AI Chatbot for Vnda Stores
Vnda storefronts are usually built like editorial pieces, and nothing should interrupt them. The assistant loads through your existing tag manager container, changes nothing visually, and answers fit and fabric questions the way a good shop assistant would.
Try it on your own store for free
Enter your Vnda store URL and see how an AI assistant would answer your customers
See It In Action
For fashion and lifestyle brands on Vnda where the storefront is part of the product
Answers Fit Questions Properly
Does it run small, what is the model wearing, how does the linen behave after washing, will the length work at my height. Fashion sales turn on these details, and they are usually written in your own notes rather than on the page.
Loads Through Your Tag Manager
Vnda stores are set up with a tag manager container, which is the intended route for third-party scripts. The assistant goes in as a tag, so the storefront code stays untouched.
Respects the Design
Nothing in your layout, typography or imagery changes. The widget’s colours and position are set from a dashboard so it reads as part of the brand rather than an add-on.
Handles Drops and Restocks
Collections change, sizes sell out, restocks arrive. A re-crawl keeps the assistant current, so it never discusses a piece that sold out three weeks ago.
Serves International Interest
Brazilian brands attract attention abroad. The assistant answers in whichever of 36 languages the visitor writes, drawing on the same product information.
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Built for Vnda Merchants
One tag in your container. Storefront code untouched.
Built for Fit Questions
Measurements, model references, fabric behaviour and care, answered from your pages and uploaded notes.
No Storefront Changes
Deployed as a tag, so your templates and design stay exactly as your team built them.
Matches the Brand
Colours, position and tone of voice are all configurable, so the assistant sounds like your store.
Current With Every Drop
Re-crawl after a launch and the assistant knows the new pieces, prices and sizes.
Portuguese and 35 More
Detected per visitor, so overseas interest is answered rather than postponed.
No Invented Claims
It answers from your content only, which protects a brand that trades on credibility.
Simple Vnda Integration
The assistant is deployed through your tag manager container, which is how Vnda stores add third-party scripts.
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1
Sign up and copy your snippet
Create your Asyntai account, add your store URL so the AI can read your collections and policies, then copy the snippet from your dashboard.
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2
Open your tag manager container
Vnda stores are provisioned with a container for exactly this purpose; ask your Vnda contact for access if you do not have it.
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3
Add the snippet as a custom HTML tag
Set the trigger to all pages so the assistant is available across the storefront.
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4
Publish the container
The assistant answers as soon as the container is published. Tone, rules and appearance are managed from your dashboard.
Sign up free and get your personalised snippet instantly - paste it once and the widget is live
Why Vnda Brands Choose Asyntai
Start free with 100 messages, upgrade as traffic grows
Fewer Returns From Size Guesswork
Most fashion returns are fit-related. Answering measurement questions before purchase reduces both the return rate and the cost of shipping twice.
No Design Compromise
The storefront your team designed stays intact, which is usually the objection that keeps chat off brand-led stores.
International Interest Captured
Attention from abroad converts when it is answered immediately in the visitor’s own language.
Frequently Asked Questions
What Vnda brands ask before deploying the tag
What an AI Assistant Changes for a Brand-Led Store
Fashion Sells on Details Nobody Publishes
Every brand knows more about its pieces than the product page says: how the cotton softens, whether the dye bleeds on the first wash, that the trousers run long, that the model is 1.74m wearing a P. Customers ask about exactly those gaps.
Uploading those notes once turns them into answers available at the moment of doubt. The store starts advising the way a good sales assistant would, which is precisely what an online storefront normally cannot do.
Returns Are Mostly a Sizing Problem
Fashion return rates are dominated by fit, and every return costs shipping twice plus the handling. Reducing them is usually treated as a logistics problem when it is really an information problem.
A shopper who gets a specific, confident answer about measurements before ordering buys the right size more often. The saving shows up quietly in the returns line rather than in the conversion report.
The Storefront Is Part of the Product
Brands invest in Vnda storefronts because presentation matters to them. That is why most chat widgets get rejected: they arrive with their own visual opinions and disturb a carefully composed page.
Loading through a tag and keeping every visual property configurable removes that objection. The assistant can be made to look like it was always part of the design, and removed just as cleanly if it is not.
Drops Break Static Content
Collections rotate, pieces sell out, restocks arrive unannounced. Any hand-maintained FAQ or scripted bot will confidently describe last season, which reads as carelessness to a customer looking at this season.
Reading the storefront keeps the assistant current with a re-crawl, so what it says matches what you are actually selling on the day someone asks.
International Attention Arrives Early
Brazilian design attracts interest well beyond Brazil, usually before there is any plan for it. Those enquiries tend to be hesitant and easy to lose: one unanswered question about shipping abroad and the visitor is gone.
Answering in the visitor’s language immediately turns curiosity into orders, and tells you honestly which markets are worth building for.
Ready to Give Your Storefront a Shop Assistant?
Start free with 100 messages and answer fit questions before they become returns.