AI Shopping Assistant for Fashion & Apparel
Shop Me answers category-specific product questions, recommends the right Shopify SKU, and moves shoppers into checkout from the same conversation.
Fashion shoppers do not arrive knowing the SKU. They arrive with a vibe in mind, a body shape, an event next Saturday, and a size that runs different in every brand they have ever bought. Shop Me sits on your Shopify store and handles the actual conversation: fit questions, fabric weight, size charts, styling, returns policy, and "does this come in olive". It pulls from your real catalog, your real size guide, and your real policies, and it adds the matching variant to cart while the customer is still asking.
Your size guide lives three clicks deep and most shoppers will not find it. They land on the PDP, second-guess between M and L, and bounce. Shop Me answers fit and measurement questions in chat using your size chart and product copy, then loads the variant they actually need — no tab-switching, no guessing.
Apparel return rates are the highest in ecommerce, and most of those returns are sizing. When Shop Me confirms hip, bust, inseam against your size chart before checkout, the buyer gets the right variant the first time. Fewer wrong-size orders means fewer reverse-logistics costs eating into AOV.
A customer wants the dress in size 8 black, but only size 12 is left. Today they leave. Shop Me reads live inventory, suggests the closest in-stock alternative — same fit, similar palette — or offers a back-in-stock alert tied to their email so the shopper does not vanish.
Shoppers ask "what shoes go with this" and "is this office-appropriate" at 11pm on Sunday. Your team is asleep. Shop Me answers from your collection, suggests two or three pairings from your own catalog, and links straight to those PDPs — turning a styling question into a multi-item cart.
Premium apparel buyers care about fabric content, GSM, lining, and washing. If they cannot get a clean answer, they assume the product is cheap. Shop Me surfaces fabric composition, weave, and care instructions from your product data so the conversation feels like talking to a knowledgeable boutique associate.
Example 1
Customer
I'm 5'4, 140 lbs, usually a medium in Zara dresses. Will this midi dress fit me, and does it run long?
Shop Me
For your measurements, a Medium should work — our size chart puts a 36" bust and 30" waist in M, which lines up with how most Zara M wearers fit ours. Heads up though: this midi is cut for 5'7"+, so on you it will read maxi length and likely brush the ankle. If you want a true midi look, the Estelle Wrap Dress in Medium is 6cm shorter and a similar A-line silhouette. Want me to add the Estelle Wrap to your cart, or would you rather try this one with the longer fall?
Example 2
Customer
What's the actual fabric on the Linen Blazer? I don't want anything that wrinkles after one wear.
Shop Me
The Linen Blazer is 60% European linen, 40% viscose, around 220 GSM. That blend is intentional — pure linen creases hard, but the viscose softens the recovery so it bounces back overnight on a hanger. It is dry-clean recommended, but most customers steam it on low at home. If you want zero-crease, the Tencel Blazer in the same cut is a better pick — it travels well and reads similar in photos. Want me to pull both up so you can compare colors and pricing side by side?
Example 3
Customer
Looking for an outfit for a daytime wedding in May. Pastel, midi, not too revealing. What do you have in size 10?
Shop Me
Three options in size 10 fit that brief. The Marigold Midi in butter yellow is in stock — modest neckline, fluted sleeve, hits below the knee. The Lavender Smock Dress is also in size 10, slightly more relaxed, good if your venue is outdoors. The Sage Wrap in size 10 has one left and tends to sell through. Pricing is similar across all three. Want me to start a cart with the Marigold so we hold it while you decide, and pull matching block heels we carry?
A typical fashion Shopify store runs Shop Me across three workflows. First, fit triage — customers paste height, weight, and a brand they normally wear, and Shop Me cross-references the store size chart, recommends a variant, and adds it to cart with one tap. Second, styling and bundle building — when a shopper lands on a single PDP, Shop Me proactively offers two or three pieces from the same collection that pair well, increasing UPT and AOV without aggressive popups. Third, post-purchase support — care instructions, return windows, exchange-for-different-size flows, and shipping ETAs all run through chat instead of inflating your help desk. Founders also use the growth dashboard to see which fit questions repeat the most, which is usually a signal that a specific PDP needs a clearer size note or a model-wears callout. Multilingual support means a Hindi-speaking customer in Tier 2 India and a French-speaking customer in Quebec both get answered the same way, in their own language, without you hiring a 24/7 team. Drop-off analytics show exactly where in the conversation buyers leave — usually at price, at shipping cost, or at "is this final sale" — and you fix the friction one node at a time.
Fashion buyers come from everywhere. Shop Me detects the customer language and replies in it — useful when you sell into India, Southeast Asia, the Gulf, or Europe and your customers think in Hindi, Arabic, French, or Portuguese before they think in English.
Once Shop Me has confirmed size, color, and fit, the customer does not bounce back to the PDP to pick again. The matching variant lands in cart and a checkout link opens in the same conversation — fewer steps, fewer dropouts at the size dropdown.
See which PDPs trigger the most "is the size accurate" doubt and which price points kill the conversation. That data tells you where to add a model-wears note, a fit video, or a clearer size chart on your top 10 SKUs.
Instead of guessing what to merchandise next, you read what shoppers actually ask. If "do you carry petite" comes up 40 times this week, that is your next category drop signaled by demand, not gut.
When a customer adds a blazer to cart, Shop Me suggests the trousers and shirt from the same lookbook the way a stylist would — not as a popup, but as a follow-up message in the same conversation.
Shop Me reads the size chart you already publish on your Shopify store, plus your product descriptions, and uses both to answer fit questions in plain language. If a customer says they are 5'6" and usually wear a Medium in another brand, Shop Me cross-references your measurements and recommends the closest variant. It also flags fit notes you have written into PDPs — for example "runs small, size up" — without the customer needing to scroll. The more specific your size chart, the better the answer, so most fashion brands get the most value when bust, waist, hip, and inseam are all listed for each size.
Yes. Shop Me reads your product collections, tags, and lookbooks. When a customer adds a blazer, it can offer trousers, shirts, and shoes from the same collection or from collections you have tagged as compatible. It does not invent products, suggest competitor items, or push hard upsells. The styling suggestions are presented inside the conversation as a follow-up message, the way a boutique associate would say "this also looks great with our linen trousers in stone" — one or two specific items, not a wall of options.
Shop Me checks live Shopify inventory before recommending anything. If the exact size and color the shopper wants is sold out, it does three things in order: it offers the closest in-stock variant — same color, next size up or down — it offers a similar style from the same collection that is in stock, and it offers a back-in-stock alert tied to the customer email so they hear from you directly when the variant is back. That stops the shopper from bouncing to a competitor while you restock.
Most apparel returns are size-driven, and most size-driven returns happen because the customer guessed. Shop Me asks for the inputs needed — height, body measurements, the brand they normally fit in — and recommends a specific variant against your size chart before checkout. It also confirms fit notes ("runs small at the bust", "longer torso friendly") that are usually buried in your PDP. Stores using this flow consistently report fewer "wrong size" returns. Returns from change-of-mind or color-not-as-expected are not solved by chat alone — those need accurate PDP photography on your end.
Test product discovery, objections, cart support, and checkout flow before you start your trial.