Supply Chain Management Business Data Model: AI-Ready Edition

The Supply Chain Management Business Data Model: AI-Ready Edition is for CIOs, architects and transformation leads who need to know what information supply chain work runs on before an AI agent touches it. It covers 16 subject areas, 118 entities, 714 key attributes and 414 relationships. Every entity and key attribute is classified for sensitivity, with the AI uses and data-quality requirements an agent depends on. It is the data-model part of Business Architecture for Supply Chain Management: AI Transformation Blueprint, sold on its own.

What's Inside

The same model comes in three files: the full model in Word, a workbook to filter and extend, and a guide to the scales and the license.

• 16 subject areas and 118 entities, each with a definition, its typical system of record, sensitivity class, AI uses and data-quality requirements
• 714 key attributes with sensitivity and AI relevance, and 414 relationships with cardinality
• Under each entity, the capabilities that need it and the agents that read it, by name and ID
• The Business Data Model (Word): every subject area and entity in full
• The workbook (Excel): subject areas, entities, attributes and relationships in sheets you can filter and extend
• The guide (Word): the scales the model refers to, the data foundation, and the license
• Free corrections, and new versions free for 180 days

Every file names your organization and carries your license ID.

The 16 Subject Areas

The 118 entities are grouped into 16 subject areas. The list gives what each holds and how many entities it has.

• Organization & Network (7 entities): The legal, management and physical structure the supply chain runs on: legal entities, business units, sites, plants, distribution centers, storage locations and supply chain segments.
• Products & Items (7 entities): What the enterprise makes, buys, stores and sells: products, items, bills of materials, routings, specifications, packaging and the item-location settings planning depends on.
• Suppliers, Customers & Partners (7 entities): The external parties the supply chain works with: suppliers and their sites, customers and their delivery locations, carriers, logistics service providers and the people at each.
• Demand (6 entities): Forecasts, demand signals, the consensus demand plan, accuracy measures, promotions and customer collaboration plans.
• Supply & Inventory Planning (7 entities): The supply, production and inventory plans and the parameters behind them: supply plans, the sales and operations plan, scenarios, inventory policies, replenishment parameters, master production schedules and planned orders.
• Sourcing & Contracts (8 entities): Category management, sourcing events, bids, awards, contracts, contract prices and obligations.
• Purchasing & Payables (8 entities): Requisitions, purchase orders, confirmations, receipts, supplier invoices, payments and supplier bank accounts.
• Supplier Management (6 entities): Supplier qualification, scorecards, risk assessments, improvement plans, capacity commitments and responsible sourcing assessments: the evidence behind decisions about which suppliers the enterprise relies on.
• Production & Maintenance (8 entities): Production orders and confirmations, material consumption, scrap, production assets, maintenance work orders, equipment condition readings and spare parts.
• Quality & Traceability (7 entities): Inspection plans and results, nonconformances, corrective actions, lots, serial numbers and product recalls.
• Inventory (5 entities): Inventory balances, transactions, transfers, cycle counts and excess and obsolete reviews: the record of what stock exists, where, in what status and at what value.
• Orders, Fulfillment & Returns (8 entities): Sales orders, delivery promises, allocations, pick tasks, shipping packages, return authorizations and dispositions, from customer commitment to warehouse execution and back.
• Transportation & Trade (13 entities): Loads, shipments, routes, freight rates, tenders, tracking events, proof of delivery, freight invoices and claims, and the trade records that let goods cross borders: classifications, trade documents, party screening results and duty assessments.
• Risk, Compliance & Sustainability (7 entities): Supply chain risks, disruption events, continuity plans, compliance obligations, audit findings, emissions records and sustainability targets.
• Performance, Cost & Workforce (8 entities): KPI definitions and measurements, cost-to-serve, budgets, improvement initiatives and the workforce plans, labor standards and labor time records of supply chain operations.
• AI & Digital Labor Governance (6 entities): The inventory of AI systems and agents, the log of what agents did, records of AI-informed decisions, model validation and human review.

Who Uses It

Data owners and stewards, data architects, and AI and analytics engineers who need to know what an agent may read, how sensitive it is and how good it must be first; and business architects who link capabilities to data.

How It Fits With the Other Products

The capabilities named under each entity are defined in the Supply Chain Management Capability Model: AI-Ready Edition. The agents are specified in Business Architecture for Supply Chain Management: AI Transformation Blueprint, which contains this data model and adds the value streams, use cases, controls, an operating model and a roadmap. The Supply Chain Management Value Streams are sold on their own too.