Top 10 Returned Products Metric
Essential knowledge
Intended Audience:
Business User
Author:
Movyn John
Changed on:
20 Oct 2025
Overview
Learn about the Top 10 Returned Products Metric in Fluent Analytics
Key points
- High-return products tie up inventory and increase operational costs
- Return patterns may indicate broader product line or supplier issues
- Seasonal products may show expected return spikes after gift-giving periods
- Return reasons should be analyzed alongside volume data
What it measures
Products with the highest return volumes by quantity for the selected time period.
When to use this metric
- Identify products with quality or customer satisfaction issues
- Guide inventory purchasing decisions to avoid problematic products
- Assess the impact of returns on inventory planning and availability
- Prioritize product improvement or discontinuation decisions
How to interpret
- Good performance: Return volumes are distributed across many products with no dominant patterns
- Potential issues: High return volumes for specific products indicate systematic quality, sizing, or expectation problems
- Benchmark guidance: Products appearing consistently in top returns need investigation and potential action
Technical details
Formula:
SUM(inventoryQuantity.qty) where type = {TYPE_RETURNED}
grouped by product_id, ordered by SUM DESC, limited to top 10
within the selected time period
Configuration:
- TYPE_RETURNED: Type definitions for inventory quantity reservations
