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Transportation Profitability & Service Reliability
An independent case study analyzing 1,200 simulated shipments across six transportation lanes using Python and SQL. The analysis compares revenue, direct costs, contribution margins, on-time performance, and service exceptions to identify lanes requiring closer pricing or operational review.
Includes reproducible calculations, lane scorecards, and an illustrative target-margin scenario. All data is synthetic; results do not represent employer performance or realized savings.
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