Capacity Planning

Uses demand and network data to plan capacity so stores or infrastructure can be sized and adjusted to expected load.

Business impact

• analysis cycle time — 7-Eleven says the environment shortened analysis cycle time for promotional campaigns.
• WAN bandwidth — Google says WAN bandwidth increased 7x from 2020 to 2025.
• failure mitigation time — Google says agentic AI shortened mean-time to detect and resolve network issues.

Data requirements

• point-of-sale data (tabular) — Used by 7-Eleven to analyse patterns and demand variation.
• network telemetry and operational data (tabular) — Implied by Google's digital twin and autonomous network operations for monitoring and planning.

AI methods and techniques

• machine learning — Used to analyse point-of-sale patterns and operational signals for planning decisions.
• predictive analytics — Used by 7-Eleven to predict demand variations for capacity planning.
• digital twin — Google uses a network digital twin to prevent outages, identify root causes, and optimize capacity planning.
• agentic AI — Google uses autonomous network operations to improve resilience and customer experience.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: 7-Eleven, Google.