Your inventory is high but service levels remain insufficient. Your teams plan, but emergencies keep piling up. Suppliers deliver, but never at the right time. These symptoms share a single root cause: you’re not tracking the right indicators, or you’re not measuring them correctly.
Here are the 10 essential supply chain KPIs — exact formulas, industry benchmarks, and concrete levers for each.
An industrial company that doesn’t measure its supply chain performance makes decisions blind. Too much inventory costs capital. Too little costs lost sales. Inaccurate forecasts contaminate the entire chain — from procurement to delivery.
The rule is simple: you can only improve what you measure. And you can only measure what you clearly define.
The king of customer satisfaction metrics.
OTIF measures the percentage of orders delivered on time, in full, without anomaly. It’s the most comprehensive indicator because it captures both punctuality and completeness simultaneously.
Formula:
OTIF = (Compliant orders delivered / Total orders) × 100
Industry benchmark: > 95% (world class: > 98%)
Why it drops: Inaccurate forecasts, stockouts, production capacity issues, supplier failures, unexpected transport disruptions.
Improvement levers:
ALICOG Expert Note — An OTIF of 82% may seem acceptable, but it hides 18% of orders generating penalties, lost customers and damaged reputation. In automotive, dropping below 95% can trigger contractual clauses.
The percentage of demand served immediately from available stock.
Unlike OTIF which measures final delivery, Fill Rate measures what ships from stock at the moment of order — with no additional delay, no substitution.
Formula:
Fill Rate = (Lines served immediately / Total ordered lines) × 100
Industry benchmark: > 98% (distribution: > 99%)
Watch out: High Fill Rate with low OTIF points to logistics or transport issues. Low Fill Rate with acceptable OTIF indicates partial deliveries compensated by replenishments.
The efficiency of your capital tied up in stock.
Formula:
Turnover = Annual cost of goods sold / Average inventory value
Benchmarks by sector:
| Sector | Target turnover |
|---|---|
| Automotive | 12 to 20× |
| Food & Beverage | 20 to 40× |
| Manufacturing | 6 to 12× |
| Distribution | 8 to 15× |
Caution: Too-high turnover increases stockout risk. The goal is not to minimize inventory at all costs, but to optimize it.
The number of days of demand your current stock can cover.
Formula:
DSI = (Average inventory / Annual consumption) × 365
Benchmark: 15 to 45 days depending on sector and strategy. Too low: stockout risk. Too high: capital unnecessarily tied up.
The key indicator of your planning quality.
Forecast Accuracy directly conditions your OTIF, safety stocks and production capacity. Poor forecast precision is often responsible for 60 to 70% of supply chain issues.
Formula:
Forecast Accuracy = (1 - |Actual sales - Forecasts| / Actual sales) × 100
Or using MAPE (Mean Absolute Percentage Error):
MAPE = (|Actual - Forecast| / Actual) × 100
Forecast Accuracy = 100% - MAPE
Benchmark: > 80% (world class: > 90%)
Levers:
Key takeaway — A 10-point improvement in Forecast Accuracy reduces safety stocks by 15 to 25%. On a €10M inventory, that’s €1.5 to €2.5M unlocked.
Your total supply chain cost expressed as a % of revenue.
This indicator aggregates transport, warehousing, handling, procurement and planning costs.
Formula:
SC Cost / Revenue = (Total SC costs / Revenue) × 100
APICS 2024 benchmarks:
| Sector | Average SC cost / Rev | Best-in-class |
|---|---|---|
| Manufacturing | 10-15% | 5-8% |
| Food & Beverage | 12-18% | 8-12% |
| Distribution | 15-22% | 10-14% |
| Automotive | 8-12% | 4-7% |
The global measure of your production equipment efficiency.
OEE is the product of three components:
Formula:
OEE = Availability × Performance × Quality
Benchmark: > 85% (world class). The global industrial average is around 60%.
Quick diagnostic:
Your suppliers’ punctuality — a mirror of your own performance.
Formula:
Supplier OTD = (On-time deliveries / Total deliveries) × 100
Benchmark: > 95%. Below 90%, stockout risk becomes systemic.
How to improve: Monthly supplier scorecards shared openly, quarterly performance reviews, contractual clauses with penalties and bonuses.
The % of SKUs out of stock at a given point in time.
Formula:
Stockout Rate = (SKUs out of stock / Total active SKUs) × 100
Benchmark: < 2% (consumer distribution: < 1%)
Beware of false positives — A zero stockout rate may hide significant overstocks. The goal is balance, not absolute zero.
The time between paying for materials and collecting sales revenue.
Formula:
C2C = DSI (inventory) + DSO (accounts receivable) - DPO (accounts payable)
Benchmark: The shorter the C2C, the better. Best-in-class companies have negative C2C cycles — they collect before they pay out.
Step 1 — Choose the 5 most relevant KPIs for your context. No need to measure everything from day one. Start with OTIF, Fill Rate, Forecast Accuracy, Inventory Turnover and SC Cost/Revenue.
Step 2 — Define data sources in your ERP (SAP PP, MM, SD, FI). KPI quality depends on data quality.
Step 3 — Build the operational dashboard in SAP Analytics Cloud or Excel initially. The tool matters less than the regularity of the review.
Step 4 — Run a monthly KPI review with all stakeholders (sales, production, logistics, finance). This is the heart of the S&OP cycle.
Step 5 — Define corrective action plans whenever a KPI deviates from its target. A KPI without an action plan is merely an observation.
The 10 KPIs presented here cover the entire supply chain — from supplier to customer, from production floor to cash flow. But measuring without acting is pointless. The real value lies in the organizational rituals you build around these numbers: reviews, escalations, action plans.
If your OTIF is below 90%, your Forecast Accuracy doesn’t exceed 65%, and your inventory turnover falls short of your sector benchmarks — your supply chain has significant improvement potential.
Estimate that potential in 2 minutes with our ROI simulator →
Supply Chain and SAP S/4HANA expert with over 20 years of industrial experience. Founder of ALICOG, a consulting firm specialized in supply chain transformation.
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