Failed Delivery Rate (FDR) is a critical performance indicator that highlights the efficiency of logistics and supply chain operations.
A high FDR can signal underlying issues in operational efficiency, impacting customer satisfaction and financial health.
By closely monitoring this KPI, organizations can make data-driven decisions that enhance service levels and reduce costs.
Improving FDR can lead to better forecasting accuracy and ultimately drive higher ROI metrics.
Companies that prioritize FDR often see improved customer retention and reduced operational risks, aligning with broader strategic goals.
Failed Delivery Rate sits in KPI Depot's Food Delivery KPI group on the internal process perspective. It ranks just outside the group's headline block, which opens with Order Delivery Time and On-Time Delivery Rate, then Customer Satisfaction Score, Order Accuracy Rate, and Delivery Capacity Utilization. Where those metrics track how fast and how fully the network runs, this one records where the last handoff breaks down, so it behaves as a reliability backstop for the speed metrics above it.
Its tension is with Order Delivery Time and Delivery Capacity Utilization. Compressing delivery windows and loading drivers closer to full capacity both raise the odds that an attempt lands when no one is home or before an address problem is resolved, so the very moves that improve the headline speed metrics can push failures up. Cost per Delivery feels it next, since each failed attempt buys a re-attempt, a support contact, or a refund. Customer Retention Rate is where the KPI group reconciles the two: a fast network that keeps failing quietly loses the customers the speed was meant to win.
The formula divides failed deliveries by attempts, so the definitions of both events decide the number. Pin down what failure means before measuring: a customer who is unavailable, an address that cannot be found, a refused or damaged order, and a courier who abandons a run are different events with different owners, and lumping them together hides where the problem sits. Decide too whether a re-attempt is a fresh attempt in the denominator or part of the original order, because that choice alone can move the rate.
Attribution is the harder discipline. Many failures originate with the customer or the address rather than the operation, and a rate that blames the courier for all of them will point improvement work in the wrong direction. Segment by failure reason, delivery zone, and time of day, and separate first-attempt failures from final outcomes. The instrumentation trap is inconsistent logging of rescheduled and partially delivered orders, which quietly shifts the rate without any real change on the ground.
Many organizations overlook the impact of failed deliveries on customer loyalty and overall profitability.
Enhancing delivery performance requires a focus on both process optimization and customer communication.
The Food Delivery KPI group uses Failed Delivery Rate directly in its own OKR material, under an objective to enhance delivery speed and reliability so customer expectations are met consistently. It appears there alongside Order Delivery Time, On-Time Delivery Rate, and Time to Accept Order as a key result the team drives down.
Kept directional, it works as a reliability check on the speed objectives: a team can shorten delivery times and still erode trust if more of those faster runs fail to complete. Stating the key result as a sustained reduction in failed attempts across a defined set of zones, while holding On-Time Delivery Rate steady, keeps the speed push and the reliability floor honest with each other.
This KPI is associated with the following categories and industries in our KPI database:
KPI Depot takes you from KPI intelligence to finished deliverable. Consultants, strategy teams, FP&A leaders, and analytics teams use it to answer the two hardest questions in performance management, what to measure and what the target should be, and then to produce the scorecard itself.
The difference is intelligence, not just data. Anyone can list metrics. Every KPI in KPI Depot carries 13 practical attributes, from formula and measurement approach to diagnostic questions, risk warnings, and Balanced Scorecard perspective, across 15 corporate functions and 153 industries. And every target you set is grounded in our database of 34,304 source-attributed benchmarks, each detailing metric value, company size, time period, industry, geography, sample size, and source. Benchmark data at this scale is otherwise the domain of research services costing thousands to hundreds of thousands of dollars per year.
When your metrics are selected, KPI Depot finishes the job: export an interactive Strategy Map, a Balanced Scorecard with formulas and tracking columns, or a CSV KPI pack, and go from research to working deliverable in hours instead of weeks.
Formerly the Flevy KPI Library, KPI Depot is trusted by teams at organizations including Accenture, EY, IBM, PepsiCo, Samsung, and Vodafone.
Got a question? Email us at [email protected].
Common factors include poor logistics planning, inadequate carrier performance, and lack of real-time tracking. Each of these elements can lead to delays and customer dissatisfaction.
Technology such as automated tracking systems and predictive analytics can identify potential delivery issues before they occur. This proactive approach allows companies to address problems and improve overall efficiency.
No, while both metrics relate to delivery performance, FDR specifically measures the percentage of failed deliveries. On-time delivery focuses on whether shipments arrive within the promised timeframe.
FDR should be monitored and reported monthly to identify trends and make timely adjustments. Frequent reporting helps maintain focus on operational efficiency and customer satisfaction.
A target FDR of less than 5% is generally considered acceptable for most industries. However, specific targets may vary based on the nature of the business and customer expectations.
Yes, reducing failed deliveries can lead to lower operational costs and higher customer retention, both of which positively influence profitability. Improved FDR often correlates with enhanced customer loyalty and repeat business.
Each KPI in our knowledge base includes 13 attributes.
A clear explanation of what the KPI measures
The typical business insights we expect to gain through the tracking of this KPI
An outline of the approach or process followed to measure this KPI
The standard formula organizations use to calculate this KPI
Insights into how the KPI tends to evolve over time and what trends could indicate positive or negative performance shifts
Questions to ask to better understand your current position is for the KPI and how it can improve
Practical, actionable tips for improving the KPI, which might involve operational changes, strategic shifts, or tactical actions
Recommended charts or graphs that best represent the trends and patterns around the KPI for more effective reporting and decision-making
Potential risks or warnings signs that could indicate underlying issues that require immediate attention
Suggested tools, technologies, and software that can help in tracking and analyzing the KPI more effectively
How the KPI can be integrated with other business systems and processes for holistic strategic performance management
Explanation of how changes in the KPI can impact other KPIs and what kind of changes can be expected
NEW Mapping to a Balanced Scorecard perspective (financial, customer, internal process, learning & growth)