Total Partially Fulfilled Fulfillments Metric
Essential knowledge
Intended Audience:
Business User
Author:
Movyn John
Changed on:
9 Dec 2025
Overview
Learn about the Total Partially Fulfilled Fulfillments Metric in Fluent Analytics
Key points
- Partial fulfillments may require additional shipments and costs
- Customer satisfaction impact varies by item importance and communication
- May indicate overselling or inventory accuracy issues
What it measures
Number of fulfillments fulfilled with some requested items missing or unavailable.
When to use this metric
- Monitor inventory accuracy and availability issues
- Assess the impact of stockouts on customer experience
- Evaluate split shipment policies and effectiveness
- Track progress on inventory management improvements
How to interpret
- Good performance: Partial fulfillments below x% of total completions
- Potential issues: High partial rates indicate inventory or accuracy problems
- Benchmark guidance: Should be minimized; track trends and root causes
Technical details
Formula:
COUNT(fulfillments) where status = {STATUS_PARTIALLY_COMPLETED} within the selected time period
Reference Filter Parameters:
`from_location.ref`: Filters the metric to fulfillments assigned to the selected location`fulfilment.created_date`: Filters the metric to fulfillments created within the selected time period`fulfilment.status`: {STATUS_PARTIALLY_COMPLETED} - Status definitions for partially completed fulfillments (default: PARTIALLY_FULFILLED)`retailer.ref`: Filters the metric to fulfillments from the selected retailer
