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AI-Ready Semantic Data Layer

The Digital Twin Layer
of Planning in a Box

A living model of your business that captures how data, rules, and relationships connect—so every plan and decision reflects how your supply chain truly operates.

Models real-world entities and relationships
Applies business logic and constraints
Enables context-aware reasoning for AI and agents
← Part of the Planning in a Box Platform
👤Customer
📦Product
📍Location
🏭Supplier
📋Order
📊Inventory
Pi.SemanticDigital Twin

Pi Agent Available on - Gemini Enterprise

A Unified View of Your Business

Pi.Semantic creates a digital representation of your supply chain—beyond raw data. Customers, products, suppliers, locations, inventory, and orders are modeled along with how they interact. This becomes the shared logic layer used by intelligence and agents to reason and decide.

Your business, represented in a form machines can understand and teams can trust.
Pi.Semantic Digital Twin

How the Digital Twin Works

Pi.Semantic sits above the data foundation and gives it meaning. It defines entities, relationships, and rules so the system understands what's connected.

Without Semantic Layer

AI sees raw, disconnected data.

  • Data silos prevent context
  • Hardcoded, rigid rules
  • Manual mapping effort

With Semantic Layer

AI understands your business.

  • Context-aware logic
  • Dynamic entity relationships
  • Intelligent, real-world reasoning

The Core Building Blocks

Structure, map, and govern your supply chain data effortlessly.

📖

Semantic Definitions

Standard definitions for customers, products, suppliers, locations, and more—creating a common language across systems and teams.

⚖️

Business Rules

The logic that governs behavior across the network, including lead times, capacities, sourcing rules, and prioritization policies.

🔗

Data Catalog & Relationships

A structured map of entities, attributes, and relationships, showing how changes flow across the supply chain.

Adapted to Your Industry

No two supply chains are the same. Prebuilt industry models allow the digital twin to reflect your structure, constraints, and priorities.

🛒

Retail

Product hierarchies and omni-channel logic

🏭

Manufacturing

BOMs, constraints, and production lines

🚚

Logistics

Fulfillment rules and transportation networks

📦

CPG

Consumer demand and inventory balancing

Hi-Tech

Rapid lifecycles and component tracking

Why the Digital Twin Matters

The Intelligence Behind Autonomy

  • 🎯
    Context-aware AI decisions

    Enabling models to understand the 'why' behind the data.

  • ⚙️
    Less manual rule maintenance

    Dynamic logic adapts as your supply chain evolves.

  • 🤝
    Consistent planning

    Align across all business functions with a single truth.

  • 🚀
    Faster model onboarding

    Bring AI agents online quicker with pre-structured logic.

  • 📐
    Plans that respect real constraints

    Business rules and limits are embedded into every plan and recommendation.

  • 🤖
    More human-like reasoning from Pi.Agent

    Agents understand context, not just data—leading to decisions teams can trust.

"Autonomy starts with understanding. Pi.Semantic delivers that understanding."

Get Started

Build Your Semantic Foundation
for AI-Driven Planning

Bring your data together and turn insights into actionable intelligence with Pi.Agent.