June 15, 2026

Logistics KPIs: A Complete Guide by Area With Formulas and Targets

June 15, 2026
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8 min.
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What is not measured cannot be improved. In logistics, this statement is especially true: a supply chain without well-defined KPIs operates blind, making decisions based on perception rather than data. But measuring for the sake of measuring is not enough either. The key is selecting the right indicators for each area, calculating them correctly and acting on them. This guide covers the most important logistics KPIs, organised by area, with their formulas and interpretation criteria.

What Are Logistics KPIs?

Logistics KPIs (Key Performance Indicators) are quantitative indicators that measure the performance of supply chain processes. They allow evaluation of whether operations are meeting their objectives, identification of deviations and data-driven decision-making.

A well-defined logistics KPI meets five conditions, known as SMART criteria:

  • Specific: measures a concrete process or result, not a general idea.
  • Measurable: can be calculated with available and verifiable data.
  • Achievable: the associated target is realistic for the operation.
  • Relevant: aligned with the company’s strategic objectives.
  • Time-bound: has a defined measurement horizon (daily, weekly, monthly).

The supply chain spans multiple areas, each with its own processes and objectives. Logistics KPIs must therefore be organised by area to be actionable: a transport indicator does not help improve warehouse management, and vice versa.

Customer Service KPIs

These are the most visible indicators from the outside and the ones that most impact customer perception. They measure the supply chain’s ability to fulfil commitments.

OTIF (On Time In Full)

The king of customer service indicators. It measures the percentage of orders delivered on time and complete. It is the only KPI that combines punctuality and order integrity into a single number.

OTIF = (Orders delivered on time and complete / Total orders) x 100

An OTIF of 95% means 5 in every 100 orders arrived late, incomplete or both. In industrial and FMCG sectors, standards typically require OTIF above 98%.

Fill Rate

Measures the percentage of demand satisfied from available stock, without backorders or substitutions.

Fill rate = (Units shipped / Units demanded) x 100

Perfect Order Rate

A perfect order is one delivered on time, complete, undamaged and with correct documentation. The perfect order rate combines all these conditions into a single indicator.

Perfect order rate = (Perfect orders / Total orders) x 100

Inventory KPIs

These measure the efficiency of stock management: whether there is too much, too little or whether it is well distributed.

Inventory Turnover

Measures how many times inventory is sold and replenished in a period. High turnover indicates efficiency; low turnover may indicate overstock or low demand.

Inventory turnover = Cost of goods sold / Average inventory

Days Sales of Inventory (DSI)

Expresses in days how long it takes for inventory to convert into sales. It is the time-based version of turnover, more intuitive for operational teams.

DSI = 365 / Inventory turnover

Stockout Rate

Measures how frequently the company cannot satisfy demand due to lack of stock. Must be calculated by SKU, not just at global level.

Stockout rate = (Unfulfilled orders / Total orders) x 100

Inventory Accuracy

Compares stock recorded in the system with actual physical stock. Discrepancies are more frequent than most companies realise and can generate both virtual stockouts and unnecessary purchases.

Inventory accuracy = (Correct locations / Total locations reviewed) x 100

Warehouse KPIs

These measure the internal efficiency of the warehouse: productivity, space utilisation and operational quality.

Picking Productivity

Measures how many order lines an operator picks per hour. It is the most widely used productivity indicator in manual picking operations.

Picking productivity = Lines picked / Hours worked

Picking Error Rate

Measures the percentage of order lines prepared with errors (wrong product, wrong quantity, wrong location). A picking error is costly: it implies a return, a re-shipment and a dissatisfied customer.

Picking error rate = (Lines with error / Total lines picked) x 100

Warehouse Occupancy

Measures the percentage of storage capacity currently in use. Very high occupancy (above 85-90%) reduces operational flexibility and increases the risk of errors.

Occupancy = (Occupied locations / Total capacity) x 100

Order Cycle Time

The total time from when an order is received until it leaves the warehouse. Includes processing, picking, packing and despatch time.

Transport KPIs

These measure the efficiency and cost of transport operations, both inbound and outbound.

Transport Cost as a Percentage of Sales

Relates total transport cost to sales generated. Allows comparison of logistics efficiency across periods and with the sector.

Transport cost / sales = (Total transport cost / Total sales) x 100

On-Time Delivery Rate (OTD)

Measures the percentage of deliveries made within the agreed timeframe. It is the punctuality component of OTIF.

