Foundation
Trusted semantic foundation
Create one canonical supply chain model across fragmented operational data, without rebuilding semantics domain by domain.
Databricks-native supply chain intelligence
Turn lakehouse data into supply chain intelligence.
True Schema discovers the supply chain data already in Databricks, maps it into a trusted canonical model, and activates prebuilt operational intelligence across inventory, demand, procurement, warehousing, transportation, finance, sales, and more. Reduce the path from lakehouse data to operational intelligence without another long transformation project.
Map once. Understand once. Activate everywhere.
Built for Databricks-native deployment
Designed to activate in days, not months
Product
Supply chain intelligence
Activate prebuilt control towers across the domains your business already has data for in the lakehouse.
Business value
Prioritized operations
Surface risks, exceptions, recommendations, and accountable work before they disappear into static reports.
The engine behind the intelligence
One semantic foundation for the entire supply chain.
True Schema discovers operational data, identifies business meaning, resolves relationships and grain, and maps source systems into canonical supply chain contracts. Those contracts become the trusted gold layer shared by every control tower.
Snapshot 01
Assessment and activation view
See where True Schema already understands your business and which operational domains are closest to activation.
Free Assessment
Find your best first activation path
See which control towers your existing lakehouse data can support now and what remains to unlock next.
Domains Recognized
9
Immediate activation
Inventory
Next towers ready
4
Readiness by domain
Inventory96% ready
Procurement91% ready
Transportation88% ready
Assessment outcome
4 domains can activate immediately
Warehouse fit and blockers identified
Next best control tower prioritized
Snapshot 02
Semantic Studio mapping view
Confirm how True Schema understands your business, then turn raw source structure into reusable intelligence.
Semantic Studio
Confirm how True Schema understands your business
Review source meaning, validate the canonical model, and stage the gold layer shared by every control tower.
Semantic coverage
78%
Canonical inputs
14
Strongest first tower
Inventory
Business meaning confirmed
on_hand_qtyOH_AVAILABLE
item_idMATNR
location_idPLANT
Gold-layer readiness
Mappings confirmed
Dimensions and grain resolved
Trusted outputs ready for activation
From data to meaning to intelligence
A clear path from bronze data to operational intelligence.
True Schema makes the architecture understandable to both operators and data leaders. Bronze captures operational reality, silver establishes canonical supply chain meaning, and gold activates control towers, signals, recommendations, and prioritized work.
Raw source reality
ERP, WMS, TMS, OMS, and planning data as it exists today across the lakehouse.
Canonical supply chain meaning
Shared business definitions, grains, relationships, dimensions, and metrics built on one semantic foundation.
Operational intelligence
Prebuilt control towers, signals, recommendations, and prioritized action queues that teams can use every day.
Operational Intelligence Suite
One semantic foundation. Nine supply chain control towers.
Each control tower uses the same canonical supply chain model, so new domains do not require rebuilding the intelligence stack from scratch. Inventory is the strongest live proof point today, with the broader suite powered by the same reusable semantic architecture.
Know what requires attention before the morning operating meeting
Surface stockout risk, aging inventory, replenishment needs, count discrepancies, excess inventory, and prioritized actions from existing lakehouse data.
Spot demand shifts before they hurt planning
Monitor forecast movement, coverage gaps, volatility, and promotion performance from a shared semantic model.
Flag supplier risk earlier
Bring supplier performance, cost exposure, capacity, and purchase-order context into one trusted operating view.
Expose execution exceptions fast
Track delivery risk, freight cost exposure, carrier performance, and network friction with shared business definitions.
Keep execution aligned to plan
Monitor schedule risk, equipment reliability, process efficiency, and output variance through the same control model.
Catch quality drift earlier
Connect inspections, customer quality signals, and compliance exceptions before they become operational or customer issues.
See flow and constraint points clearly
Track throughput, capacity, accuracy, labor, and backlog trends inside the warehouse with trusted semantic visibility.
Connect commercial signals to supply chain reality
Bring order, revenue, customer experience, and service signals into the same operating picture as the network.
Tie operations to financial outcomes
Relate supply chain performance to margin risk, working capital, cost exposure, and invoice integrity with shared definitions.
From signal to accountability
Dashboards show what happened. True Schema shows what to work on.
True Schema prioritizes exceptions and recommended actions so teams know what requires attention first. Pro workflow layers can add ownership, status, notes, resolution history, and write-back patterns so leaders can see whether the work gets done.
Signals and risks
Surface metrics, exceptions, and pressures emerging across the supply chain.
Recommended action queues
Rank what matters first so teams stop losing time reconciling reports and deciding where to look.
Ownership and follow-through
Create an operating workload with owners, status, notes, and future write-back extensibility where supported.
Free Assessment
Discover how much supply chain intelligence you already have.
The free supply chain assessment answers a broader question than simple data quality: how much operational intelligence is already hiding in your lakehouse, what can activate now, and what is blocking the next wave.
How the assessment works
1
Inspect the supply chain data already in the lakehouse
Review source structure, domain coverage, and the operational objects already present in Databricks.
2
Measure semantic fit and identify blockers
See where naming, coverage, relationships, and metric readiness are already strong and what inputs are missing.
3
Prioritize the best activation path
Focus on the domain where True Schema can create measurable operational and financial impact fastest, then see what can turn on next.
Example readiness view
Inventory
Control tower can activate immediately with strong semantic coverage.
Procurement
High readiness with a small number of remaining inputs to validate.
Warehousing
Strong foundation with a few missing inputs before full activation.
Immediate activation opportunities
4 domains
Biggest blockers surfaced
5 missing inputs
Next best activation path
Transportation
Readiness by domain
Missing inputs and blockers
Clear path to activation