AI-Powered Zendesk Automation for Retail Support
Challenge
The retailer was experiencing a steady increase in customer support tickets related to orders, deliveries, returns, refunds, account access, and product issues.
Although Zendesk was already being used to manage customer requests, support agents still had to manually read unstructured messages, identify the customer’s intent, assign categories and tags, determine urgency, search for relevant information, and write responses from scratch.
The company needed to increase its support capacity and improve response times without immediately hiring additional agents or replacing its existing Zendesk environment.
The retailer was experiencing a steady increase in customer support tickets related to orders, deliveries, returns, refunds, account access, and product issues.
Although Zendesk was already being used to manage customer requests, support agents still had to manually read unstructured messages, identify the customer’s intent, assign categories and tags, determine urgency, search for relevant information, and write responses from scratch.
The company needed to increase its support capacity and improve response times without immediately hiring additional agents or replacing its existing Zendesk environment.
Solution
WiserBrand developed and deployed an AI-powered automation layer integrated directly with Zendesk.
Whenever a new ticket entered the platform, the automated workflow analyzed the customer’s message, identified the intent, extracted relevant order or account information, assigned the appropriate category and urgency level, and detected any missing details.
Using approved response templates, the company’s knowledge base, available customer context, and examples from previously resolved cases, the AI agent generated a personalized response draft.
The completed draft was returned to Zendesk, where a support agent could review, edit, approve, request additional information, or escalate the ticket.
The system also updated ticket statuses, applied relevant tags, and recorded both the AI recommendation and the agent’s final decision. This human-in-the-loop approach allowed the company to automate repetitive preparation work while keeping its support team in control of customer communication.
WiserBrand developed and deployed an AI-powered automation layer integrated directly with Zendesk.
Whenever a new ticket entered the platform, the automated workflow analyzed the customer’s message, identified the intent, extracted relevant order or account information, assigned the appropriate category and urgency level, and detected any missing details.
Using approved response templates, the company’s knowledge base, available customer context, and examples from previously resolved cases, the AI agent generated a personalized response draft.
The completed draft was returned to Zendesk, where a support agent could review, edit, approve, request additional information, or escalate the ticket.
The system also updated ticket statuses, applied relevant tags, and recorded both the AI recommendation and the agent’s final decision. This human-in-the-loop approach allowed the company to automate repetitive preparation work while keeping its support team in control of customer communication.
Results
- 67% faster first-response time
- Response drafts generated in under 60 seconds for common requests
- Approximately 3 hours saved per support agent each day
- Around 30 hours of support capacity recovered daily across the 10-person team
- 2× higher ticket throughput without hiring additional agents
- More consistent ticket categorization, routing, tagging, and response quality
- 67% faster first-response time
- Response drafts generated in under 60 seconds for common requests
- Approximately 3 hours saved per support agent each day
- Around 30 hours of support capacity recovered daily across the 10-person team
- 2× higher ticket throughput without hiring additional agents
- More consistent ticket categorization, routing, tagging, and response quality