How to build a shopping cart with m-Power

This deep dive into m-Power's build process creates a working online shopping cart from scratch. Customers can browse a product catalog, add items to a cart, and check out securely, then receive an email confirmation and receipt. The whole build takes about an hour. Watch the full walkthrough below.

m-Power

The m-Power Demo Video Series: shopping cart

The m-Power Demo Video Series takes you on a deep dive into m-Power's build process, walking you through a start-to-finish development project. In every video, we tackle a project that would require days or weeks of manual coding, and complete the whole thing in under two hours.

In this project, we build a custom shopping cart. Customers can securely browse a product catalog, add items to their cart, and check out. Once they submit an order, they receive an email confirmation and a receipt. Each step is explained as we go.

There are very few instances I've run into with m-Power where I'm hitting a brick wall and the software itself is a limiter. There's very little we can't do with it. Our imagination is the only limiter.

Case Escher, Employee Services Consultant, The Partners Group

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Page updated July 2026

How long does it take to build a shopping cart like this?

The full walkthrough runs about an hour, from an empty data dictionary to a working cart with a catalog, checkout, receipts, and confirmation emails. Your own timeline depends on scope and customization, but the build steps are the same ones shown here.

The project places the cart behind a login, so only registered users can browse the catalog and place orders. m-Power supports both application-level and row-level security, which you can add to any application you build.

No. The build process is template-driven, so people who know their data can build the catalog, cart, and checkout without writing code. Developers can go further and edit the generated code directly when they want to.
See it for yourself

See a shopping cart built over your data

We'll walk through the build live, using your data and your use case, and answer any questions your team has.