Infrastructure for Supply Chain Scenario Planning & What-If Analysis

Scenario planning requires explicitly documented network configuration parameters, cost structure assumptions, and decision criteria for evaluating strategic alternatives. At L3, supply chain network design principles, cost allocation methodologies, and scenario evaluation frameworks are documented and findable — enabling the AI to model facility closure impacts or supplier diversification strategies against consistent baseline assumptions. Without this, scenario outputs cannot be compared meaningfully because each analysis uses different undocumented assumptions.

Scenario planning models require systematic capture of historical shipment volumes, cost actuals by lane and mode, warehouse throughput data, and demand forecasts from customer accounts. At L3, TMS and ERP workflow templates enforce consistent capture of lane-level cost and volume data that feeds the scenario baseline model. When a customer provides a demand surge forecast, defined intake templates ensure it's captured in the format the planning tool requires rather than arriving as a narrative email.

Network scenario modeling requires consistent schema linking nodes (facilities, suppliers, customers) to lanes (origin-destination pairs), cost components (transport, warehousing, inventory), and constraint attributes (capacity limits, lead times). At L3, all records share required fields enabling the AI to model network configuration changes by modifying node and lane parameters systematically. Scenario comparison dashboards require that baseline and alternative scenarios are structured identically for valid cost-benefit comparison.

Scenario planning requires API access to TMS (historical lane volumes and costs), ERP (financial cost actuals), WMS (warehouse throughput and capacity), and customer systems (demand forecasts). At L3, the scenario planning tool queries these systems programmatically to populate baseline network parameters and cost structures without manual data assembly. This enables planners to run new scenarios against current network data rather than using months-old data exports, improving decision relevance.

Supply chain network configuration, cost structures, and demand forecasts used as scenario planning baselines are reviewed on a scheduled periodic basis — aligned with annual planning cycles and budget reviews. At L2, baseline parameters are updated during quarterly or annual planning sessions rather than triggered by individual events. For strategic scenario planning (facility closures, supplier diversification), planning horizons are measured in months, making scheduled updates sufficient. Real-time freshness is not required for decisions that take quarters to implement.

Scenario planning and what-if analysis requires API-based connections between the network modeling tool, TMS (lane volumes and costs), ERP (financial cost actuals and overhead allocations), WMS (warehouse capacity and throughput), and output systems (executive dashboards, budget planning tools). At L3, these API connections enable the scenario tool to assemble a current network baseline and write scenario comparison outputs to planning systems that finance and operations use for investment decisions.