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

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Explore Pi Agent

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

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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.

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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, what’s allowed, and what’s constrained. This ensures scenarios, recommendations, and actions stay grounded in reality.

Without this layer, AI sees data.

With it, AI understands the business.

The Core Building Blocks

Semantic Definitions

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

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Business Rules

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

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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. Pi.Semantic adapts to yours.

Prebuilt industry models and enterprise extensions allow the digital twin to reflect your structure, constraints, and priorities.

Examples include:

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Retail
product hierarchies

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Manufacturing
BOMs and constraints

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Logistics
and fulfillment rules

Your digital twin evolves as your business evolves.

Why the Digital Twin Matters

The Intelligence Behind Autonomy

Pi.Semantic enables:

Context-aware AI decisions

Less manual rule maintenance

Consistent planning across functions

Faster onboarding of models and agents

Plans that respect real constraints

More human-like reasoning from Pi.Agent

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

What’s Next

Bring Your Data Together

Turn Insights into Action