B2C Querying Data
ListedRetrieves customer data and order history from Salesforce Commerce Cloud to inform personalized B2C marketing efforts.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add salesforcecommercecloud/b2c-developer-tooling --skill b2c-querying-data -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
salesforcecommercecloud
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Install target
Live repository
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About this skill
What it does
This skill enables AI agents to retrieve and analyze customer data within the Salesforce Commerce Cloud ecosystem. It allows for dynamic querying of product catalogs, order histories, and customer profiles to support personalized commerce interactions.
When to use it
- Retrieving real-time inventory levels or product specifications for a specific SKU during a chat session.
- Fetching a customer's past purchase history to recommend complementary items based on previous behavior.
- Looking up account details such as shipping addresses or loyalty points before processing a checkout request.
- Querying order status and tracking information when a user asks about a recent delivery.
Key capabilities
- Connects directly to Salesforce Commerce Cloud data sources.
- Supports complex filtering and sorting of B2C commerce entities.
- Returns structured data ready for natural language generation or API integration.
- Handles secure authentication for accessing sensitive customer records.
Example prompts
- "Can you show me the current stock levels for the Nike Air Max 90 in size 10?"
- "What are the top three products this customer has purchased in the last six months?"
- "Retrieve the shipping address associated with order number #98765."
Tips & gotchas
Ensure your AI agent is properly authenticated with the necessary Salesforce Commerce Cloud credentials before attempting to query sensitive data. Be mindful of rate limits imposed by the underlying platform when executing frequent or bulk queries.