By industry
Customer stories
See how our clients are using Zipchat and the awesome benefits it's bringing to their businesses!
AI Customer Support
Sales Conversion
Analytics & Insights
Platform Integrations
Sizing uncertainty kills fashion sales before checkout. Zipchat answers fit questions in real time and converts that hesitation into a completed order.
No credit card required · Setup in 2 minutes
Trusted by Apparel & Fashion brands worldwide
Up to 77% of fashion returns trace back to incorrect sizing, and the hesitation starts during the browsing session, before checkout. Shoppers know their measurements but not how a specific cut, drape, or stretch will feel on their body. No static size chart answers "does this run small for athletic builds?"
Zipchat reads your product catalog, fit notes, and size guides to answer sizing questions in real time. When a shopper types "I'm 5'7", athletic build, usually a medium in Nike," the AI cross-references that description against your garment's specific measurements and returns a confident recommendation. A Canadian fashion retailer using Zipchat handled 45.8K conversations and generated $669K in AI-attributed revenue, with the AI handling sizing, policy, and order status questions automatically. Return policy anxiety amplifies every sizing doubt. Zipchat surfaces return policy details at the moment a shopper hesitates on a product page, targeting the 18% of buyers who walk away due to return anxiety. At the same time, WISMO tickets across website chat, WhatsApp, and Instagram are deflected without routing to a human agent, even during campaigns and drops.
Capabilities tuned for apparel & fashion brands.
The AI reads your product catalog and size guides to answer fit questions specific to each garment. When a shopper describes their build and brand preferences, Zipchat recommends the right size from your actual inventory.
Sizing questions don't follow business hours. Zipchat answers at 2am when a shopper is browsing your new drop, so you never lose a sale to an unanswered question.
Fashion brands sell globally. Zipchat handles sizing and fit conversations in 95+ languages, so an international shopper can ask about measurements in French, Spanish, or Japanese and get an accurate answer.
When a sizing concern requires human judgment or a complaint escalates, Zipchat routes the conversation to your team instantly with full conversation context already visible.
Zipchat tracks which sizing questions appear most often for which products. That data tells you which garments confuse shoppers most, so you can update product descriptions before the next drop.
By resolving the single biggest pre-purchase blocker in fashion at the moment it occurs, Zipchat converts browsers who would have abandoned their cart into completed orders.
COMMON CHALLENGES
Sizing uncertainty blocks purchases
Shoppers know their measurements but not how a specific cut or stretch will feel. No product page answers "does this run small for athletic builds?" Zipchat reads your garment's fit notes and cross-references them against the shopper's stated build, returning a confident recommendation in real time.
Return anxiety amplifies fit doubt
18% of shoppers cite unsatisfactory return policies as a reason not to buy. In fashion, where returns are expected, that anxiety compounds at every hesitation point. Zipchat surfaces your return policy proactively at the moment a shopper hesitates on a product page, removing the anxiety before it costs the sale.
WISMO spikes with every campaign
Order status questions account for roughly 16% of all fashion support tickets and scale sharply during drops and seasonal launches, overwhelming support teams. Zipchat deflects WISMO tickets automatically across website chat, WhatsApp, and Instagram without routing a single query to a human agent.
BEFORE VS. AFTER
| Without Zipchat | With Zipchat |
|---|---|
| Returns from sizing guesses | Fit confirmed before checkout |
| 2am cart abandoned, no one answers | 24/7 fit consultation captures the sale |
| WISMO tickets pile up during drops | WISMO automated across all channels |
| Generic size chart redirects shoppers | Garment-specific recommendations from your catalog |
| Return anxiety loses 18% of buyers | Return policy surfaced at the moment of hesitation |
| No visibility into which products confuse most | Chat data shows exactly which garments need better descriptions |
| WhatsApp carts abandoned with no follow-up | Personalized WhatsApp recovery at 13-39% purchase rate |
Recover abandoned fashion carts on WhatsApp
13-39% cart recovery rate
GETTING STARTED
No ticket history required. No cold start. Connect your store and go.
Link Shopify, WooCommerce, Wix or whatever other CMS in one click. Zipchat immediately begins reading your product catalog, size guides, and fit notes.
ipchat reads your products, policies, and FAQs automatically. No manual data entry. The AI knows your inventory from day one.
Set your brand tone, preferred languages, and escalation rules. Configure the proactive triggers for sizing hesitation and cart abandonment.
An AI agent addresses sizing uncertainty before the purchase happens, which drives 70-77% of fashion returns. When a shopper asks "does this run small?" or "what size for a 5'9" athletic frame?", Zipchat reads your product's fit notes and size guide to give a specific answer rather than redirecting to a generic chart. Confident pre-purchase sizing guidance reduces the probability that an item arrives and doesn't fit.
The most common pre-purchase sizing questions are "does this run true to size?", "what are the exact measurements for size X?", and "how does this fabric feel, is it stretchy?" Shoppers also ask "will this fit if I'm between sizes?" and "how does this compare to [other brand] sizing?" These conversational questions cannot be answered by a static size chart, which is exactly what makes an AI agent valuable in fashion.
Yes. Zipchat connects directly to your Shopify product catalog and reads live inventory across all variants. When a shopper asks about a specific size or colorway, the AI checks availability in real time and responds instantly. If the size is out of stock, the AI suggests the nearest available alternative or collects the shopper's contact information for a restock notification.
The most effective approach is a personalized WhatsApp message sent 1-2 hours after abandonment, referencing the exact product the shopper viewed. Zipchat's WhatsApp cart recovery campaigns deliver purchase rates between 13% and 39%, compared to the 3-5% benchmark for email. The difference is that a WhatsApp message from Zipchat can continue the conversation if the shopper replies with a question, rather than redirecting them to a static link.
The bulk of support volume during a drop comes from WISMO queries and sizing questions about newly listed items. Zipchat automates both: it reads order data to answer shipping status questions and reads product fit notes to answer sizing questions, without involving your team. Brands using Zipchat report 60-80% deflection of routine support volume.
Fashion brands that deploy AI chat for sizing guidance and pre-sale support see chat-to-conversion rates well above the 2-3% ecommerce average. Zipchat's top-performing brands reach 25-38% conversion rates from chat sessions, reflecting the impact of resolving purchase hesitation in real time. Even a modest lift converts one more shopper out of every fifty at a $196 average order value.
HONEST TAKE
Zipchat is a great fit if…
It may not be the right fit if…
