Supply Chain Simulation, Network Optimization & Real-Time Digital Twin
Start with Simcad® Digital Twin and Simulation to model, analyze and optimize supply-chain flows offline. Then extend that validated operational model into Digital Twin Studio® to connect live TMS, WMS, ERP, inventory, transportation, facility and order data—creating a continuously updated Supply Chain Digital Twin for end-to-end visibility, prediction, AI-assisted optimization and operational orchestration.
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A Continuous Supply Chain Digital Twin Lifecycle
Supply-chain performance depends on the interaction of suppliers, facilities, inventory, transportation, demand, capacity, lead time and disruption risk.
Simcad® provides the desktop environment for supply-chain modeling, simulation, scenario analysis and offline optimization. Test network design, inventory strategies, transportation plans, distribution capacity and disruption scenarios before changing the live network.
Digital Twin Studio® extends that validated operational model into a web-based connected environment. Live TMS, WMS, ERP and network data can update the Digital Twin so teams can monitor current conditions, predict delays and shortages, evaluate alternatives and use AI-assisted optimization.
For offline network and transportation analysis, explore Logistics Simulation Software and Simcad® Digital Twin and Simulation. For connected live operations, see Digital Twin Studio®.
End-to-End Supply Chain
From Offline Optimization to Live Network Intelligence
Use one validated operational model across network design, scenario analysis, connected visibility and AI-assisted optimization.
Model suppliers, facilities, inventory, transportation, demand, orders, lead times and network constraints in Simcad®.
Compare scenarios and improve network capacity, inventory positioning, transportation plans, service levels and operating cost.
Extend the validated model into Digital Twin Studio® and connect live orders, inventory, facilities, shipments, transportation and enterprise data.
Use Digital Twin Studio® Intelligence to forecast constraints, evaluate alternatives and support proactive network decisions.
Supply Chain Optimization
Evaluate decisions across interconnected facilities, inventory and transportation flows so local improvements do not create downstream problems.
Compare facilities, lanes, production and distribution capacity, service regions and multi-site alternatives before making long-term changes.
Evaluate where inventory should be held, replenished or repositioned to balance service, capacity, risk and operating cost.
Analyze routes, shipment timing, carrier performance, consolidation and network movement across inbound and outbound flows.
Test growth, seasonality, product mix and demand changes across the network before they affect facilities and transportation.
Evaluate lead times, fulfillment risk, shipment delays and service targets against realistic operational constraints.
Test supplier interruption, facility loss, transportation delays, capacity shortages and alternate sourcing or routing strategies.
Transportation & Distribution
Connect manufacturing, warehousing and transportation decisions into one network model so shipment and distribution strategies can be evaluated in context.
Inventory & Replenishment
Evaluate inventory and replenishment policies against demand variability, facility constraints and transportation performance.
Connected Supply Chain
Digital Twin Studio® extends the validated Simcad® model into browser-based connected operations. Live and historical data can update the twin so teams can compare current network performance to expected behavior and likely future states.
Supply Chain ROI
Representative improvement metrics highlighted on the current CreateASoft supply-chain industry page.
Connected Supply Chain Digital Twin
Offline simulation answers what could happen. A connected Supply Chain Digital Twin adds what is happening now and what is likely to happen next.
Digital Twin Studio® Live provides browser-based current-state visibility, dashboards, KPIs and traceability across facilities, inventory and transportation.
Digital Twin Studio® Intelligence extends the connected model with predictive analytics, AI-assisted what-if analysis, recommendations, optimization and controlled orchestration.
One Model Across the Lifecycle
One Continuous Technology Path
Offline: network modeling, transportation simulation, inventory analysis, scenario testing and supply-chain optimization.
Explore Simcad® →
Real time: connect the validated network model to TMS, WMS, ERP, shipment and inventory data for web-based monitoring and traceability.
Explore Digital Twin Studio® Live →
Predictive and AI-driven: forecast disruption and optimize inventory, routes, schedules, capacity and network response.
Explore Digital Twin Studio® Intelligence →
Supply Chain Digital Twin FAQ
The network is first modeled and optimized in Simcad®. After validation, the model can be extended into Digital Twin Studio® and connected to live TMS, WMS, ERP, inventory, shipment and facility data for current-state visibility, prediction and ongoing optimization.
Supply chain simulation evaluates proposed network behavior offline. A connected Supply Chain Digital Twin extends the validated model with live operational data so teams can monitor the current network, forecast future conditions and evaluate responses to disruption or demand changes.
Typical connections include TMS, WMS, WES, ERP, order systems, inventory databases, carrier and shipment feeds, APIs and other operational data sources.
Yes. A connected model can evaluate demand, inventory, facility capacity, transportation status, lead times and current constraints to project where shortages, delays or service risks may develop.
Digital Twin Studio® Intelligence can evaluate current and projected network conditions against transportation capacity, routes, costs, timing and service requirements to compare alternative plans.
Digital Twin Studio® Intelligence combines live and historical network data with the operational context of the Digital Twin to forecast future conditions, identify constraints and support optimization of inventory, routing, schedules, capacity and disruption response.
Yes. Simcad® can model supplier interruption, facility loss, transportation delays, capacity shortages and alternate sourcing or routing strategies before those conditions occur in the live network.
The intended architecture is to use the validated operational model across the Digital Twin lifecycle. Simcad® provides the desktop simulation and optimization foundation; Digital Twin Studio® extends that model into web-based connected operations and AI-assisted intelligence.
Supply Chain Simulation & Digital Twin
Prove and optimize supply-chain strategies in Simcad®. Then take the validated model live with Digital Twin Studio®—connecting real network data for continuous visibility, prediction, AI-assisted optimization and real-time decision support.
Analyze and optimize transportation routes to ensure goods are delivered on time while reducing fuel costs and maximizing truck capacity.
Leverage real-time data to identify the best carriers based on cost, on-time performance, and capacity, ensuring reliable and cost-effective deliveries.
Determine which shipments should be sent to consolidation centers and which should be delivered directly, optimizing both speed and cost.
Predict seasonal fluctuations and adjust shipping schedules, inventory levels, and carrier assignments to meet demand without unnecessary cost increases.
Gain full visibility into every aspect of your supply chain—from inventory levels to shipment progress—allowing you to respond quickly to disruptions and delays.
Optimize inventory distribution across multiple warehouses and fulfillment centers, ensuring stock is in the right place to meet customer demand.
Use predictive analytics to ensure on-time deliveries by adjusting schedules, routes, and resources based on real-time conditions and forecasts.
Identify potential disruptions in the supply chain before they occur, allowing you to reroute shipments, adjust schedules, and avoid costly delays.
