Why can't I directly merge CSV exports from Shopify and Amazon into one report?

Shopify and Amazon use different date formats and numeric conventions in their CSV exports. Merging them directly causes date columns to sort incorrectly and numeric columns to be misread as text, breaking revenue totals and date-range filters. Normalizing both exports to a common format before merging resolves this.

Can this tool process exports from more than two platforms at once?

Yes. Upload as many CSV files as needed in one session. Each file is processed independently with the same normalization settings, so all outputs share a consistent format ready for merging.

Will this fix quantity columns that mix integers and decimals across platform exports?

Yes. Numeric normalization rewrites all values in a column to a consistent numeric representation, resolving mixed integer and decimal formatting across different platform exports.

Does this tool work with CSV exports that have different column names across platforms?

You specify which columns to normalize per file. Since column names differ across platforms (e.g., 'order_date' in Shopify vs 'purchase-date' in Amazon), you enter the relevant column name for each file. The tool normalizes that column and leaves the rest unchanged.

Standardize CSV Exports from Shopify, Amazon, and 3PLs for Unified Reporting

E-commerce managers consolidating sales and inventory data from Shopify, Amazon Seller Central, and third-party logistics providers face a consistent formatting problem: each platform exports dates and numbers differently, and merging them into a single reporting view requires either manual reformatting or formula gymnastics. Deliteful's CSV Normalize Data Types tool standardizes these columns across all your platform exports before you merge them.

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A typical multi-channel e-commerce operation pulls order CSVs from Shopify (ISO dates, decimal amounts), Amazon (MM/DD/YYYY dates, no currency symbols), and a 3PL (DD/MM/YYYY dates, amounts with currency prefixes) and tries to merge them into a single inventory or revenue report. Date columns cannot be compared directly, numeric columns cannot be summed without stripping formatting, and pivot tables misclassify mixed-format columns as text. The manual fix — reformatting each export by hand before merging — is a recurring time cost that compounds across weekly or daily reporting cycles.

This tool processes your platform CSV exports and normalizes date and numeric columns to a consistent format across all files. Upload your Shopify, Amazon, and 3PL exports together, specify the order date, amount, and quantity columns, and download files that merge cleanly. The result is a unified dataset where date comparisons, revenue summations, and inventory calculations work without additional formula workarounds.

How it works

1
Export CSVs from each platform
Pull order, inventory, or sales CSV exports from Shopify, Amazon Seller Central, your 3PL portal, or any other channel.
2
Upload all exports to Deliteful
Upload all platform CSV files in one batch for simultaneous normalization.
3
Specify date and numeric columns
Enter the column names for order dates, revenue, and quantity fields — or use auto-detection across all files.
4
Select a unified date format
Pick a single date format to standardize across all platform exports for clean merging.
5
Download and merge
Download normalized CSVs and merge them into your reporting workbook or BI tool without reformatting.

Frequently asked questions

Why can't I directly merge CSV exports from Shopify and Amazon into one report?: Shopify and Amazon use different date formats and numeric conventions in their CSV exports. Merging them directly causes date columns to sort incorrectly and numeric columns to be misread as text, breaking revenue totals and date-range filters. Normalizing both exports to a common format before merging resolves this.
Can this tool process exports from more than two platforms at once?: Yes. Upload as many CSV files as needed in one session. Each file is processed independently with the same normalization settings, so all outputs share a consistent format ready for merging.
Will this fix quantity columns that mix integers and decimals across platform exports?: Yes. Numeric normalization rewrites all values in a column to a consistent numeric representation, resolving mixed integer and decimal formatting across different platform exports.
Does this tool work with CSV exports that have different column names across platforms?: You specify which columns to normalize per file. Since column names differ across platforms (e.g., 'order_date' in Shopify vs 'purchase-date' in Amazon), you enter the relevant column name for each file. The tool normalizes that column and leaves the rest unchanged.

Create your free Deliteful account with Google and merge your Shopify, Amazon, and 3PL CSV exports without reformatting every column — no card required.