Product Return Rates by Category
- Published:
- Jun 15, 2026
- Updated:
- May 17, 2026
Short answer
Online apparel returns remain industry challenge at 30%
Source: NRF
Key findings
- Online apparel returns remain industry challenge at 30%
- Virtual try-on reducing fashion returns by 20%
- Return costs averaging $33 per item across categories
Context file preview
The downloaded Markdown file includes:
- Key findings
- Data table
- Methodology
- Source links
- Suggested AI prompts
# Product Return Rates by Category
## Research Question
## Short Answer
## Key Findings
## Data Table
## How To Use This With AI
## Suggested Prompts
## Sources
## CaveatsData table
| online | inStore | category |
|---|---|---|
| 30 | 8 | Apparel |
| 15 | 5 | Electronics |
| 12 | 6 | Home Goods |
| 8 | 3 | Beauty |
| 4 | 1 | Grocery |
Analysis
Product returns represent a massive hidden cost in e-commerce, with online return rates 3-4x higher than in-store across every category. Apparel leads due to fit uncertainty, driving investment in virtual try-on and AI sizing tools. Retailers are increasingly monetizing returns through outlet channels rather than eating the full cost.
How to use this with AI
Use this context file to start a research conversation with an AI tool. It includes the key findings, chart data, sources, and caveats so the model starts from structured context instead of a blank prompt.
Use cases
- Build a market research memo.
- Create a short executive brief.
- Compare this topic with another sector or geography.
- Generate follow-up research questions.
- Turn the findings into a slide outline.
Suggested prompts
- Using this Deepstory context, create a market research memo with key findings, strategic implications, risks, and follow-up questions.
- Using this dataset, explain the trend, identify the likely drivers, and list the caveats that should be checked before making a decision.
- Turn this research into a 5-slide presentation outline for a business audience.
- Create 10 follow-up research questions based on the data and identify what additional sources would be useful.
Good for your next AI prompt
Feeding this into an AI assistant? Download this dataset as an AI-ready context file, or customize it first.
Sources
- Source quality:
- Primary source
- Last reviewed:
- Updated May 2026
-
Return rate survey data
Caveats
- This research is based on available public data and should be used as context, not as professional advice. Check source methodology before making decisions.