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The energy and utilities industry is facing rising demand and constrained supply. Every delay in securing critical materials raises downtime exposure and cost across transmission and distribution (T&D).
Supply resilience depends upon anticipating disruption rather than reacting to it. AI-driven predictive analytics makes this possible.
The new GEP white paper, Driving Supply Chain Resilience in E&U With AI Predictive Analytics, explains how predictive intelligence helps companies forecast material needs, predict asset failures, and plan sourcing with precision.
What’s Inside:
- Understand key pressures straining E&U supply chains
- How AI enables predictive foresight across demand, risk, and assets
- Road map for proactive procurement and predictive maintenance
It is an essential resource for leaders responsible for supply continuity and grid reliability.