📚 Logistics calculators
The logistics calculators cluster covers supply-chain service, cycle-time, and capacity math: on-time delivery rate, OTIF, order fill rate, perfect order rate, freight damage rate, inventory turnover, warehouse capacity utilization, fleet load factor, picking accuracy, return rate, dock-to-stock time, order cycle time, backorder rate, inventory days of supply, empty mile percentage, on-time pickup rate, shipping cost per order, and inventory accuracy rate—each on a single-intent URL.
Run logistics and supply-chain KPI math in one place: on-time delivery, OTIF, fill rate, perfect order, damage rate, inventory turns, warehouse utilization, fleet load factor, picking accuracy, and return rate—plus Wave 2 tools for dock-to-stock, order cycle time, backorder rate, days of supply, empty miles, on-time pickup, shipping cost per order, and inventory accuracy. Keep WMS/TMS definitions identical to the calculator labels.
Key facts
| Primary audience | Logistics, warehouse, transportation, and supply-chain analysts |
|---|---|
| Core formulas | Service rates (OTD/OTIF/fill), cycle time & DOS, empty miles, inventory accuracy, capacity utilization |
| Category | Logistics / supply chain / warehousing |
| Related hubs | Business; Professional KPIs; Real Estate (occupancy-style utilization) |
Definitions
OTIF
On-time in-full—orders delivered by the promised window with complete quantity (and often correct SKU/docs per policy).
Fill rate
Share of ordered demand that was shipped or fulfilled in the period (units shipped ÷ units ordered).
Inventory turnover
COGS (or usage) divided by average inventory—how many times stock turns in the period.
Days of supply (DOS)
Average inventory divided by daily COGS (COGS ÷ 365)—roughly how many days of cover you hold at recent usage.
Formulas
- OTD %: (on-time shipments ÷ total shipments) × 100
- OTIF %: (OTIF orders ÷ total orders) × 100
- Fill rate %: (units shipped ÷ units ordered) × 100
- Inventory turns: COGS ÷ average inventory
- Warehouse utilization %: (used ÷ total capacity) × 100
- Return rate %: (returns ÷ orders) × 100
- Dock-to-stock: total dock-to-stock hours ÷ receipts
- Order cycle time: total cycle time ÷ orders
- Backorder %: (backordered lines ÷ total order lines) × 100
- Days of supply: average inventory ÷ (COGS ÷ 365)
- Empty mile %: (empty miles ÷ total miles) × 100
- On-time pickup %: (on-time pickups ÷ total pickups) × 100
- Shipping cost/order: shipping spend ÷ orders shipped
- Inventory accuracy %: (correct locations ÷ locations counted) × 100
Comparison table
| Topic | Guidance |
|---|---|
| OTD vs OTIF | OTD is timing only; OTIF also requires in-full quantity (and often clean docs). |
| Fill rate vs perfect order | Fill rate is quantity fulfilled; perfect order fails on any checklist defect. |
| Warehouse vs fleet utilization | DC space fill vs vehicle payload/cube load factor—different capacity stories. |
| Turns vs days of supply | Turns = COGS ÷ inventory; DOS ≈ 365 ÷ turns—same stock story in days vs velocity. |
| OTD vs on-time pickup | OTD is delivery arrival; OTP is the pickup appointment—late pickups often cascade into late deliveries. |
| Empty miles vs load factor | Empty mile % is deadhead share of miles; load factor is payload/cube fill on loaded moves. |
Glossary references
Reinforce entities by pairing percent language with conversion pages when learners mix fractions, decimals, and ratios.
❓ Frequently Asked Questions
What is the difference between OTD and OTIF?
On-time delivery tracks arrival timing. OTIF requires on-time and in-full (complete quantity) per your policy.
Is inventory turnover a percentage?
No—it is a ratio (turns). Convert to approximate days of inventory with 365 ÷ turns, or use the days-of-supply calculator directly.
What did Wave 2 add for cycle time, DOS, and empty miles?
Dock-to-stock and order cycle time averages, backorder rate, inventory days of supply, empty mile percentage, on-time pickup rate, shipping cost per order, and inventory accuracy rate.
Do these replace WMS/TMS reports?
No. They compute standard formulas from your exported counts—source systems remain authoritative.