Conversational Commerce

Conversational commerce picks up a shift in customer behavior. Many customers do not want to navigate through product catalogs but to ask a question and get an answer. Which printer is good for my home office is a conversational query, not a search query. The answer should be relevant, precise, and actionable.

For product data, that means it has to be interpretable by machines. A chatbot cannot answer if the data structure is unclear. Attributes have to be consistently maintained, use cases structurally described, recommendation logic built on solid relationships. With Agentic AI these requirements get even higher.

Pimcore PIM provides the structured data foundation for conversational commerce. Clear attribute models, semantic enrichment, and product relationships enable chatbots and voice interfaces to give trustworthy answers. With the Agent SDK, conversational workflows can be built directly on the Pimcore platform, from the use case which printer to order completion.