From source records to multiple governed workspaces.
Each layer has a distinct job. Sources remain evidence; mapping creates identity and meaning; the semantic layer connects the operation; rules, solvers and AI act on it; multiple workspaces reuse that shared foundation for different operational outcomes.
Product, process, resource, material, order, inventory, constraint and industry-specific relations and rules.
Original fields and facts remain systems of record and retain their evidence.
Fields and records are mapped to stable operational identities; duplicates and conflicts are surfaced, not hidden.
Hierarchy, relations, time, versions, effective dates and lineage connect product and process definitions to execution facts.
Rules derive and validate; solvers test feasibility and optimize; AI proposes mappings, explanations and actions.
Each workspace reuses shared identities, relationships, rules, evidence and governance. Supply Chain is live; Plan, Inventory and Sales are views within it.
Configure workspaces with your team. Do not rebuild meaning.
PatternLab works with your team to map existing fields, records and documents into the shared operational model, then configure the workspace, views, roles and controls around the required outcome. AI assists mapping and explanation; every mapping is reviewable, traceable and versioned. This is a guided implementation, not a self-serve builder.
Connect your sources
PatternLab-assisted mapping turns source records into stable operational identities and relationships while retaining evidence.
Shape the operational work
Together we define the workspace views, decisions, validation, roles and approval paths.
Extend the shared layer
Additional workspaces can use the same identities, rules and governance without creating isolated models.
A factory is more than a list of tables.
Plant to operational detail
Enterprise → site → area → line → resource; product family → SKU → specification; order → operation → material requirement.
Product/process and actual event
The designed route is distinct from the work order that executes it. A standard yield is distinct from the yield observed on a particular batch.
Version and effective dates
Know what was true, when it became valid, which plan used it and whether a later correction should affect history or only future decisions.
Lineage, roles and approvals
Every derived fact can explain its sources and rule. Roles define who reviews mappings, publishes plans and approves high-impact changes.
Derive. Validate. Explain. Solve.
Derive what operations already knows.
Use mapped attributes and industry rules to derive routes, eligibility, transitions, dependencies and constraints instead of typing giant matrices.
Prove consistency before action.
Rules test identity, completeness and operational validity. Solvers test whether a proposed world is feasible.
Trace every conclusion.
Show the source evidence, mapping version, rule path and affected objects behind a plan, shortage or promise.
Choose among feasible futures.
Constraint solvers calculate a plan, inventory position or delivery date that respects the shared model and ranked objectives.
One shared foundation. Different operational outcomes.
The live reference implementation is the Supply Chain workspace, with Plan, Inventory and Sales as connected views. Further workspaces are configured with PatternLab against the same semantic layer.
Supply Chain
Connected planning, inventory and order-promising decisions in one governed workspace.
Quality Risk Registry
A potential workspace could connect materials, batches, specifications, deviations and evidence to governed quality-risk review.
Maintenance operations
A potential workspace could connect assets, work history, production dependencies and evidence to maintenance prioritization.