normalize

Normalize Ecommerce Orders

Flatten and normalize ecommerce order exports into downstream-ready JSON

Flattens nested order and customer structures
Normalizes pricing, casing, and values
Produces deterministic downstream order schemas

Paste an ecommerce order export — instantly preview normalized order records locally in your browser.

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Why this package exists

Common problems

Ecommerce exports frequently nest customer and order metadata several levels deep while downstream systems expect flatter records.
Order totals, quantities, and pricing often arrive as strings instead of stable numeric values.
Different exports use inconsistent field casing and naming (`total_price`, `totalPrice`, `Total Price`) across systems.
Analytics, warehouse, and AI workflows require deterministic order schemas across every export source.

When to use

Use this when normalizing ecommerce order exports from Shopify, WooCommerce, Stripe, marketplaces, or partner systems before analytics, warehouse ingestion, dashboards, APIs, or AI workflows.

Expected outcome

A normalized ecommerce order dataset with flattened customer fields, stable keys, consistent casing, and deterministic downstream order structure.

Automatically detects

Nested customers
Line items
String numbers
Date strings
Mixed casing

What the wizard asks

3 steps

Each step shows your input, the question, and a preview of the output.

1
Flatten nested ecommerce order structures?
Collapse nested customer and order objects into flat downstream order fields.
2
Normalize ecommerce field values and casing?· Optional
Lowercase emails, normalize formatting, and standardize values before downstream processing.
3
Normalize every order record into the same schema?· Optional
Ensure every downstream order record has the same keys, shape, and ordering.