Customer Query → DeepSeek Reasoning → Personalized Response

Configure Zendesk triggers to automatically capture new tickets with priority levels, customer history, previous interactions, and product context. Set up webhooks to send this data to your automation workflow whenever a ticket requires AI analysis.

Query your CRM or customer database to gather additional context about the customer including subscription level, purchase history, previous issues, preferences, and account status. This context will help DeepSeek provide more personalized responses.

Send the support query along with customer context to DeepSeek with prompts designed to leverage its reasoning capabilities. Ask it to identify the root cause, consider customer history, and generate both a direct response and a proactive solution strategy.

Post DeepSeek's generated response as a draft in Zendesk, along with appropriate tags for urgency, category, and suggested next actions. Include confidence scores and flag any responses that should be human-reviewed before sending.