Ride-Share-Like Planning for Supply Chains: How Agentic AI is Changing the Game

Blog / Ride-Share-Like Planning for Supply Chains: How Agentic AI is Changing the Game

For decades, supply chain planning has been trapped in a rigid, reactive cycle. Businesses have relied on static, monthly forecasts pushed into legacy ERP systems, with planners spending the majority of their time firefighting in spreadsheets as reality inevitably drifted from the plan.

This old-world approach suffers from data silos, a lack of real-time supply chain visibility, and slow, manual processes that simply cannot keep pace with today’s market volatility.

But what if your supply chain could operate with the agility and intelligence of a ride-share network? Imagine a system that senses a sudden demand spike – just like an app detects a surge in riders – and automatically routes the right inventory from the right location to meet that need.

This isn’t a future dream – it’s happening today, powered by the combination of Pluto7’s Planning in a Box – Pi Agent and the collaborative intelligence of Google Agentspace.

The Problem with Traditional Supply Chain Planning

Today’s enterprise landscape is more complex than ever. Supply chain teams must gather insights from dozens of systems — ERPs like SAP, Oracle, and Netsuite and more; Warehouse Management Systems (WMS); CRMs; plus external market and demand data.

This fragmentation creates data silos, making it difficult to get a single source of truth for decision-making. As a result, up to 80% of planning still happens in spreadsheets, leaving companies exposed to disruptions — from geopolitical changes to unexpected demand surges.

Building a Smarter Foundation: Planning in a Box – Pi Agent

Planning in a Box – Pi Agent is more than another application — it’s an AI-driven supply chain platform built on Google Cloud that transforms disconnected processes into an integrated, intelligent network.

At its core, the platform creates a Master Ledger on Google BigQuery, unifying structured ERP data and unstructured data from PDFs, emails, and other sources into a single, reliable dataset.

The Pi Agent — the AI-powered intelligence of the platform — operates within Google Agentspace to:

• Answer complex supply chain questions in plain language.
  
• Proactively detect demand patterns and disruptions before they escalate.
• Automate repetitive tasks, freeing planners for strategic decision-making.

The Power of Google Agentspace for Supply Chain Collaboration

Google Agentspace turns the Pi Agent into part of a digital workforce, where specialized AI agents collaborate to run and optimize the entire supply chain.

Think of it as a team of dedicated digital experts:

• Ron, the Demand Agent — Analyzes historical data, market signals, and external trends to produce accurate forecasts.
  
• Kassy, the Inventory Planning Agent — Optimizes inventory levels and locations based on demand.
  
• Alex, the Financial Analysis Agent — Calculates real-time cost implications of different planning scenarios.
• Bob,the Quality Control Agent — Flags potential product quality issues before they reach customers.

Working together through Google Agentspace, these agents deliver a real-time, autonomous, and resilient supply chain.

Why “Ride-Share-Like” Supply Chain Planning Works

The ride-share analogy highlights what makes this approach unique. Instead of static plans, the supply chain becomes a dynamic network that continuously senses, adapts, and optimizes.

Ride-Share Platform	Agentic Supply Chain Planning
Senses real-time passenger demand	Senses real-time demand and market changes
Dispatches nearest available driver	Allocates and repositions inventory dynamically
Optimizes routes based on live traffic	Optimizes logistics based on real-time constraints
Learns to improve ETAs and pricing	Learns to improve forecasts and reduce costs

See It in Action

Curious how Planning in a Box – Pi Agent could transform your supply chain into a real-time, self-optimizing network?
Request a demo and experience how AI-powered agents can anticipate disruptions, optimize inventory, and adapt to market changes before they impact your bottom line.

Breaking Down Data Silos with Seamless Integration

One of the biggest advantages of Planning in a Box – Pi Agent is its ability to connect with a wide range of enterprise systems and data sources:

• ERP Systems: SAP, Oracle, Netsuite and more
• CRM Systems: Salesforce and others.
• Unstructured Data: PDFs, emails, images, videos.
• Google Workspace & Cloud: Google Drive, Gmail, Google Calendar.
• Data Warehousing: BigQuery and multiple databases.

This 360-degree integration eliminates blind spots and enables end-to-end supply chain visibility.

Real-World Use Cases & Business Impact

Organizations adopting this agentic AI approach can move from pilot to production in as little as weeks, with measurable ROI:

1. Inventory Optimization
AI-driven insights prevent overstocking and stockouts, rebalancing inventory proactively.
* Impact: Up to 50% reduction in inventory carrying costs, 50%+ reduction in safety stock.

2. Demand Forecasting
Enhanced predictions by combining historical data with external signals.
* Impact: 10–20% improvement in forecast accuracy.

3. Disruption Scenario Planning
Run “what-if” scenarios to understand financial impacts before events occur.
* Impact: Protects margins and reduces operational risk.

4. Automated Reporting
Generate real-time dashboards for instant visibility.
* Impact: Up to 70% reduction in manual reporting efforts.

5. Defect Detection
Identify potential product issues before they reach customers.
* Impact: Reduces quality-related costs and improves customer satisfaction.

The Future of Supply Chain is Agentic

The future of supply chain management isn’t about better spreadsheets — it’s about intelligent, connected, and autonomous operations.

By combining Planning in a Box – Pi Agent with Google Agentspace, businesses can finally move from reactive problem-solving to proactive supply chain orchestration — achieving a decisive competitive edge in a fast-changing world.