Supply chain · Production

OpenText information management solutions for energy and resources industry

The problem

Energy and resources organizations face challenges keeping asset documentation current across the full asset lifecycle, preventing unexpected equipment failures, scaling monitoring across many assets, securing critical infrastructure, and communicating with customers during outages.

Workflow diagram · grounded in source
1
AI asset documentation retrieval
ai_action
“Use AI to find asset documentation faster, keep it current, and execute business processes”
2
IoT predictive failure analytics
ai_action
“Use B2B integration, IoT, and advanced analytics to predict failures before they occur at the equipment and facility levels.”
3
Drone video hazard detection
ai_action
“Scale video drone asset monitoring and hazard detection by streamlining media management, image analytics, and integration with work order management.”
4
Real-time outage alerting
output
“OpenText™ Experience Cloud solutions let you send real-time alerts of incidents and outages, improving communication, trust, customer satisfaction, and service reliability.”
5
Digital twin enablement
ai_action
“OpenText information management solutions enable digital twins by providing real-time data, predictive insights, and streamlined operations.”
Reported outcome

OpenText positions its solutions as enabling AI-ready digital transformation for safety, operations, and business execution across energy and resources organizations through converged cloud, cybersecurity, and AI capabilities.

Reported metrics
Operational expense savings via digital twins (external estimate)10 percent
Source
https://www.opentext.com/solutions/industry/energy-and-resources
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

OpenText positions its solutions as enabling AI-ready digital transformation for safety, operations, and business execution across energy and resources organizations through converged cloud, cybersecurity, and AI capa…

What results were reported?

Operational expense savings via digital twins (external estimate): 10 percent (source-reported, not independently verified).

How is this supply chain AI workflow structured?

AI asset documentation retrieval → IoT predictive failure analytics → Drone video hazard detection → Real-time outage alerting → Digital twin enablement.

Related supply chain cases