bg

Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration

Cloud Marketplace

Explore Pi Agent pi-logo

From MRP to Agentic AI: Why Your ERP Needs a Planning in a Box – Pi Agent Upgrade

June 26, 2025 | Vipul Borse

Blog / From MRP to Agentic AI: Why Your ERP Needs a Planning in a Box – Pi Agent Upgrade

Why Planning Still Happens Outside Your ERP

Enterprise Resource Planning (ERP) systems have long been the backbone of large organizations. They started by streamlining manufacturing resource planning (MRP), and evolved to unify finance, HR, supply chain, and more. Yet in 2025, despite the billions spent and decades of deployment, nearly 80% of planning still happens… in Excel.

The reason? Familiarity. Excel remains a familiar tool – visually flexible, manually driven, and deeply embedded in daily workflows. And in today’s volatile markets, it doesn’t compete either.

The Excel Bottleneck in Modern Supply Chains

Excel offers perceived control, but the trade-off is significant: disconnected data, manual workarounds, static forecasts, and planning blind spots. Spreadsheets can’t digest real-time demand signals, combine structured ERP data with unstructured market trends, or support intelligent, autonomous decisions.

And that’s a problem – because today’s supply chain is not just fast-moving. It’s unforgiving. Tariffs change overnight, demand fluctuates by the hour, and disruptions happen without warning. Static planning tools buckle under the complexity.

What Enterprises Need Now: Planning That Thinks, Learns, and Acts

Planning is no longer about reviewing past trends. It’s about sensing, predicting, and adapting in real time. That’s where the next generation of enterprise planning begins with AI agents that don’t just assist planners, but augment them with intelligence, context, and speed.

Planning in a Box – Pi Agent: A New Brain for Your ERP

Planning in a BoxPi Agent isn’t another analytics dashboard or bolt-on tool. It’s a complete agentic AI layer built on Google Cloud that turns your ERP into a dynamic decision-making engine.

Instead of replacing your ERP, it works by integrating directly with platforms like SAP, Oracle, and NetSuite and more – while layering intelligence on top. Think of it as adding a brain that understands context, predicts outcomes, and acts autonomously.

Two Foundations of Enterprise AI Planning

1. Unified Data: The Master Ledger

Most ERPs were never designed to handle unstructured data or external signals. Planning in a Box fixes this with a powerful ingestion framework that consolidates internal ERP data (structured and unstructured) into a unified Master Ledger via BigQuery.

You get a single source of truth from order patterns and returns to external trends like Google Shopping signals or social sentiment. This foundation is AI-ready, real-time, and secure.

2. Pi Agent: The Intelligent Planning Layer

Built into the platform is the Pi Agent, a generative AI assistant orchestrating specialized agents for demand, inventory, finance, defects, and more. These aren’t chatbots. They’re domain-specific AI agents that sense, analyze, and act.

  • Demand sensing with Ron: Captures macroeconomic indicators, promotions, and real-time demand to improve forecasting accuracy.
  • Inventory optimization with Kassy: Reallocates stock dynamically to prevent stockouts and overstocking.
  • Finance modeling with Alex: Connects cost, margin, and cash flow insights to supply chain decisions.
  • Defect detection with Bob: Spots quality issues before they turn into customer complaints.

Each Agent is purpose-built and constantly learning, helping planners shift from reactive decision-making to proactive optimization.

See How Planning in a Box – Pi Agent Works in Your ERP Environment

Curious how fast you can move from Excel to AI-native planning? Schedule a demo to see Planning in a Box – Pi Agent integrated with your own system. You’ll see real-time inventory insights, live demand forecasting, and action-ready recommendations—on Day 1.

Request a Demo

Why It’s Different (and Better) Than What You’ve Tried

Real-Time, Not Reconciled Later

With traditional systems, you wait hours or days for batch reports. Planning in a Box – Pi Agent works in real time. Whether it’s a factory delay, a spike in returns, or a change in regional demand Pi detects it, models the impact, and recommends a response instantly.

Designed for Humans, Not Data Scientists

Planners don’t want more dashboards. They want clarity. Pi Agent delivers contextual answers in natural language and intuitive visualizations. No complex queries. Just ask, “What’s the risk of stockout in California next week?” and get a straight answer with recommended actions.

Built for the Fast-Moving Mid-Market

Unlike heavyweight platforms or rigid SaaS tools, Planning in a Box – Pi Agent is tailored for $300M–$3B organizations in fast-moving industries like fashion retail and semiconductors. It deploys in 24 hours, delivers ROI in 4 weeks, and scales as you grow.

From Creators to Curators: The Rise of Intelligent Planning

Planning in a Box is changing how enterprise planning gets done. You’re not building forecasts from scratch anymore, you’re curating them. You’re not manually stitching together siloed reports, you’re conversing with data that already knows what matters.

This is the shift from planning as a process to planning as intelligence.

With Planning in a Box – Pi Agent, planning becomes:

  • 10x faster than traditional methods
  • More accurate, leveraging over 250 external signals
  • Proactive, not reactive
  • Human-in-the-loop, so you’re always in control

The Future Has Already Started

Many companies are already live with Planning in a Box – Pi Agent, using their real production SAP data to forecast demand, balance inventory, and reduce defects all within a single AI-powered platform.

It’s not a vision. It’s already happening.

Want to Stop Planning in Excel?

You don’t need to rip out your ERP. You just need to give it intelligence.

Book a Demo with our team to see how Planning in a Box – Pi Agent can work for your specific use cases from demand forecasting to defect reduction and inventory optimization.

ABOUT THE AUTHOR

Vipul Borse, is a data-driven supply chain enthusiast with a Master’s in Information Systems from Pace University, New York. With a strong foundation in analytics, programming, and data visualization, he is passionate about harnessing data to improve supply chain transparency, agility, and performance. Vipul’s work reflects a deep curiosity for how technology can optimize complex logistics and operations in the evolving world of supply chain.

Connect with Vipul on LinkedIn