Network Modeling and Optimization helps organizations design, evaluate, and continuously refine their end-to-end supply chain and distribution networks. By combining advanced optimization algorithms, scenario modeling, and real-world data, Modeling identifies the most efficient and resilient configuration of plants, warehouses, and transportation flows to meet customer demand at the lowest total cost.
Through data-driven analysis and digital modeling, organizations can simulate what-if scenarios that test strategic and tactical decisions—such as facility locations, sourcing options, customer assignments, and inventory positioning. These insights reveal the impact of potential changes on cost, service levels, lead times, and carbon footprint, enabling smarter and faster decisions across the enterprise. Once a model is established, it can be maintained and consistently leveraged for evaluating changes in business conditions, or as a tool to consider impacts of M&A for shippers, or the impact of adding volumes to existing routes for an LSP.
Modern network modeling platforms use in-memory optimization engines, scenario-based simulation, and machine learning to evaluate hundreds of potential designs in minutes. This empowers leadership teams to move beyond static spreadsheets toward data-driven network design that balances cost efficiency, responsiveness, and resilience.
Network optimization programs often deliver a 10–20% reductions in logistics and operating costs, improved service reliability, and enhanced agility to adapt to market shifts, disruptions, or growth. The service empowers leadership teams with a clear, data-backed roadmap to support long-term network strategy and short-term operational optimization.
Our approach network modeling and optimization:
Consolidate transportation, warehousing, inventory, and demand data to create a digital model of the current supply chain network.
Develop and test what-if scenarios for new facilities, sourcing strategies, service policies, or market growth plans.
Use mathematical optimization to determine optimal facility locations, flow paths, and service zones based on cost and service goals.
Deliver actionable insights and an implementation roadmap aligned with business priorities.
Continuously evaluate the network as conditions change, ensuring performance remains optimized over time.
