You're pinning a hem on a client when your phone buzzes on the counter. It's a DM: "Does the ivory kurta come in a 40?" You can't answer it right now — you're holding pins — and by the time you can, the person asking has either moved on or is still waiting, watching the message sit there unread. This is the exact gap a good AI receptionist for boutiques is built to close: not replacing the fitting, just handling everything that happens before and around it.
Fashion retail runs on two constant questions. Does this exist in my size, in this fabric, in this colour. And: can I come in and try it on. Both need real answers — not "please visit us for details," which is what most boutiques default to when nobody's free to reply properly.
Sizing needs a real answer, not a shrug
A generic autoresponder can say "thanks for reaching out." It can't tell someone whether the ivory kurta runs true to size, what the fabric is, or whether the piece they saw on Instagram three weeks ago is still available. AIVA can, because it's set up on your actual catalogue, size chart, and policies — the same information you'd give in person, given consistently, at 11 PM on a Tuesday as well as during store hours.
It also answers in whatever language the customer's comfortable in, across all 12 of AIVA's supported Indian languages — useful for a boutique whose clientele isn't uniformly English-first, even if the brand's Instagram captions are.
A DM at 11 PM, answered anyway
Walk through what that ivory kurta question actually looks like end to end. A customer messages your web widget or your business number at 11 PM asking about size 40. AIVA checks the catalogue, confirms it's in stock in that size, mentions the fabric and care instructions if that's part of your product data, and asks whether she'd like to book a fitting. No "we'll get back to you in the morning" — the answer's already there, and so is the next step.
If the size isn't available, AIVA says so directly instead of leaving the question unanswered or guessing. Where it's set up to, it can note her interest so you can follow up when a restock comes in, rather than the enquiry just evaporating because nobody replied in time.
Booking the fitting, not just describing it
Once someone's decided they want to try a piece on, AIVA books the slot directly against your calendar — Google Calendar, Calendly, or Cal.com, whichever you already run — and confirms it by SMS, with a reminder ahead of the appointment. No back-and-forth over DM trying to find a time that works for both sides.
The fitting room is where the sale actually happens. Everything before it should be frictionless enough that the customer arrives already sold on getting there.
Alterations, exchanges, and the questions that come after the sale
Fashion retail doesn't stop mattering once the purchase is made. How long does an alteration take. Can this be exchanged if it doesn't fit right. Is there a charge for taking in a blouse. These are exactly the kind of questions AIVA handles the same way it handles sizing — from your documented policies, given consistently, instead of depending on whichever staff member happens to answer the phone that day. A customer asking about an alteration timeline three days before a wedding shouldn't have to wait until tomorrow for an answer.
When it's made-to-order, not off-the-rack
Some boutiques sell mostly ready pieces; others run heavily on custom and made-to-order work, where turnaround time is often the first thing a customer wants to know. AIVA can hold that information too — standard lead times, whether rush orders are possible, what the deposit structure looks like — so a customer deciding whether there's enough time before an event gets a real timeline instead of "let me check and call you back," which by the time it happens may be a day the customer no longer has to spare.
Wedding season doesn't run on office hours
A meaningful share of boutique enquiries cluster around specific windows — wedding season, Navratri, the weeks before Diwali — when trousseau shopping and festive orders spike hard and every customer is working against a fixed date that isn't moving. That's also exactly when a small team is busiest on the floor with in-person appointments and least able to answer a flood of DMs and calls promptly.
Because AIVA runs pay-as-you-go with no monthly fee, that spike costs more in the specific weeks it happens and nothing extra the rest of the year — you're not paying for a fixed answering capacity sized for your busiest month just to cover the other eleven. A bride-to-be messaging at 10 PM about trousseau availability two weeks before her wedding gets the same real answer she'd get walking in on a quiet Tuesday afternoon.
Consistent answers across Instagram, your site, and the shop
A lot of boutique discovery starts on Instagram — someone screenshots a post, then messages asking if that exact piece is available. The gap that usually loses this customer is inconsistency: the person who replies to DMs doesn't always have the same information as the person at the counter, and by the time the two get reconciled, the customer's stopped waiting. AIVA draws from one catalogue and one set of policies regardless of which channel the question arrives on, so "is this the piece from the reel you posted Tuesday" gets the same accurate answer whether it comes in as a call, a text, or a website chat.
It still sounds like you
This is the part that matters most for a brand-conscious business: the web widget embeds in three lines of code and takes on your site's look rather than sitting on top of it like a generic support popup, and it shows up only where you want it to, not on every page. The voice and chat responses are set up around your tone, your product language, your policies — not a one-size-fits-all script. A boutique's whole value proposition is that it isn't a mass retailer; the way customers get answered shouldn't feel like it belongs to one.
What it doesn't try to do
AIVA won't style an outfit or make a judgment call on what suits someone — that's still your eye, your expertise, the actual reason people choose a boutique over a marketplace. When a conversation needs that kind of human read, AIVA hands off with the full context already gathered, so you're not starting from "sorry, what were you asking about again?"
The same goes for anything that's genuinely a negotiation — a bulk order for a wedding party, a custom collaboration, a price conversation. AIVA recognises when a conversation has moved past a factual question and routes it to you rather than trying to close it itself.
Getting started
No monthly fee — AIVA runs pay-as-you-go at ₹2 per web chat conversation, ₹1 per SMS, and ₹4 per voice minute, with ₹500 of free credit to start and no card required. See how the widget looks on a live site at the web widget page, how the voice line handles a call at the voice platform page, or the full pricing breakdown on the pricing page. See how AIVA connects across all 12 supported languages, or try it free on your own catalogue.