, to identify systemic issues and inefficiencies. Bidirectional communication between central teams and operators on the factory floor ensure known issues and resolutions are reported, mitigating downtime and ineffective solution strategies.