Learn how B2B buyers find and order what they need: Product Search for scoped, price-aware catalogs, Shopping Lists for shared and repeat purchasing, and price faceting for catalog browsing.
Learning objectives
After completing this module, you should be able to:
- Explain why Product Search suits B2B catalog browsing and how it differs from B2C discovery.
- Design Shopping List strategies for B2B, including shared lists, reorder templates, and list-to-Cart conversion.
- Configure Product Search to scope results to a buyer's commercial context using the GraphQL
productsSearchquery. - Account for variant-level matching when deciding which Product Variant data to display.
- Use price facets and filters to build B2B catalog browsing experiences.
Prerequisites
- Design B2B catalogs module from this learning path, which sets up the Store, Channel, and Product Selection scope that search filters against.
- Implement carts and shopping lists learning path, which covers the Cart lifecycle and Shopping List basics this module builds on.
Audience
- Functional Architects and Solution Designers responsible for evaluating platform capabilities and recommending B2B modeling strategies.
The B2B catalog, pricing, and product-data decisions you make across this learning path also determine whether AI agents can discover and transact with your Products. Structured, machine-readable product data and real-time APIs matter more as agentic procurement grows. For how autonomous purchasing agents interact with B2B commerce, see the Prepare for agentic commerce learning path.