For Strategic Decision Support
Ordinal Science simulates the behavior of P&L line items over multiple years. We study business risks and opportunities under a wide range of possible economic conditions.
Ordinal Science develops digital twins of key business operations to test the impact of considered changes on the strategic performance of the company.
Ordinal Science builds simulations of processes and networks to help our clients evaluate alternative designs and discover optimal approaches.
Ordinal Science builds models to stress-tests business operations to identify weaknesses and mitigation strategies.
simulations use cases
Simulate a conversion from a centralized transportation model to a distributed hub and spoke model. Test the financial efficacy of the new model.
Analyze competing proposals for a national warehouse network and identify the most robust location structure.
Test the viability of the hydrogen production business under a range of possible regulatory regimes, including subsidies, tax credits, and tariffs on foreign imports.
Simulate electric vehicle fleet to validate the potential for the use of EVs on regional beverage distribution routes.
Design a raw material supply simulation to identify indicators for rebalancing hedging vs. spot purchasing strategy.
Develop a digital twin of social programs to identify the high-efficacy path balanced with capacity and availability of financial resources.
Simulate a hospital operation to identify the bottlenecks, then compute a mitigation strategy.
Evaluate PE capital deployment strategies under confounding market conditions and competitive landscape.
We are a team of business professionals, data scientists, mathematicians, and physicists with experience in commercializing academic research and tackling hard problems in the industry.
612 W Main St., Suite 300, Madison, WI 53703