Headless Commerce - Decouple Experience from Backend
Headless commerce is the separation of a website’s front-end (the customer-facing digital storefront) from the backend (all the systems, processes, workflows, and tools that allow your business to operate). Whether companies are looking to reduce technical debt, better handle a content heavy site, consolidation of code & integration, or simply trying to manage aggressive growth plans for the digital space – headless commerce presents a unique opportunity.
These values can be unlocked by applying these concepts early on and adopting a roadmap & strategy that aligns with the principles supporting these technologies:
Implementing a headless CMS can provide businesses with the ability to manage their content in a single location and then quickly deliver it to multiple platforms. This will ensure that businesses can quickly and easily deploy new content, without having to manage multiple versions or engage technology teams to effectuate.
Taking a content-first approach can help businesses ensure that their content is optimized for each platform and customer experience. This will ensure that customers have an optimized experience on each platform and that businesses can maximize their efficiency.
Separate responsibilities between front-end and back-end teams to ensure that their digital experiences are tailored to each platform and that the right resources are being used for the right activity.
Adopt a modularized, or micro-service, based approach to the business enterprise. With a decoupling of front-end, backend services should be selected based on best-of-breed capabilities and leverage SaaS as much as possible to reduce potential increases to technical debt.
With the adoption of headless commerce, retailers should shift their focus to personalization and tailored customer experiences. Headless provides the unique opportunity to iterate quickly on user experience, experimentation should not only be expected but encouraged. Couple any experimentation with a collection of well understand analytics and KPIs to interpret the outcomes of changes.