Rejection Rate Metric
Essential knowledge
Intended Audience:
Business User
Author:
Movyn John
Changed on:
20 Oct 2025
Overview
Learn about the Rejection Rate Metric in Fluent Analytics
Key points
- High rejection rates directly impact customer satisfaction and delivery times
- May indicate overselling or poor inventory management
- Location-specific patterns can reveal operational inefficiencies
What it measures
Percentage of fulfillments rejected.
When to use this metric
- Identify fulfillment locations with operational issues
- Monitor inventory accuracy problems
- Assess the impact of product availability on customer experience
- Evaluate location performance and capacity management
How to interpret
- Good performance: A lower rejection rate indicates healthy operations
- Potential issues: Higher rates suggest inventory inaccuracy or capacity problems
- Benchmark guidance: Monitor trends rather than absolute numbers; sudden spikes need investigation
Technical details
Formula:
(COUNT(fulfillments) where fulfillment.status = {STATUS_REJECTED} / COUNT(fulfillments)) * 100 within the selected time period
Configuration:
- STATUS_REJECTED: Status definitions for rejected fulfillments (default: REJECTED)
