Machinery Industry, Supply Chain
Identifying Optimal Countries for Engineering Subcontracting
Problem Statement
MachineryCo sought to optimize its global engineering footprint by identifying best-cost countries with strong technical capabilities. However, it lacked a structured view of key sourcing markets and struggled to compare cost-quality trade-offs across regions.
Decision-making was hindered by limited data on talent availability, maturity of engineering hubs, and long-term sourcing risks. Existing sourcing strategies relied heavily on legacy suppliers and intuition rather than a consistent set of benchmarking criteria.
Without a structured assessment, MachineryCo risked missing low-cost, high-skill opportunities, increasing coordination inefficiencies, and under-leveraging global engineering talent pools.
Key Objectives
Benchmark engineering markets across 40+ countries using cost, talent, and infrastructure metrics
Identify best-fit countries by comparing supplier maturity, innovation density, and coordination feasibility
Quantify sourcing trade-offs to guide site selection and de-risk long-term engineering decisions
Outcomes
8
high-potential countries shortlisted. Enabled leadership to focus engineering sourcing strategy on most viable geographies.
30%
engineering cost reduction. Identified low-cost countries with strong technical talent and stable business environment.
50%
faster decision making. Streamlined site selection by consolidating fragmented data into one benchmark view.
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“Helped us move from gut-feel to global strategy.”
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