Overview

The Returns Report provides structured insight into returned orders across your Amazon and Walmart marketplaces. It helps answer critical business questions such as:

1. Which products are being returned most frequently?

2. What are the primary reasons for returns?

3. What is the financial impact of returns?

4. How much returned inventory can be recovered versus written off?

By combining return volume, return value, disposition status, and customer-reported reasons, the report helps evaluate product quality, customer satisfaction patterns, and the operational and financial impact of returns.

Why Use This Report?

Use the Returns Report to:

1. Identify products with high return rates that may indicate listing inaccuracies, quality issues, or fulfillment problems.

2. Quantify the financial impact of returns on profitability.

3. Distinguish between sellable and unsellable returns for inventory planning.

4. Analyze return reasons to improve product descriptions, packaging, or operations.

5. Monitor return trends over time to evaluate process improvements.

This report supports both operational control and financial review.

Key Metrics (Overview Section)

The Overview section displays summary cards with period-over-period comparison indicators.

1. Returned Units
   Total number of units returned during the selected period.

2. Return Value
   Total monetary value of returned items.

3. Return Percentage
   Percentage of units returned relative to units sold.

4. Sellable Units
   Returned units that can be resold.

5. Sellable Value
   Monetary value of sellable returned units.

6. Unsellable Units
   Returned units that cannot be resold.

7. Unsellable Value
   Monetary value of unsellable returned units.

Reviewing sellable versus unsellable breakdown helps assess recoverable inventory versus unrecoverable loss.

Top 5 Disposition Status

This section displays the classification breakdown of returned items.

It shows how returned units are distributed across statuses such as:

1. Sellable

2. Carrier Damaged

3. Customer Damaged

4. Defective

5. Other reasons

This view helps assess how much inventory can be recovered versus written off.

Top Reasons for Returns

This section highlights the most common customer-reported return reasons.

Examples may include:

1. Not as described

2. Incorrect item

3. Lost in transit

4. Lost after delivery

5. No longer wanted

6. Difficult setup / not compatible

This breakdown helps identify listing accuracy issues, fulfillment problems, or product-related concerns.

The Trends section analyzes return units and return value over time.

Available capabilities:

1. Chart View and Table View.

2. Grouping by Day, Week, or Month.

3. Compare With option to evaluate against another date range.

Trends help determine whether return rates are increasing, decreasing, or influenced by operational or seasonal factors.

Returns Table

The Returns Table provides detailed return-level data with grouping, sorting, filtering, and export capability.

Group By Options:

1. Raw Data – Individual return line items.

2. SKU – Product-level aggregated return performance.

3. Order ID – Grouped by return order.

Use SKU grouping to evaluate product performance and Raw Data or Order ID grouping for transaction-level review.

Available Columns

Columns vary based on grouping and marketplace. Core fields include SKU, Marketplace, Units, Return Value, Return Percentage, Reason, and Disposition Status. Additional marketplace-specific attributes may be available when applicable.

Sorting columns helps identify products with the highest return rates, largest financial impact, or most frequent return reasons.

Filters

The Returns Report filter panel includes the following filter options:

1. Return Value

2. Tags

3. Country

4. Order ID

5. SKU

6. Reason

7. Status

8. ASIN

Applying filters updates all sections of the report, including Overview, Trends, and Table.

Filters can be used to isolate:

1. High-value returns.

2. Specific return reasons.

3. Marketplace-specific behavior.

4. Product-level return issues.

Marketplace Differences

Certain return attributes may vary between Amazon and Walmart depending on marketplace data availability. Marketplace-specific fields are displayed when applicable.

When multiple marketplaces are selected, the report reflects combined return performance across those channels.

Summary

The Returns Report combines summary metrics, trend analysis, and detailed return-level data to provide a structured view of return behavior.

By analyzing return volume, financial impact, customer reasons, and disposition outcomes, sellers can identify root causes, reduce return rates, and protect overall profitability.