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Information Architecture for Multichannel PIM

Information Architecture for Multichannel PIM

Today, you need to be able to curate rich products descriptions alongside classic product information to market and sell products more successfully.

The heart of any ecommerce business are the products. Proper information architecture is the key to avoiding the mess you can get into overtime. It needs to be stored in a way that is reusable across multiple channels and in a format that developers can use regardless of language and channel.

Products in All Shapes and Sizes

The product information management in Crystallize can manage any type of product from one-off sales to recurring subscriptions. Products can either physical goods to be shipped or virtual products like enabling a software service.

However, one size does not fit all. Products come in all shapes and sizes. For that reason, you need to organize the structures or groups of products by the different properties they describe. In Crystallize, we call these shapes.

If you consider a t-shirt and a pair of jeans they might be fine sharing the same describing shape. What if you in the same shop are selling access to a streaming service? Would you use the same properties to describe a t-shirt and a monthly subscription to a streaming service?

This is where shapes and components come into the picture. Simply put a shape defines a set of components that make out the way you can describe and enrich a product. Remember we want both to have a good structure and we want rich information to sell the products.

Semantic Structures for PIM Shapes

Ideally, we bring semantics into the description of different products. If we have a good semantic structure we can for example compare products of similar shapes. Like all clothes made of cotton in Italy.

A simple example of a clothing shape:

  • Name
  • Short description
  • Price
  • Product picture
  • Properties:
  • Fabric
  • Manufacturing country
  • Eco certification

Here we define a properties component that is common for all clothing products. You typically want to know if it is wool, cotton. If it is manufactured in Europe or somewhere else. Does the piece of clothing have some sort of eco-certification? A describing shape like this works great for clothes, but what if we have a subscription to a service?

A digital service shape would be different:

  • Name
  • Service description
  • Monthly price
  • Picture
  • Teaser video
  • Terms of service

These are simple shapes, but still, show that you should ideally have a different shape to describe clothing than you would use to describe a digital subscription service.

GraphQL to Query Product Information Fast

Assuming you have a neatly structured set of shapes describing your products. That product information is curated properly. And finally that the product information is stored and is available in a properly structured format like e.g. GraphQL.

This is the approach we have in Crystallize.

With GraphQL developers can easily retrieve the structured rich product information from the Crystallize repository - in real-time.

Give us a try or schedule a 1-on-1 demo so we can show you the benefits of our approach and the benefit for your business use case.