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.
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:
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.
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.
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.
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%.
Measures the percentage of demand satisfied from available stock, without backorders or substitutions.
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.
These measure the efficiency of stock management: whether there is too much, too little or whether it is well distributed.
Measures how many times inventory is sold and replenished in a period. High turnover indicates efficiency; low turnover may indicate overstock or low demand.
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.
Measures how frequently the company cannot satisfy demand due to lack of stock. Must be calculated by SKU, not just at global level.
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.
These measure the internal efficiency of the warehouse: productivity, space utilisation and operational quality.
Measures how many order lines an operator picks per hour. It is the most widely used productivity indicator in manual picking operations.
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.
Measures the percentage of storage capacity currently in use. Very high occupancy (above 85-90%) reduces operational flexibility and increases the risk of errors.
The total time from when an order is received until it leaves the warehouse. Includes processing, picking, packing and despatch time.
These measure the efficiency and cost of transport operations, both inbound and outbound.
Relates total transport cost to sales generated. Allows comparison of logistics efficiency across periods and with the sector.
Measures the percentage of deliveries made within the agreed timeframe. It is the punctuality component of OTIF.
Measures what percentage of vehicle load capacity is actually being used. Low utilisation indicates inefficiency and a higher cost per unit transported.
Percentage of shipments that have suffered an incident (delay, damage, loss, failed delivery). A key indicator of transport service quality.
These measure the reliability and efficiency of supplier relationships, a critical factor in supply chain resilience.
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.
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.
Percentage of units received from a supplier that do not meet quality standards and are rejected at goods receipt.
| 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% |
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.
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.
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.
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.
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.
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.
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.
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.
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.