🛍️
AI email agent for e-commerce
Auto-answer order, shipping and product questions; never keep a customer waiting.
What hurts today
- ×"Where’s my order?" emails eat half your team’s day.
- ×Customers wait hours for a reply and the sale slips away.
- ×You copy-paste the same product description over and over.
- ×Refund/payment requests fall through the cracks and become bad reviews.
What you get back
- Median first-reply time drops from hours to seconds.
- Routine questions leave your team’s queue; humans focus on the complex ones.
- 70%+ automation rate on repetitive product/shipping questions.
- Sensitive requests escalate cleanly to you — no lost customer.
A typical exchange
Tap a chip to see different threads.
🛍️ AI email agent for e-commerce
Inbound mail
Hi, I placed an order 4 days ago and still nothing arrived. Where is the shipment?Agent reply
Hi! Your order was handed to the carrier yesterday — tracking link below, expected within 1-2 business days. Apologies for the delay.2 credits · approval-gated
- 1Accurate answers to order/shipping questions, grounded in your catalog (RAG).
- 2Reply to FAQs in seconds; free your team from repetitive work.
- 3Sensitive topics (refunds, payments) are escalated to you automatically.
- 4Replies in the customer’s language — Turkish to Turkish, English to English.
Tools at work
- Product knowledge (RAG): grounded in your catalog, price and stock.
- Smart drafts: written in your tone, sent in one click.
- Escalation: refunds/payments/legal routed to a human automatically.
- Labels & priority: routine / important / spam sorting.
Frequently asked
Does it integrate with Shopify, WooCommerce?
Instead of a direct integration, you point the agent at your store URL or feed it a CSV/PDF export. RAG answers order questions from that data.
Can it hallucinate?
When the agent can’t find a source, instead of making things up it says "I don’t know — let me escalate" and routes to you.
Could it act on a refund/payment email by mistake?
No. Every destructive action (issuing refunds, payment changes) requires on-screen approval; the agent can’t fire them automatically.
Related use cases
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