Total Failed Fulfillments Metric
Essential knowledge
Intended Audience:
Business User
Author:
Movyn John
Changed on:
13 Nov 2025
Overview
Learn about the Total Failed Fulfillments Metric in Fluent Analytics
Key points
- Failed fulfillments require manual intervention and delay delivery
- May indicate inventory accuracy, system, or training issues
- Different failure types require different corrective actions
What it measures
Number of fulfillments with all requested items missing or unavailable.
When to use this metric
- Identify systemic operational problems
- Monitor the impact of process changes on failure rates
- Assess location-specific quality issues
- Track progress on operational improvement initiatives
How to interpret
- Good performance: Failed fulfillments should be a low %
- Potential issues: Increasing failure rates indicate process or system problems
- Benchmark guidance: Should trend toward zero; patterns need root cause analysis
Technical details
Formula:
COUNT(fulfillments) where status = {STATUS_FAILED} within the selected time period
Configuration:
- STATUS_FAILED: Status definitions for failed fulfillments (default: REJECTED)
Reference Parameters:
`fulfilment.created_date`: Filters the metric to fulfillments created within the selected time period`retailer.ref`: Filters the metric to fulfillments from the selected retailer`from_location.ref`: Filters the metric to fulfillments assigned to the selected location
