How a solo Shopify founder cut 2.5 hours of daily support work and added $2,100/month in recovered revenue
The Problem
The founder was spending 3 hours every morning answering the same customer support questions — shipping times, return policies, product details — typed out manually one by one. Inventory was managed in a Google Sheet updated by hand after every order. There was no abandoned cart recovery, and one attempt to set up Klaviyo ended after a lost weekend of configuration.
The Solution
We built an AI customer support responder trained on the brand's FAQ and product catalog, a personalized abandoned cart recovery sequence referencing the specific products left behind, and an inventory intelligence dashboard with auto-drafted reorder emails triggered by low-stock thresholds.
The Results
- ↑2.5 hours saved daily on customer support
- ↑$2,100 in additional monthly revenue from cart recovery sequence
- ↑Zero stockouts in the first 90 days (was happening monthly)
- ↑60–80% of support inquiries handled automatically without human involvement
The situation
A solo founder was running a growing Shopify skincare brand by herself. Every morning started the same way: open the inbox, work through 20–30 customer questions, type out the same answers she'd typed the day before, and hope there wasn't anything unusual that would blow up the morning.
Shipping to Canada. Return policy. "Does this work for sensitive skin?" Same 12 questions, different names, every single day. By the time she cleared the inbox it was mid-morning and she hadn't done a single thing to grow the business.
Her inventory was a Google Sheet she updated manually after every order. Stockouts happened monthly — she'd run out of a bestseller and not notice until a customer emailed to say their order was cancelled. She'd tried to set up Klaviyo for abandoned cart recovery but gave up after a weekend of configuration that went nowhere.
What we built
AI customer support responder
An AI system trained on the store's FAQ, return policy, shipping information, and full product catalog. When a support ticket comes in through Gorgias, the system reads the question, matches it against the knowledge base, and sends a response automatically for any tier-1 inquiry.
Common questions — shipping times, return eligibility, ingredient questions, product recommendations — get instant, accurate replies. Anything complex or outside the training data gets flagged to the founder with full conversation context, so she never has to read from scratch.
The system handles 60–80% of inquiries without any manual involvement.
Personalized abandoned cart recovery
A 3-email sequence that fires when a cart is abandoned:
- 1 hour after abandonment: A warm, personalized email referencing the specific products left in the cart — not a generic "you forgot something"
- 24 hours later: A follow-up with social proof for the products in the cart
- 72 hours later: For high-value carts, a limited discount offer
Claude generates the email copy referencing the exact cart contents. The sequence adjusts tone based on cart value.
Inventory intelligence dashboard
A custom internal tool that pulls live stock data from Shopify. When a product hits a configurable low-stock threshold, the dashboard flags it and auto-drafts a supplier reorder email or purchase order. The founder reviews and sends in one click — no more manually checking spreadsheets, no more surprise stockouts.
The result
Within 30 days, morning support sessions went from 3 hours to about 20 minutes of reviewing escalations. The cart recovery sequence started generating consistent additional monthly revenue — $2,100 in month one — entirely on autopilot.
In the first 90 days with the inventory dashboard, there were zero stockouts. The bestseller stayed in stock through a traffic spike that previously would have wiped it out.
"I was spending 3 hours a day answering the same 12 questions. Someone would ask about shipping to Canada and I'd type out the same answer I typed yesterday. It was making me crazy."
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