Running an Amazon business means dealing with a large number of documents every month.

Between supplier invoices, Amazon reports, and customer transactions, data quickly becomes difficult to manage, especially when selling across multiple countries.

In this article, we explain how Amazon sellers can use IntoExcel to automate invoice extraction and centralize all financial data into Excel.

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The Challenge for Amazon Sellers

Amazon sellers typically handle three main types of documents:

1. Supplier invoices

These come from manufacturers or wholesalers, often from different countries such as China, Japan, or Europe.

They can be:

• PDFs
• scanned documents
• emails
• images

Each supplier uses a different format, which makes manual extraction difficult.

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2. Customer-related data

Even if Amazon handles most transactions, sellers still need to track:

• sales data
• refunds
• fees
• payouts

This information is often spread across multiple reports.

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3. Amazon invoices and tax documents

Amazon generates many internal documents, including:

• fee invoices
• VAT calculation reports
• transaction summaries
• country-specific tax documents

For sellers operating in Europe, this becomes even more complex due to:

• multiple VAT numbers
• different VAT rates per country
• OSS and cross-border rules

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Why Manual Processing Becomes a Problem

Without automation, sellers often:

• download multiple reports
• open each document
• copy data into Excel
• try to reconcile everything manually

This leads to:

• hours of repetitive work
• high risk of errors
• difficulty tracking VAT and margins

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How IntoExcel Simplifies Everything

IntoExcel allows Amazon sellers to extract data from all these documents and organize everything into structured Excel files.

Step 1: Upload your documents

Upload:

• supplier invoices
• Amazon invoices
• reports or statements

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Step 2: Select the fields

Choose what you want to extract:

• supplier name
• invoice number
• country
• VAT rate
• total amount
• product details
• fees

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Step 3: Automatic extraction

The system:

• reads PDFs and scanned documents
• detects relevant fields
• structures the data automatically

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Step 4: Download your Excel file

You get a clean spreadsheet where all your data is organized and ready to use.

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Example of Amazon Data Extraction

Below is an example of how different documents can be unified into one structured Excel file.

Instead of scattered files, everything is centralized.

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Managing VAT Across Multiple Countries

One of the biggest challenges for Amazon sellers in Europe is VAT.

With IntoExcel, you can extract:

• VAT rate per invoice
• VAT amount
• country of transaction

This allows you to:

• track VAT per country
• simplify OSS reporting
• prepare documents for your accountant

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Extracting Line Items for Better Analysis

IntoExcel allows you to extract:

• one row per invoice
  or
• one row per product

This is extremely useful for:

• margin analysis
• product profitability
• supplier comparison

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Real Benefits for Amazon Sellers

Save time

Process hundreds of invoices in minutes instead of hours.

Reduce errors

Avoid manual copy and paste mistakes.

Centralize your data

Keep supplier, Amazon, and financial data in one place.

Improve visibility

Understand your costs, fees, and margins clearly.

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Who Should Use This

This workflow is ideal for:

• Amazon FBA sellers
• cross-border EU sellers
• e-commerce operators
• finance teams managing marketplaces

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Try IntoExcel

If you are an Amazon seller dealing with multiple invoices and reports, automation can make a huge difference.

👉 Try IntoExcel

Upload your documents and get a structured Excel file instantly.

Start here:
https://intoexcel.com

You can begin with free extractions to test the system.

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Final Thoughts

Amazon businesses generate a large amount of data from different sources.

Managing this manually is time-consuming and inefficient.

By using IntoExcel, sellers can:

• automate invoice extraction
• centralize financial data
• simplify VAT tracking
• gain better insights into their business

For Amazon sellers looking to scale, having clean and structured data is a major advantage.