OTD = (On-time deliveries / Total deliveries) x 100

Vehicle Utilisation Rate

Measures what percentage of vehicle load capacity is actually being used. Low utilisation indicates inefficiency and a higher cost per unit transported.

Vehicle utilisation = (Actual load / Maximum capacity) x 100

Transport Incident Rate

Percentage of shipments that have suffered an incident (delay, damage, loss, failed delivery). A key indicator of transport service quality.

Incident rate = (Shipments with incident / Total shipments) x 100

Procurement and Supplier KPIs

These measure the reliability and efficiency of supplier relationships, a critical factor in supply chain resilience.

Supplier OTIF

The same as the customer service OTIF, but measured in the relationship with suppliers. Measures what percentage of supplier orders are received on time and complete.

Procurement Lead Time

The average time from when a supplier order is placed until the goods are available in the warehouse. A critical parameter for calculating the reorder point and safety stock.

Goods Rejection Rate

Percentage of units received from a supplier that do not meet quality standards and are rejected at goods receipt.

Rejection rate = (Units rejected / Units received) x 100

Summary Table of Logistics KPIs

KPI Area Typical Target
OTIF Customer service > 95-98%
Fill rate Customer service / Inventory > 95%
Inventory turnover Inventory Sector-dependent
Inventory accuracy Inventory / Warehouse > 99%
Picking error rate Warehouse < 0.1-0.5%
OTD Transport > 95%
Transport cost / sales Transport Sector-dependent (typically 3-8%)
Supplier OTIF Procurement > 95%

How to Implement Logistics KPIs Effectively

1. Start With Few, Well-Chosen KPIs

One of the most common errors is trying to measure everything at once. A dashboard with 40 indicators is unmanageable and ends up unused. Start with 5 to 8 key KPIs covering the most critical areas for your operation and expand gradually.

2. Define the Objective Before the Indicator

A KPI without an objective is useless. Before measuring, define what result you want to achieve and what the acceptable threshold is. The KPI will tell you whether you are moving towards or away from that objective.

3. Ensure Data Quality and Availability

A KPI calculated with incorrect or outdated data can lead to worse decisions than having no indicator at all. Data reliability is a prerequisite for KPI usefulness. This requires management systems (ERP, WMS, TMS) to be integrated and updated in real time.

4. Review KPIs at the Right Frequency

Not all KPIs should be reviewed with the same frequency. Operational indicators (picking productivity, transport incidents) require daily or weekly monitoring to react in time. Strategic ones (inventory turnover, cost as percentage of sales) can be reviewed monthly.

5. Act on Deviations

A KPI that is measured but generates no corrective actions is a bureaucratic exercise. The value of indicators lies in the ability to identify deviations and act on them before the problem escalates.

KPIs and supply chain visibility: the greatest limitation to implementing effective logistics KPIs is usually not a lack of data, but the fragmentation of that data across different systems. When sales, inventory, warehouse and transport data live on separate platforms, calculating a real OTIF or reliable inventory accuracy requires enormous manual effort, prone to errors. Supply chain visibility platforms that centralise all this data into a single source allow KPIs to be calculated automatically, in real time and with the granularity needed for actionable decisions.

Frequently Asked Questions About Logistics KPIs

How many logistics KPIs should a company have?

There is no universal number, but as a practical rule: 5 to 10 well-managed KPIs are more useful than 30 indicators nobody reviews. The key is that each KPI is linked to a clear objective and generates actions when it deviates.

What is the difference between a KPI and a metric?

A metric is any measurable data point (number of shipments, transport cost, units in stock). A KPI is a metric specifically selected for its relevance to measuring progress towards a strategic objective. Every KPI is a metric, but not every metric is a KPI.

How often should logistics KPIs be reviewed?

It depends on the type of indicator. Operational ones (productivity, incidents) require daily or weekly monitoring to react in time. Tactical ones (fill rate, monthly OTIF) are reviewed weekly or monthly. Strategic ones (cost as percentage of sales, annual turnover) are analysed monthly or quarterly.

Is OTIF the most important KPI in logistics?

OTIF is probably the most complete customer service indicator because it combines punctuality and completeness in one number. However, it is not the only important one: a high OTIF achieved with a disproportionate transport cost is not sustainable. KPIs must be read together, not in isolation.

 

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