Running an Amazon business at scale involves much more than selling products.

Behind the scenes, there is a constant flow of documents:

• supplier invoices
• Amazon fee invoices
• customer transactions
• VAT reports across multiple countries

In this case study, we look at how Vincent, an Amazon seller, uses IntoExcel to organize all his financial data and manage his accounting more efficiently.

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The Situation

Vincent sells products across several European marketplaces.

This means dealing with:

• multiple Amazon countries such as France, Germany, Italy, and Spain
• different VAT rates and tax rules
• multiple suppliers, often from different regions

Every month, he receives and generates:

• supplier invoices
• Amazon internal invoices (fees, commissions, storage, etc.)
• sales reports
• VAT-related documents

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The Challenge

Before automation, Vincent had to:

• download invoices from Amazon Seller Central
• collect supplier invoices from emails
• track customer-related data
• manually enter everything into Excel

The main issues were:

Too many documents

Hundreds of invoices every month.

Different formats

Each supplier and each Amazon report had a different structure.

VAT complexity

Selling in multiple countries requires tracking:

• VAT collected
• VAT paid
• VAT rates per country

Time-consuming accounting

Manual data entry took several hours every week.

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What Vincent Needed

Vincent wanted a way to:

• centralize all financial data
• extract data automatically from documents
• track VAT across countries
• build his own accounting system in Excel

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The Solution with IntoExcel

Vincent started using IntoExcel to automate his workflow.

In lieu of manually entering data, he now uploads his documents and extracts structured information automatically.

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What Data Is Extracted

Supplier invoices

• supplier name
• invoice date
• product details
• quantities
• unit prices
• totals

Amazon internal invoices

• fees
• commissions
• storage costs
• country of transaction
• VAT amounts

Sales and customer data

• order totals
• marketplace
• transaction dates

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Example of Data Organization

Below is an example of how Vincent structures his data after extraction.

All data is centralized in one Excel file.

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Managing VAT Across Europe

One of the most complex parts of Vincent’s business is VAT.

With IntoExcel, he can extract:

• VAT rate
• VAT amount
• country of origin

This allows him to:

• track VAT per country
• prepare OSS declarations
• verify VAT collected and paid

Everything is organized in a way that makes reporting much easier.

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Building His Own Accounting

Instead of relying entirely on external tools, Vincent uses Excel as his central system.

With structured data, he can:

• calculate profit per product
• track supplier costs
• analyze Amazon fees
• monitor margins

This gives him full visibility over his business.

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Time Saved

Before automation:

• several hours per week spent on manual entry

After using IntoExcel:

• most data extracted in minutes

Vincent can now focus on:

• growing his business
• optimizing products
• managing suppliers

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Why This Approach Works

Amazon sellers deal with:

• high document volume
• multiple data sources
• complex tax requirements

Automating data extraction allows them to:

• reduce manual work
• improve accuracy
• centralize information

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Try IntoExcel

If you are an Amazon seller managing multiple invoices and reports, automation can simplify your workflow.

👉 Try IntoExcel

Upload your documents and receive 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

Managing an Amazon business involves handling a large amount of financial data.

Without automation, this quickly becomes overwhelming.

By using IntoExcel, Vincent was able to:

• automate invoice extraction
• centralize all financial data
• simplify VAT tracking
• build a clear and efficient accounting system

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