Situation
- Historically underinvested supply chain footprint not well positioned to service growing markets
- Complex decision space required considering sourcing thousands of raw materials, intercontinental logistics routing, facility exit costs and capital investment
- Qualitative issues such as political risk, intellectual property security and regulatory environment required additional consideration
Bespoke Solutions
- Partnered with supply chain and operational leaders to review existing supply chain, understand growth markets and survey opportunities
- Synthesized and re-engineered available logistics and manufacturing data to produce machine learning tool that maximizes footprint utility based on given constraints and inputs
- Compiled and analyzed global raw material sourcing data to further supplement analyses
- Compared competitive advantages and payoffs of capital investment in infrastructure across global portfolio
Leading With Results
- Presented multi-dimensional comparison of wide decision space to support large investment decision
- Recommended Condorcet options representing investment savings over $150m
- Transitioned custom-built supply chain optimization tool to support on-going decision making