AI chat for clothing stores: answer fit, stock and returns questions 24/7
It's 11:40pm. Someone has your linen shirt in the cart, sizes M and L both open in tabs, and one question: "I'm 5'10" and usually a medium, does this run small?" Nobody answers until 9am. By then they've ordered both sizes, planning to return one, or closed the tab.
Short answer: for a clothing store, an AI agent earns its place by answering the questions that stop a shopper at the size selector: how a piece fits, what it's made of, when a size is back, and how exchanges work. Trained on your size guide, product pages and return policy, it answers at any hour and hands anything unusual to your team with the full conversation.
Clothing gets more pre-purchase questions than most categories because nobody can try anything on. Every unanswered one is a lost sale or a future return.
The questions clothing shoppers ask most
Fit. "I'm between an M and an L." "Does this run small?" "How long is the inseam on the 32?" A size chart gives measurements; shoppers want to know how it fits a body like theirs.
Fabric and care. "Is this see-through?" "Will it shrink?" Usually answered somewhere on the page, just not where the shopper is looking.
Stock and restocks. "When is the black in size 8 back?"
Exchanges. "If it doesn't fit, can I swap sizes?" "Who pays return shipping?" The answer often decides the sale.
Order status. "Where is my order?" after checkout, in bursts after every sale.
What to train the agent on
Fit notes per product, not just the size chart: "runs small, size up between sizes", "model is 5'9" wearing S". If those only live in your team's heads, write them down first. They help shoppers on the page too, which means fewer questions before the agent answers a single one.
Fabric and care details, your exchange and return policy (window, who pays shipping) and shipping times by region.
Starlix trains on your store's products, policies and docs, so it answers from your size guide, not generic sizing advice. It reads live Shopify orders, which means "where is my order?" gets the real status. It recommends from your catalog, which means a shopper whose size is gone hears about a similar piece that's in stock instead of leaving.
What to hand to a person
Damaged or wrong items, refund disputes, alterations and anything that needs judgment. The agent passes the chat to your team with the full history, so the shopper never repeats themselves. You decide which actions it may take alone and which need your approval.
Where clothing shoppers ask
Plenty of apparel sales start in an Instagram DM: "is this back in medium?" under a post. Starlix answers on Instagram, Messenger, WhatsApp and your website with the same training, which means the answer is the same wherever the question lands.
Start with three products
Pick your three best sellers and write a fit note for each. Train Starlix on your store, then ask it the sizing, fabric and exchange questions you got last week. If it answers the way your best team member would, turn it on.
FAQ
Can an AI agent give sizing advice? Yes, if it's trained on your size guide and fit notes. It should answer from your guidance, not general rules, and suggest your exchange policy when a shopper is unsure.
Will it work on Instagram DMs? Yes. Starlix answers on Instagram, Messenger and WhatsApp as well as your website.
Does it work with Shopify? Yes. It reads live orders and your catalog, and installs from the Shopify App Store.