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E-Commerce

Autonomous Tier-1 Customer Support Resolution

Learn how a high-volume online retailer achieved an 85% automation rate on tier-1 support tickets, reducing average resolution time from 12 hours to under 3 minutes.

U
2.1s
Automation Rate
85%of Tier-1 tickets
Resolution Time
< 3 minsdown from 12 hours
CSAT Score
4.8/5higher than human baseline

The Challenge: Black Friday Scaling

An international e-commerce brand faced an annual crisis during the holiday shopping season. Ticket volumes would spike by 400%, leading to massive backlogs for "Where is my order?" (WISMO), returns, and basic policy questions. Hiring temporary staff was expensive, slow, and led to inconsistent customer experiences.

The support team was experiencing a 30% churn rate post-holidays simply due to the repetitive, soul-crushing nature of copying and pasting tracking numbers from the logistics provider into the Zendesk panel.

The Solution: The "Resolution Squad"

Instead of plugging a basic LLM chatbot into their website, they used ordy.ai to create an orchestrated "Resolution Squad" directly integrated into Zendesk and Shopify:

  • The Triage Agent: Reads incoming tickets, classifies the intent, gauges customer sentiment, and routes complex issues (like damaged goods) directly to human managers.
  • The Fulfillment Agent: For WISMO tickets, it queries the logistics API, cross-references weather delays affecting the specific route, and drafts a highly personalized update.
  • The Returns Agent: Automatically validates return eligibility based on purchase date, generates a shipping label via the 3PL API, and issues a conditional refund hold.

The Results

Because the agents possess specific tools and narrow scopes, hallucination rates dropped to near zero. The orchestration engine tracks the cost of every interaction, ensuring the compute spent per ticket is fractions of a cent.

From Copilot to Autopilot

Moving from manual agent assistance to full orchestration meant rethinking the entire support pipeline. Agents don't just "chat"; they securely interact with the backend APIs to modify orders autonomously, adhering to strict business logic policies.

Jessica Reynolds

"Our CSAT actually went UP during Black Friday. Customers loved getting instant refunds and tracking updates without waiting in a queue."

Jessica ReynoldsHead of Customer Experience

Customers received instant, accurate resolutions 24/7. Meanwhile, human support agents were freed from copy-pasting tracking links and could focus entirely on high-value retention conversations, personalized upselling, and complex escalations.

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