How GraphQL accelerates B2B Composable Commerce
summary
A bespoke PWA storefront maps dozens of dentist workflows to a precise product model that supports multi-classification, multi-dimension configuration and platform-based matching. APIs use GraphQL (with High graph as the CMS/PIM) plus Commerce layer, Algolia and SAP; front end ships ~250 KB initial payload and reaches feature-complete in about six months. Result: fewer requests, faster responses, global CDN reads, and five industry awards for a lightning-fast B2B composable commerce implementation.
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chapters (12)
- 0:00GraphQL and B2B Composable Commerce
- 1:09Thomas Medical case study
- 5:53Custom product model need
- 7:39Composable tech stack role
- 9:07GraphQL queries for features
- 11:58Development speed and front-end performance gains
- 13:22Business impact of GraphQL
- 14:51GraphQL goals and flexibility
- 15:12Q&A: Selling to stakeholders
- 16:15Q&A: Pricing engine and CMS
- 17:44Q&A: Developer and user experience convergence
- 18:46Closing and wrap-up
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