Sourcing Optimization Simulator

View as:
Sigmoid

Digital Twin Builder

Integrate, validate, and prepare a simulation-ready digital twin of all ingredient batches

Feature Coverage
87%
+3% this week
Reliability Score
94.2%
Above target
Active Suppliers
24
2 pending review
Last Data Refresh
2h ago
Auto-refresh ON
Simulation Readiness
PARTIALLY READY
Overall readiness72%
Quality data updated recently
Logistics data incomplete - may affect allocation feasibility

Demo Mode

Load a realistic chocolate sourcing dataset to explore the simulator

Data Inputs to Digital Twin

Procurement System

Purchase orders, contracts and pricing

Connected
Last sync: 15 min ago

Quality / Lab Data

QC test results, fat %, moisture, flavour, contaminants

Connected
Last sync: 1 hour ago

Supplier and Traceability

Supplier profiles, origin, certifications (RA, Organic)

Pending
Last sync: -

Logistics / Shipment Data

Shipment tracking, lead times, ETA

Error
Last sync: Failed 3h ago

Demand and Production Plan

SKU demand forecast (6-18 months), master production schedule

Used for optimization and production planning
Pending
Last sync: -

Data Health and Decision Impact

3 suppliers missing certification data
May impact sustainability-compliant sourcing decisions
Quality data last updated 2 days ago
May impact quality prediction accuracy
Procurement data fully validated
All contracts and pricing aligned for optimization
Logistics API returning partial data
Allocation feasibility and lead-time assumptions may be impacted
Digital twin successfully created. Proceed to Batch Intelligence.
Go to Batch Intelligence