Join our Community on Discord! Connect with other users and get the latest updates.

Join Discord

Bulk Analysis Guide

The 3 Minute Demo
See the bulk analysis feature in action with our detailed demo

Our bulk analysis feature enables you to upload files containing thousands of product identifiers and receive comprehensive analysis results for all products in one go.

Supported Product Codes
Types of product identifiers that can be analyzed
Code TypeFormatExample
UPC (Universal Product Code)12-13 digits123456789012
EAN (European Article Number)13 digits1234567890123
Walmart Product Code6-8 digits123456
File Format Guidelines
Rivin can parse various file formats and structures, but here are some best practices for optimal results

Supported File Types

  • Excel files (.xlsx, .xls)
  • CSV files (.csv)

⚠️ Important: Excel Sheets with Subsheets

Excel files with multiple sheets (subsheets) are not supported.Our bulk analysis feature can only process single-sheet Excel files or CSV files.

Please ensure your Excel file contains only one sheet with your product data.

What to do:

  • • Copy your data to a new single-sheet Excel file
  • • Or export your data as a CSV file
  • • Remove any extra sheets before uploading

🎯 Column Header Best Practices

Use clear, descriptive column names in the first row of your file.Our system automatically maps columns based on header names, so clear naming ensures accurate data extraction.

Recommended Column Names:
  • • "UPC" or "EAN" - for product identifiers
  • • "Price" or "Cost" - for supplier prices
  • • "Length", "Width", "Height" - for dimensions
  • • "Weight" - for product weight
  • • "ASIN" - for Amazon product codes
  • • "Walmart" - for Walmart product codes
Avoid:
  • • Generic names like "Column A", "Data 1"
  • • Abbreviations that aren't clear
  • • Special characters or symbols
  • • Very long column names

Best Practices

RecommendationDescriptionRequired
Product CodesInclude UPC, EAN, or Walmart product codes in any column - our system will automatically detect and extract them based on column headers
Required
Supplier PricesInclude supplier/cost prices to enable profitability calculations - our system will identify price columns automatically from clear headers
Recommended
Product DimensionsInclude length, width, height, and weight if available - will be used as primary data source over other sources. Each dimension must be in its own column with specific headers: "length", "width", "height", "weight"
Recommended
HeadersClear column headers are highly recommended - our system uses intelligent column mapping based on header names for accurate data extraction
Recommended

Example File Format

Bulk Analysis File Example
📏 Important: Dimensions & Weight Format

If you want to use your own dimensions and weight data, each measurement must be in its own column with these exact header names:

  • • "length" - Product length in inches
  • • "width" - Product width in inches
  • • "height" - Product height in inches
  • • "weight" - Product weight in pounds

These will be used for accurate WFS fee calculations and prioritized over other data sources.

What You'll Get
Comprehensive analysis results for each product in your file

Product Information

  • • Walmart product code and canonical URL
  • • Product title, brand, and category
  • • Current buybox price and seller
  • • Number of offers and selling status
  • • Monthly units sold estimates
  • • Product dimensions and weight (from multiple sources)

Profitability Analysis

  • • Walmart referral fee percentage and amount
  • • WFS (Walmart Fulfillment Services) fees
  • • Net profit calculation
  • • ROI percentage
  • • Profit margin percentage
  • • Monthly sales projections
Frequently Asked Questions