Company Profile
The Challenge
NorthStar Commerce sells premium outdoor gear direct-to-consumer through Shopify. With 4,200+ orders monthly and only 2 support staff, they were drowning in repetitive tickets: order status inquiries, return requests, shipping questions, and product FAQs.
"We were getting 180+ tickets per day," explains Marcus Webb, NorthStar's founder. "My two support people could handle maybe 60 each. The rest waited 24-48 hours for a response. We were losing customers to frustration."
Ticket Breakdown (Before OpenClaw)
94% of tickets were repetitive queries with predictable answers—perfect for automation.
The Solution
NorthStar deployed a single OpenClaw instance through Rapid Claw, configured as a support automation agent with direct access to their Shopify admin, Gorgias helpdesk, and ShipStation dashboard.
What OpenClaw Handles
Order Status Queries
Customer emails asking "where's my order?" OpenClaw looks up the order in Shopify, checks ShipStation for tracking, and sends a personalized response with delivery estimate.
Return Initiation
Validates return eligibility (30-day policy, item condition), generates return label via ShipStation API, and sends instructions. Human review only for edge cases.
Product FAQs
Answers sizing questions, material composition, care instructions by referencing product pages and an internal FAQ database. Includes relevant product links.
"Our CSAT score actually went up after deploying OpenClaw. Customers don't care if a human or AI answers—they care about getting help fast. 4-minute response times beat 24-hour waits every time."
Marcus Webb, Founder, NorthStar Commerce
The Results (After 90 Days)
Tickets Handled Daily
3x capacity with same team
Avg. Response Time
Near-instant for automated tickets
CSAT Score
16% improvement in satisfaction
Avoided Hiring Cost
2 FTE equivalent at $4,200/mo each
Human + AI Workflow
OpenClaw doesn't replace the support team—it amplifies them. Here's how tickets flow:
- 1.New ticket arrives in Gorgias
- 2.OpenClaw classifies intent (order status, return, FAQ, complex)
- 3.If automatable: Drafts response, looks up data, sends reply (4 min avg)
- 4.If complex: Adds context notes, escalates to human queue
- 5.Human agents focus on the 32% that actually need human judgment
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