Using Freight Network Optimization in Public Sector Decision Making
Quetica leverages AI and big data optimization models to help public agencies make smarter, data-driven freight planning decisions. Proven by industry to improve supply chain performance, Quetica’s network optimization tools and technologies allow agencies to model demand, explore constraints, and plan multimodal networks from a supply chain perspective.
Our approach is demand-driven, allowing agencies to measure supply chain performance, adapt to changing conditions, and identify freight network investments that:
- Increase Speed
- Improve Reliability
- Lower Overall Costs
- Minimize Highway Crashes
- Decrease Environmental Emissions
- Reduce Congestion
Using advanced algorithms and best practices in supply chain design, we optimize facility locations, sizes, and flow through multimodal transportation networks. The result: quantifiable metrics that support investment decisions, improve transparency, and strengthen public policy.
Responding to Supply Chain Opportunities & Challenges
The approach can be applied to a variety of issues and questions facing public sector freight planners, allowing public policies to be more adaptive and responsive to critical supply chain issues and needs.
- Resiliency + Long-Range Infrastructure Planning
- Assessing Regulatory + Technology Impacts
- Business Development and Site Selection
- Product Processing
- Enhancing Economic Competitiveness
