Bigcommerce LEDs Store
Client: Flexfireleds
A high-performance BigCommerce e-commerce store specializing in LED product sales, engineered to deliver a seamless shopping experience whi…

What we set out to build and why it mattered to Flexfireleds.
A high-performance BigCommerce e-commerce store specializing in LED product sales, engineered to deliver a seamless shopping experience while leveraging advanced analytics and marketing capabilities through Google Tag Manager integration.
Constraints, risks and the problem we had to solve first.
One of the core challenges was enabling complex product customization within the constraints of a traditional BigCommerce storefront. We solved this by engineering a custom product configurator using Next.js and embedding it into the storefront via an iframe, creating a decoupled architecture that allowed for rich, interactive customization capabilities. Beyond the configurator, We tackled site performance issues caused by external review data fetching by implementing a Next.js caching strategy with periodic revalidation.
How we delivered.
- 01
We solved this by engineering a custom product configurator using Next.js and embedding it into the storefront via an iframe, creating a decoupled architecture that allowed for rich, interactive customization capabilities. Beyond the configurator,
- 02
We tackled site performance issues caused by external review data fetching by implementing a Next.js caching strategy with periodic revalidation.
Languages, runtimes and platforms used to ship this engagement.
“Under the hood, the platform leverages BigCommerce as the core e-commerce backend, Next.js for the custom configurator, cross-window event-based messaging, and strategic caching for third-party data fetching.”
Screens & deliverables.









The full story.
A high-performance BigCommerce e-commerce store specializing in LED product sales, engineered to deliver a seamless shopping experience while leveraging advanced analytics and marketing capabilities through Google Tag Manager integration.
One of the core challenges was enabling complex product customization within the constraints of a traditional BigCommerce storefront. We solved this by engineering a custom product configurator using Next.js and embedding it into the storefront via an iframe, creating a decoupled architecture that allowed for rich, interactive customization capabilities.
Beyond the configurator, We tackled site performance issues caused by external review data fetching by implementing a Next.js caching strategy with periodic revalidation.
Under the hood, the platform leverages BigCommerce as the core e-commerce backend, Next.js for the custom configurator, cross-window event-based messaging, and strategic caching for third-party data fetching.
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