Multi-vendor E-commerce Data Model - Manages orders, inventory, customers etc. We have designed the multi-vendor E-commerce entity relationship diagram and the SQL scripts for creating the multi-vendor E-commerce database schema

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Sample multi-vendor E-commerce database design for implementing the best e-commerce database schema

E-commerce Data Model

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E-commerce database design

Multi-vendor E-commerce database schema design that ensures full track of orders, items stock, price and discounts, customers, etc.

Features

Powerful data model for a multi-vendor E-commerce platform. Allows to create and manage complex orders. Ensures full track of items stock, price and discounts, customers, etc.

E-commerce Entity Relationship Diagram | E-commerce ERD | E-commerce database diagram
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E-commerce database diagram subject areas

E-commerce database diagram and explanation

Get powerful insights about entities and attributestables and columns, data workflows and business use cases.

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License editions

Purchasing a STANDARD or PROFESSIONAL edition of E-commerce Data Model Pack grants you a perpetual user license and entitles you to:

*Should you wish to continue receiving SQL scripts updates, new builds and priority customer support you can optionally renew your maintenance subscription on a monthly basis. Learn more about Data Model Pack editions.

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Purchase

All purchase orders are securely processed by our e-commerce service provider Lemon Squeezy, a Stripe company.

When you have paid the license fee, you will be sent an email containing a License Key and the web address of where you can download the .ZIP archive that contains the full version of the purchased data model.

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If you are looking for Help Docs, Frequently Asked Questions or to get in touch with support, you can visit our Help Center.

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Documentation

You can learn from our detailed documentation about the features and technical design of each data model and how to achieve your specific objectives with Data Model Pack.

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SQL scripts example

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We have already designed the data model and prepared the SQL scripts for creating the database schema objects.

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