Los Angeles fashion boutique handling 500 monthly support conversations at $1,500/month with zero weekend coverage. Self-hosted AI system delivered: 90% cost reduction ($100/month total), sub-2-second response times, 24/7 availability, 10x capacity multiplier with same 7-hour human workload.
My client runs a high-end fashion boutique in Los Angeles with beautiful inventory, loyal customers, and solid revenue. But they had a problem quietly bleeding cash: customer support.
Their team spent 67 hours monthly answering the same questions. "Where's my package?" "When will it arrive?" "What's the status?" 40% of support time went to order tracking alone.
Weekends and evenings left customers hanging. Messages piled up until Monday morning. No coverage meant lost sales from time-zone-mismatched shoppers and frustrated VIP customers.
| Before Automation | After Automation |
|---|---|
| $1,500/month support costs | $100/month total costs |
| Hours-long response delays | Under 2-second responses |
| No weekend/evening coverage | 24/7 availability |
| 67 hours human time monthly | 7 hours for escalations only |
A Los Angeles fashion boutique needed to eliminate repetitive support work while maintaining response quality and staying within budget. Hiring more staff would triple payroll without solving the after-hours gap. They wanted automation that could handle volume scaling without adding headcount.
We built a self-hosted AI support system powered by n8n that connects their Shopify store to an AI customer service agent. The system monitors both website chat and email, pulls real-time order and product data from Shopify APIs, and responds instantly to customer questions.
UChat handles the customer-facing interface while GPT-4o-mini through OpenRouter generates responses that match their brand voice. Complex cases (refunds, damaged goods, special requests) escalate automatically to Zendesk with full conversation history, so human agents start with context instead of asking customers to repeat themselves.
This automation was built using the following tools and platforms:
Watch the complete system demonstration and setup process:
Want to see how much you could save with AI customer support automation? Use our interactive calculator to estimate your potential cost reduction based on your current support volume:
We built this system for a fashion boutique handling 500 conversations monthly. It saves them $17,000 annually while providing better customer experience than their previous manual approach.
The economics work for any conversation volume: fixed infrastructure costs, scaling without headcount. Whether you're handling 500 or 5,000 monthly conversations, the cost structure remains predictable.
The question isn't whether AI can handle your support load. The question is whether you want to keep paying human hours for work that doesn't require human judgment.
See exactly how this architecture applies to your specific business and conversation volume.
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