Data Unification for Supply Chains
We make a data unification platform · For supply chain companies · Who need to harmonize their ERP data and other fragmented, siloed data · So they can optimize revenue and inventory float · For measurable, positive outcomes.
10x
Faster data reconciliation cycles
1
Unified operational data model
0
Manual ERP stitching workflows
Fragmented Data Slows Decisions
Most supply chains still operate across disconnected ERP instances, spreadsheets, and partner systems. That fragmentation makes it hard to trust the numbers, align teams, and execute quickly.
Within-Category Variance
Every team records operations differently. Procurement, production, warehousing, and finance run on disconnected structures that break reconciliation before decisions can be made.
Cross-Industry Variance
ERP ledgers, WMS events, logistics milestones, and external partner feeds speak different data languages. Manual mapping becomes a bottleneck as volume and complexity grow.
Schema & Unit Conflicts
Duplicate records, unit mismatches, timestamp conflicts, and document extraction errors create compounding data debt that slows execution and erodes trust across teams.
How Gödel Works
Beyond static mapping, Gödel employs an evolving knowledge graph coordinated by agentic intelligence autonomously resolving data anomalies at every stage of the physical supply chain.
Ingestion
Farm GRNs · IoT · ERPs · PDFs
Processing
Extractors & Normalizers
Standardization
GS1 / SSCC Mapping
Gödel Core Agent
Multi-modal Intelligence
Knowledge Graph
Provenance-Aware
Output
Tokenization Standard
Ingestion
Farm GRNs · IoT · ERPs · PDFs
Processing
Extractors & Normalizers
Standardization
GS1 / SSCC Mapping
Gödel Core Agent
Multi-modal Intelligence
Knowledge Graph
Provenance-Aware
Output
Tokenization Standard
We make a data unification platform for supply chain companies who need harmonized ERP and partner data to move faster with fewer operational blind spots.
The platform gives operations and finance teams a shared, continuously updated data foundation so they can optimize margin, improve inventory float, and plan with confidence.
6
Pipeline Stages
∞
Schema Adaptations
< 1s
Event-to-Signal
100%
Audit Coverage
What Gödel Unlocks
Faster Time to Value
Connect ERP, WMS, and partner data into one operational model without long data warehouse rebuild cycles.
Lower Manual Reconciliation
Automated conflict handling reduces spreadsheet matching and repetitive cleanup work across operations and finance teams.
One Shared Data Model
Replace fragmented reporting logic with a single trusted model that supports planning, execution, and performance analytics.
Measurable Operating Outcomes
Improve fill rates, reduce stock risk, and increase margin confidence with data that stays consistent from source to dashboard.
Use Cases
Revenue and Margin Visibility
Unify order, inventory, fulfillment, and cost data to give teams a single lens on true margin performance and where value is leaking across the chain.
Inventory Float Optimization
Track inventory movement and aging in one model so planners can reduce excess stock, avoid stockouts, and improve working capital efficiency.
Cross-Functional Operating Cadence
Align operations, finance, and leadership around one live version of events instead of arguing over conflicting exports from different systems.
Faster Integration of New Partners
Bring on new plants, warehouses, or 3PLs faster by mapping their formats into a shared model without rebuilding your entire analytics stack.
Built for the Entire Supply Chain
From procurement to fulfillment, Gödel creates a shared data backbone across teams, systems, and external partners so execution gets faster as your network grows.