From Data Chaos to Intelligent Planning: Reimagining Supply Chains with Planning in a Box – Pi Agent

Blog / From Data Chaos to Intelligent Planning: Reimagining Supply Chains with Planning in a Box – Pi Agent

For many enterprises, especially those built on SAP, the supply chain has grown increasingly complex. Data sprawls across systems – ERP, spreadsheets, cloud applications—while teams scramble to forecast, fulfill, and optimize with limited visibility and even less agility.

The result? Slow reactions, lost margins, and mounting inefficiencies.

But a new era of supply chain intelligence is emerging—where AI works alongside your teams, systems talk to each other, and decisions happen in near real time.

At the heart of this transformation is Planning in a Box – Pi Agent, built on Google Cloud and designed to unify your entire supply chain into one intelligent, action-ready ecosystem.

Why Supply Chains Need a New Model

Enterprise supply chains today face three urgent challenges:

• Data silos that slow decision-making
  
• Disconnected tools that require manual handoffs
• Outdated planning that relies on guesswork instead of insight

While some global leaders have already made the leap – streamlining planning, fulfillment, and forecasting through AI and unified platforms – many others are stuck in legacy loops.

But the future is here – and it’s not about adding more tools. It’s about building a smarter foundation.

The Amazonian Leap

Amazon.com ‘s story is a masterclass in leveraging AI for supply chain dominance. Faced with workforce limitations, operational delays, and soaring customer expectations, they turned to AI. Outdated systems and manual processes couldn’t keep up with the demand for real-time order processing and next-day delivery.

By introducing AI demand forecasting and AI-driven automation for order fulfillment, Amazon:

• Increased supply chain speed by an astounding 75%
  
• Slashed fulfillment overheads by 25%
  
• Is on track to save an estimated $10 billion by 2030

This transformation wasn’t just about isolated AI projects; it was about creating an intelligent, data-driven ecosystem. So, how can other enterprises, particularly SAP customers, achieve a similar evolution?

A New Planning Model: Your Supply Chain, Reimagined as a Superapp

Imagine a single, intelligent platform that unifies your SAP backbone with Salesforce, Excel, AdTech, and more – consolidating all your data and turning it into real-time actions.

That’s the core idea behind Planning in a Box – Pi Agent.

This isn’t just a suite of features. It’s a supply chain superapp – a flexible, AI-powered environment where data flows freely, AI understands context, and users get tailored insights that help them act with confidence.

Let’s break down the core capabilities that bring this vision to life.

Unified Master Ledger: Real-Time Decisions from a Single Source of Truth

Most supply chains are built on fragmented data. Planning in a Box solves this with a Unified Master Ledger – a consolidated foundation that brings together inventory, production, planning, and fulfillment data.

This enables:

• Real-time inventory movement and stock allocation
  
• Accurate Available-to-Promise (ATP) decisions
• Consistent, connected planning across the organization

Learning: Real-time visibility starts with unified data—not just dashboards.

Integrated Services: Eliminate System Silos

With built-in integrations across SAP, Salesforce, AdTech, Excel, and more, Pi Agent creates a seamless, connected planning ecosystem.

From demand forecasting to margin analysis and scenario modeling, all services are synchronized—removing friction and enabling faster, end-to-end decisions.

Learning: A modern supply chain doesn’t work in parts. True transformation needs interconnected data and workflows.

AI-Powered Actions: From Insight to Execution

Pi Agent is not just about visibility—it’s about actionability.

Available on Google Agentspace and leveraging the Google Cortex Framework, Pi Agent:

• Surfaces AI-generated recommendations
  
• Automates planning tasks using ADK and A2A protocols
  
• Flags slow movers, invoice blocks, and inventory risks
• Offers mitigation strategies in real time

 Learning: AI adds real value when it triggers action – not just insight.

Personalized Planning Views: Right Data for the Right Person

Every team works differently. Pi Agent delivers role-based dashboards and action prompts tailored to supply planners, operations leads, and executive decision-makers.

This ensures every user sees what matters most – nothing more, nothing less.

Learning: Personalization in planning leads to faster execution and fewer miscommunications.

Real-Time Fulfillment Optimization: Built for Scale

With customer expectations rising, fast and accurate fulfillment is a competitive edge.

Planning in a Box’s fulfillment engine assigns order commit dates in real time and handles:

• Combo-product logic with component-level planning
  
• In-transit stock, reservations, and multi-source data
  
• Over 100,000 orders per batch in under 20 minutes

Learning: Smart fulfillment requires real-time, scalable planning – not after-the-fact reconciliation.

Proactive Inventory Management: Stay Ahead of Disruptions

Instead of waiting for problems, Pi Agent continuously scans for risks and opportunities. It identifies:

• Potential stockouts and overstocks
  
• Misalignment between forecasts and orders
• Substitution or redistribution opportunities

And thanks to intelligent automation, inventory actions are triggered automatically – long before costs escalate.

Learning: Proactive inventory control reduces firefighting and protects margins.

Scenario Planning with Intelligence: Be Ready for Anything

With AI-powered forecasting, Pi Agent transforms how enterprises plan:

• Demand Sensing: Move beyond historical analysis with signal-driven predictions
  
• Inventory Optimization: Cut holding costs and increase turnover
  
• Margin Analysis: Simulate profitability before making changes
• What-If Modeling: Analyze tariff shifts, supplier delays, or policy impacts instantly

Learning: Strategic planning is no longer a quarterly activity—it’s a daily capability.

AgentSpace: Where AI Takes Action

Available on Google AgentSpace Pi Agent doesn’t just analyze—it thinks, reasons, and responds.

• Uses Gemini 2.5+ and Pluto7 models for contextual reasoning
  
• Communicates with planners via natural language
  
• Connects across SAP, Excel, and third-party apps
  
• Frees human teams to focus on strategic decisions

Learning: AI that reasons like your best planner—available 24/7—is no longer fiction.

Built for SAP, Powered by Google Cloud

Many SAP-driven enterprises hesitate to modernize because of risk, cost, or scale. Planning in a Box solves this by enabling Google Cortex allowing SAP data to flow into BigQuery using customisable prebuilt models and accelerators.

You don’t rip and replace. You extend and elevate.

Learning: The future of planning brings together cloud-native intelligence with trusted SAP stability.

The Outcome: A Truly Intelligent, Unified Supply Chain

By adopting Planning in a Box – Pi Agent, businesses are seeing:

• Real-time visibility across all supply chain functions
• Automated decision flows that reduce manual workload
• Improved forecasting accuracy and inventory turnover
• Greater collaboration between departments
• Measurable impact on margins, service levels, and cost

Ready to See It in Action?

If you’re tired of managing planning in silos—or constantly reacting instead of anticipating –now is the time to step into a smarter future.

Let us show you what an intelligent supply chain platform, powered by Pi Agent, can do.

Request a Demo