PARTIAL DASHBOARD — proxy metrics: No order-to-shipment join key exists in the schema. Per-order OTD is not computable. On-time % is a period-level proxy: 1 − (Past-Due Qty / (Shipped Qty + Past-Due Qty)). Quoted lead time (FACT_ORDERS.LEAD_TIME_DAYS) is the promised duration at order placement, not actual fulfillment time.
FY25 Fulfillment KPIs
Quoted Lead Time Trend by FY
Average promised lead time in days at order placement. Fleet-wide stability at ~43.7 days suggests customer commitment discipline.
OTD Proxy by FY
1 − (Past-Due / (Shipped+Past-Due)). FY23 correction dip visible (97.8%); FY25 recovered to 99.4%.
Lead Time by Category — FY25
Category lead times converge at ~44d — Pareto-weighted MCU dominance pulls the mean.
Lead Time by Priority — FY25
Quoted LT barely differentiates by priority in the data — Falcon prices speed via ship-method, not quoted LT.
Lead Time Distribution — FY25
Order count by quoted-LT bucket (days). Bimodal: clustering at 30d (expedite) and 45-60d (standard).
FY25 Ship-Method Mix (volume)
Air Freight 29.9% · Air Express 25.1% · Ground 25.0% · LTL 10.0% · Ocean 10.0% — Air dominates at 55% combined.
Revenue by Ship Method — FY25
$3.71B split by method. Air Freight carries 30% of revenue — cost implications for blended GM%.
Ship-Method × Category — FY25 Detail
| Method | Dominant Category | Shipments | Revenue ($M) | Volume Share | Avg Lead Time | Typical Use |
|---|
Lead Time & Fulfillment · xFalcon AnalyticsPro · Partial dashboard (proxy metrics) · Data as of 2026-04-23