A revolution is happening in the field of digital commerce, in how we structure our e-commerce platforms, and it has the potential to transform how businesses operate online. Yes, we are talking about the separation of content and commerce data. A shift is emerging today, where content and commerce data are separated into distinct systems. This 'composable approach' argues that decoupling these layers facilitates agility, scalability, and efficiency.
Content Data
• Product descriptions and specifications • Category structures and relationships • Customer reviews and user-generated content • Images, videos, and other media • Marketing copy and educational materials • Blogs and email newsletter content
Commerce Data
• Inventory levels • Order processing • Customer accounts • Pricing information • Payment transactions • Shipping details
Why the tangle hurts
Content data includes everything that tells the story of your products, whereas commerce data focuses on the business side. When these two very different types of data are tangled together in one system, neither gets the attention it deserves. Your marketing team struggles with clunky content tools built into your commerce platform, while your developers have to navigate complex commerce logic just to update a product description. There are too many inevitable dependencies within your product teams. So when one department lags, the others lag too.
Getting a composable estate to move at its potential pace is as much about people and process as it is about architecture. NeuralWorks is one of the tools we lean on, alongside the practitioners who have run these migrations before.
NeuralWorks is one of the frameworks in our toolkit — combined with our teams’ delivery experience, it helps us build AI-native outcomes with the appropriate discipline.