B2C Metadata

The b2c-metadata skill provides access to Business-to-Consumer (B2C) metadata within the Salesforce Commerce Cloud ecosystem. It enables AI agents to retrieve, analyze, and manage product, customer, and order data structures essential for e-commerce operations. This tooling bridges the gap between raw backend data and actionable insights for automated decision-making.

When to use it

• Retrieving real-time product catalog information for dynamic pricing or recommendation engines.
• Analyzing customer profile attributes to personalize marketing campaigns automatically.
• Validating order metadata against current inventory levels before fulfillment processes begin.
• Debugging data inconsistencies by querying specific schema definitions within the B2C environment.

Key capabilities

• Access to structured B2C metadata relevant to Salesforce Commerce Cloud instances.
• Support for querying product, customer, and transactional data entities.
• Integration with developer tooling pipelines for automated data verification.

Example prompts

• "Fetch the latest metadata schema for all active products in the North American region."
• "Retrieve customer segmentation tags associated with high-value accounts from the B2C database."
• "Validate the order status metadata for transaction ID 12345 against current inventory records."

Tips & gotchas

Ensure your AI agent has appropriate read permissions configured within the Salesforce Commerce Cloud instance before attempting to query sensitive customer or financial metadata. Limit queries to specific data subsets to prevent performance bottlenecks in high-traffic environments.