From Signals to Action: How Planning in a Box – Powered by Pi Agent – Is Enabling Agentic AI in Supply Chain Planning

Blog / From Signals to Action: How Planning in a Box – Powered by Pi Agent – Is Enabling Agentic AI in Supply Chain Planning

At the Gartner Supply Chain Symposium 2025, three strategic priorities stood out across analyst sessions and vendor keynotes:

• Agentic AI is rapidly shifting from theory to real-world capability
  
  
• Supply chain planning must now drive both profitability and resilience
  
  
• SAP-centric enterprises are under pressure to modernize through cloud and AI

These aren’t just emerging ideas—they’re directional signals for where global supply chains are heading. And at Pluto7, we’ve built Planning in a Box – Pi Agent to turn those signals into intelligent action.

Agentic AI: From Insights to Autonomous Planning

According to Gartner, by 2028, 33% of enterprise applications will be agentic—capable of acting autonomously within defined constraints. With Planning in a Box – Powered by Pi Agent, we’re already enabling that future.

Embedded at the core of Planning in a Box, Pi Agent operates at the intersection of automation, intelligence, and trust. Pi Agent doesn’t just generate insights—it simulates scenarios, makes proactive planning decisions, and executes them within enterprise-defined guardrails.

Inventory at risk? Pi Agent surfaces it instantly—often before it hits the radar of planning teams. Unexpected demand surge? Pi Agent adjusts allocation and pricing dynamically and recommends action in real time.

This is Agentic AI not as a concept, but as a planning layer in production, embedded in Planning in a Box, helping our customers move from insight to autonomous action with confidence.

Planning for Profitability and Resilience—Together

Today’s CSCOs are navigating a paradox: optimize for margin and plan for disruption. Traditional planning tools were not built for this level of complexity and responsiveness.

That’s why customers in Retail, CPG, and Hi-Tech, particularly those running on SAP, are adopting Planning in a Box – Pi Agent to break through the limits of traditional ERP-driven planning. With this platform, they can:

• Optimize working capital by right-sizing inventory across all distribution nodes
  
• Run real-time “what-if” scenario simulations, incorporating factors like tariffs, inflation, supplier instability, or market shocks
  
• Dynamically adjust pricing and promotions based on forecast sensitivity and business objectives
  

Planning in a Box is not just providing visibility. It’s enabling automated, data-driven, cross-functional decisions that directly impact both top-line growth and bottom-line efficiency.

SAP + AI on Google Cloud: The Modern Planning Layer

Most enterprises aren’t starting from zero—they’re evolving from complex, legacy SAP environments. But SAP alone cannot meet today’s speed or complexity of planning.

That’s where Planning in a Box – Pi Agent, built on Google Cloud, comes in. This platform serves as the AI-native planning layer that unlocks the full value of SAP systems by:

• Activating siloed SAP data through harmonized models
  
• Enabling real-time, collaborative planning across supply chain, sales, finance, and operations
• Allowing enterprises to respond to demand signals at machine speed with intelligent automation

At the Symposium, one common thread was clear: leaders weren’t asking if they should modernize—they were asking how fast they could get there. Planning in a Box is helping them accelerate that journey.

We’re Not Chasing Trends. We’re Building for What’s Next

From key sessions like the message from Gartner was consistent: the future of supply chain planning must be connected, intelligent, and autonomous.

At Pluto7, we’re not waiting for 2028.

We’ve already built and deployed Planning in a Box – Pi Agent to help enterprises navigate volatility and complexity—today. It enables proactive decisioning across planning horizons, from forecasting to execution.

This is more than dashboards. This is about AI agents driving autonomous decisions, grounded in the context of your SAP data and tailored to your business strategy.

If you’re a CSCO grappling with change, complexity, and legacy constraints—we built this for you.

 Explore Planning in a Box – Powered Pi Agent