The company: A direct-to-consumer skincare brand with about $2M in annual revenue, sold exclusively through Shopify. Three full-time employees: the founder, a marketing person, and a customer service rep.
The problem: Their customer service rep was handling 80+ emails per day. Response times had crept up to 4-6 hours. The founder was spending evenings answering overflow emails. They couldn't justify hiring another person, but they were losing customers to slow responses.
What they tried first: Canned responses and email templates. It helped a bit — maybe saved 30 minutes per day — but customers could tell the responses were generic, and anything slightly outside the template required a manual response anyway.
The implementation: They set up an AI customer support agent that integrates with Shopify. The setup took about 2 hours:
- Connected the agent to their Shopify store (order data, product catalog)
- Fed it their existing FAQ page and 50 of their best email responses
- Configured escalation rules (anything about allergic reactions, refunds over $100, or angry tone goes to human)
- Ran in "draft mode" for one week
Week 1 results (draft mode):
- Agent drafted responses for 85 out of 120 weekly emails
- 60 of those were good enough to send as-is
- 20 needed minor edits
- 5 were wrong and needed to be rewritten
- 35 were correctly escalated to the human rep
They spent the week correcting the bad responses and feeding those corrections back to the agent.
Week 2 and beyond (auto-send enabled for simple queries):
- Order status, tracking, and delivery questions: fully automated
- Return policy questions: automated with human review for edge cases
- Product recommendations: automated based on skin type questionnaire
- Everything else: drafted by AI, sent after human review
The numbers after 3 months:
- 70% of support emails handled without human intervention
- Average response time: 4 minutes (down from 4-6 hours)
- Customer satisfaction score: improved from 4.1 to 4.6 (out of 5)
- The customer service rep now spends 3 hours/day on support (down from 8)
- She uses the freed-up time for community management and social media
What they'd do differently:
- Start with draft mode for 2 weeks, not 1 (they went live too early on product recommendations)
- Invest more time upfront in writing example responses in their brand voice
- Set up separate handling for VIP/repeat customers sooner
The cost: $79/month for the AI agent. The time savings are worth roughly $2,400/month (5 hours/day x $20/hour x 24 working days). That's a 30x return.
The founder's take: "I was skeptical. I thought customers would hate talking to a robot. Turns out, they just want fast, accurate answers. They don't care who — or what — is sending them."