Supply Chain & Logistics

Cleanse history, segment by variability, and benchmark naive forecasts before fancy models.

Statistical buffers per SKU-class matching stated service levels and lead-time truth.

Pre-ranked responses to supplier/port/demand shocks with decision authority mapped.

OTIF, quality, responsiveness, and cost trends driving development or exit decisions.

Accessorial charges, mode mix, and lane benchmarking recovering recurring overspend.