Optimized freight networks, redesigned shipment consolidation, and KPI-driven performance systems — work that translated into multi-million-dollar structural cost reductions. The know-how is demonstrated below through seven live, interactive simulators.
A digital replica of a real freight network — facilities, order data, equipment types, HOS constraints — searching for the best consolidation structure. Seed-based LTL→FTL and multi-stop conversion, live out-of-route and percent-full computation, and a Construction → Break → Move/Swap algorithm loop.
Everyday operational inefficiencies — out-of-territory shipping, warehouse transfers, after-cutoff rush orders — quantified as chain reactions: tender rejection → spot premium → cost-per-cube → OTD/OTIF. Rule-based simulation exposes the hidden cost of breaking cut-off and MOQ discipline.
Historical volume, fuel surcharge, contract tariffs and market volatility combined into forward budgets. Stress-test fuel spikes, spot surges and peak-season floods; find the optimal dedicated/spot fleet mix; run 1,000-trial Monte Carlo for P10/P50/P90 confidence bands.
“Eliminate inefficiency with precise analysis — then build the system that keeps it eliminated.”
Redesigned lane structures and freight consolidation processes across the transportation network, driving sustained operational efficiency gains.
Built and deployed metric-centered logistics performance tracking, establishing organization-wide visibility into cost and service.
Directed logistics cost forecasting and budget planning, combining historical analysis with predictive modeling.
Network diagnostics, consolidation redesign, KPI system builds, freight budget modeling — start with a conversation about where your cost structure is leaking.
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