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Updated January 04, 2026

Sales Return Reports

Sales Return Reports provide detailed analysis of sales returns, refunds, and reverse transactions in EquiBillBook. This guide will help you generate and analyze sales return reports to track return patterns, identify reasons for returns, and manage return processes effectively.

Understanding Sales Return Reports

Sales Return Reports help you:

  • Track all sales returns and refunds
  • Analyze return patterns and trends
  • Identify most frequently returned items
  • Monitor return reasons and causes
  • Calculate return rates and percentages
  • Manage return processes and inventory adjustments

Accessing Sales Return Reports

To generate sales return reports:

  1. Navigate to the Reports module from the main menu
  2. Click on Sales ReportsSales Return Report or Return Report
  3. Select date range and filters
  4. Click "Generate Report"

Report Information Displayed

Return Summary

Overall return metrics:

  • Total Returns: Total number of return transactions
  • Total Return Amount: Total value of returns
  • Total Quantity Returned: Total items/quantity returned
  • Average Return Amount: Average value per return
  • Return Rate: Percentage of sales that were returned
  • Total Refunds: Total refunds processed

Return Details

For each return transaction:

  • Return Number: Return invoice/document number
  • Return Date: Date of return
  • Original Invoice Number: Original sales invoice number
  • Original Invoice Date: Date of original sale
  • Customer Name: Customer who returned the items
  • Return Amount: Total return value
  • Return Reason: Reason for return (if recorded)
  • Return Status: Status of return processing

Item-wise Returns

For each returned item:

  • Item Name/Code: Product or service name
  • Quantity Returned: Number of units returned
  • Return Amount: Value of returned items
  • Original Sale Price: Original selling price
  • Return Reason: Reason for returning this item
  • Refund Method: How refund was processed

Customer-wise Returns

Returns by customer:

  • Customer Name: Customer information
  • Number of Returns: Count of return transactions
  • Total Return Amount: Total value returned by customer
  • Return Rate: Percentage of customer's purchases returned
  • Average Return Amount: Average value per return

Item-wise Return Analysis

Most returned items:

  • Item Name/Code: Product information
  • Total Returns: Number of times item was returned
  • Total Quantity Returned: Total units returned
  • Total Return Amount: Total value of returns
  • Return Rate: Percentage of item sales that were returned
  • Common Return Reasons: Most frequent reasons for return

Report Parameters and Filters

Date Range Selection

Select the period for the report:

  • Predefined Ranges: Today, This Week, This Month, This Quarter, This Year
  • Custom Range: Select specific from and to dates
  • Last N Days: Last 7, 30, 60, 90 days
  • Period Comparison: Compare with previous period

Return Status Filter

Filter by return status:

  • All Returns: Include all return transactions
  • Processed: Returns that have been processed
  • Pending: Returns awaiting processing
  • Refunded: Returns with refunds processed
  • Exchanged: Returns with exchanges

Customer Selection

Filter by customers:

  • All Customers: Include all customers
  • Specific Customer: Select one or more customers
  • By Category: Filter by customer category/group

Item Selection

Filter by items:

  • All Items: Include all products/services
  • Specific Item: Select one or more items
  • By Category: Filter by item category

Location/Branch Filter

Filter by location or branch:

  • All Locations: Include all locations/branches
  • Specific Location: Select one or more locations

Additional Filters

Other filtering options:

  • Return Reason: Filter by specific return reasons
  • Refund Method: Cash, Credit, Credit Note, etc.
  • Minimum Return Amount: Show returns above threshold
  • Sort By: Return Date, Return Amount, Customer, etc.

Report Format and Layout

Report Structure

The report typically includes:

  • Header: Report title, date range, company information
  • Summary Section: Total returns, total amount, return rate
  • Detail Section: Individual return transactions
  • Analysis Section: Item-wise and customer-wise analysis
  • Charts and Graphs: Visual representations (if available)
  • Footer: Report generation date, page numbers

Grouping Options

Group returns by:

  • Date (daily, weekly, monthly)
  • Customer
  • Item/Category
  • Location/Branch
  • Return Reason
  • Return Status

Sorting Options

Sort returns by:

  • Return Date (newest to oldest)
  • Return Amount (highest to lowest)
  • Customer Name (alphabetical)
  • Item Name (alphabetical)
  • Return Reason

Generating and Viewing Reports

Generate Report

  1. Select date range
  2. Apply status, customer, and item filters
  3. Select grouping and sorting options
  4. Click "Generate Report" or "View Report"
  5. Review the generated report

Report Preview

The report preview shows:

  • Summary return metrics at the top
  • Detailed return transaction listing
  • Item-wise and customer-wise analysis
  • Visual charts and graphs
  • Options to export or print
  • Exporting Reports

    Export Formats

    Export reports in various formats:

    • Excel (XLS/XLSX): For analysis and manipulation
    • PDF: For printing and sharing
    • CSV: For data import to other systems

    Export Process

    1. Generate and preview the report
    2. Click "Export" or "Download"
    3. Select export format
    4. Choose export options (columns, grouping, etc.)
    5. Download the exported file

    Printing Reports

    To print reports:

    • Generate and preview the report
    • Click "Print" or "Print Preview"
    • Review print preview
    • Adjust print settings (orientation, margins, etc.)
    • Select pages to print if needed
    • Print or save as PDF

    Report Analysis

    Key Insights to Review

    Analyze these aspects:

    • Return Rate: Overall percentage of sales returned
    • Most Returned Items: Items with highest return frequency
    • Common Return Reasons: Most frequent reasons for returns
    • Return Trends: Whether returns are increasing or decreasing
    • Customer Return Patterns: Customers with high return rates
    • Return Value Impact: Financial impact of returns

    Using Report Data

    Use the report for:

    • Identifying product quality issues
    • Improving product descriptions and customer communication
    • Managing inventory adjustments
    • Customer service improvement
    • Return policy evaluation
    • Supplier quality assessment

    Return Rate Calculation

    Overall Return Rate

    Return Rate (%) = (Total Return Amount / Total Sales Amount) × 100

    • Percentage of sales that were returned
    • Lower rate indicates better customer satisfaction
    • Compare across periods to track trends

    Item Return Rate

    Item Return Rate (%) = (Item Returns / Item Sales) × 100

    • Percentage of item sales that were returned
    • Helps identify problematic products
    • Useful for inventory and purchasing decisions

    Best Practices

    • Record return reasons for better analysis
    • Generate return reports regularly to monitor trends
    • Track return rates over time
    • Investigate items with high return rates
    • Review return reasons to identify patterns
    • Use return data to improve products and processes
    • Compare return rates across locations
    • Export reports for detailed analysis in Excel

    Troubleshooting

    Report shows no data:

    • Check date range is correct
    • Verify filters are not too restrictive
    • Ensure sales returns exist for the selected period
    • Check return status filters

    Return amounts seem incorrect:

    • Verify all returns are recorded properly
    • Check date range selected
    • Review return transaction details
    • Verify return amounts match original invoices

    Return rate seems unusually high or low:

    • Verify calculation method
    • Check if all returns are included
    • Compare with industry benchmarks
    • Review date range and filters applied
Tags:
Analytics Reports