Your Supply Chain Is Not a Spreadsheet — It’s a Ride-Share Network Waiting to Happen

Blog / Your Supply Chain Is Not a Spreadsheet — It’s a Ride-Share Network Waiting to Happen

For decades, supply chain planning has been stuck in a rigid monthly cycle. Teams build a forecast, push it into a legacy ERP or planning system, and then spend the next four weeks wrestling with spreadsheets as reality inevitably changes.

This static approach means up to 80% of actual planning still happens in Excel, leaving teams in constant firefighting mode rather than driving proactive, strategic decisions.

But imagine if your supply chain could operate with the same real-time intelligence as a ride-share network — sensing demand surges like Uber detects rider spikes, and automatically dispatching the right inventory, from the right location, at exactly the right moment.

This is no longer a “what if.” We began proving this concept back in 2017, and today, it’s a reality across global customers. Through the power of Agentic AI, your supply chain can now be continuous, responsive, and intelligent.

From Static Plans to a Living Digital Twin

The core of this transformation lies in shifting from a transactional “system of record” to a living, breathing digital twin of your entire supply chain.

This is the mission of our Planning in a Box – Pi Agent, built on the strong foundation of Google Cloud and Agentspace.

Rather than relying on your ERP (like SAP, Oracle, or NetSuite) as the final word, Pi Agent acts as a real-time AI intelligence layer on top. It leverages the Google Cloud Cortex Framework to integrate all your structured and unstructured data into a unified Master Ledger in BigQuery.

The result? A synchronized, single source of truth — a real-time control tower for your supply chain.

Agentic AI: Your New Digital Supply Chain Workforce

Here’s where the transformation becomes tangible. Google Agentspace provides an environment for a new kind of digital workforce — specialized AI agents that collaborate to manage and optimize your supply chain in real time.

Think of it like this:

• A Development Kit (ADK) allows creation of agents for specific tasks—like “Ron” for deep demand analysis, “Kassy” for inventory optimization, and “Alex” for financial balancing.
• An Agent-to-Agent (A2A) Protocol lets them communicate seamlessly. Ron detects a demand spike, tells Kassy to reposition inventory, and Alex calculates the cost impact — instantly.

This is the ride-share-like model in action. Planning in a Box – Pi Agent isn’t just a dashboard — it’s an orchestrated network of intelligent agents sensing market signals, reallocating resources, and making proactive decisions.

See Your Supply Chain in Action

The shift from static to intelligent supply chain planning isn’t a multi-year overhaul—it can start now, with measurable results in weeks.
Request a demo to see how Planning in a Box – Pi Agent can connect your data, agents, and decision-making into one responsive network.

The 2:10 Rule: Making Transformation Achievable

At Pluto7, we follow the 2:10 Rule — achieving a 10% planning error reduction that translates into a 2% revenue improvement by solving one critical business problem at a time.

Take the example of a Latin American CPG manufacturer. Instead of trying to transform their entire operation overnight, we focused on one pain point: inventory visibility.

By deploying Pi Agent, they:

• Gained real-time, natural language access to inventory data.
  
• Are on track to reduce excess inventory by 15%.
  
• Cut manual reporting time by 70%.
  

As more problems are solved, the results compound—our customers see 10–20% improvements in forecast accuracy, up to 50% reductions in inventory carrying costs, and margin increases exceeding 10%.

The Future of Supply Chain Planning Is Already Here

Agentic AI isn’t a distant promise — it’s here, empowering supply chain planners with foresight, speed, and adaptability. The era of siloed, reactive planning is over.

With Google Cloud’s Agentspace and our Planning in a Box – Pi Agent, your business can break free from rigid, legacy processes and move into an era of intelligent, responsive, and continuously learning supply chain operations.