AI for ecommerce
AI for Australian fashion and apparel brands.
Every drop sells, then buries you in 'what size am I', 'does this run small' and 'can I swap the medium for a large'. We build the AI support layer that answers sizing from your own fit notes, runs exchanges and returns on your policy, and watches stock across every size and colourway. Refunds stay inside your policy and the law. The content cadence keeps moving.
Plugs into the stack you already run
- Shopify or Shopify Plus (storefront + orders)
- Gorgias, Zendesk or Re:amaze (support inbox + macros)
- Loop or Returnly (exchanges + returns portal)
- Klaviyo (email + SMS flows and campaigns)
- a size guide / fit-finder and Meta + TikTok + UGC for demand
What can AI actually do for a fashion or apparel brand?
It absorbs the sizing and returns volume that swamps you after every drop: what size am I, does this run small, can I exchange the medium for a large. It reads your size chart and fit notes to answer pre-purchase questions, initiates exchanges and returns against your policy, and watches stock across every size and colourway. It also keeps your content cadence going with drafted captions and EDMs. What it never does is promise a refund outside your published policy or invent a fit claim, because under Australian Consumer Law your brand owns every promise.
The one that eats the week
What actually swamps a fashion brand.
Sizing and exchanges after a drop. Apparel return rates run high because fit is a guess, so every launch generates two waves: the pre-purchase 'does this run small, I'm usually a 10' wave, and the post-delivery 'it doesn't fit, can I exchange the medium for a large' wave. A small brand answers each one by hand against a size chart and a returns policy, over and over, while the drop is still warm and the next one needs shooting.
What you're doing now · What we'd ship instead
The before and after, in plain terms.
You, today
Sizing questions never stop and never scale
Does this run small, I'm usually a 10, will the medium fit, every pre-purchase message needs someone to read the size chart and reply by hand, and there are hundreds of them after a drop.
Exchanges and returns are a manual grind
Wrong size, change of mind, doesn't suit, each one is a back-and-forth against your policy, and apparel returns volume is high by nature, so it swallows hours every week.
Stock-outs hit by size and colourway, not just by product
The dress is 'in stock' but the size 12 in black, the size everyone wants, sold out hours ago. The ads keep running and customers keep arriving to a variant they cannot buy.
Refund-rights mistakes are a legal risk
A rushed 'no refunds on sale items' reply can breach the Australian Consumer Law. Getting return rights wrong under pressure is how a small brand ends up with an ACCC problem.
The content cadence is relentless
New collection, lookbook captions, EDM, restock alerts, UGC reposts, the calendar never pauses and it always lands on the founder the night before a send.
You read as smaller than the labels you compete with
The bigger brands answer sizing in seconds and never sell a sold-out variant. A slow inbox and stale stock quietly tell shoppers you are a side hustle, even when the range is better.
You, with us
Sizing answered from your own fit notes
The AI reads your size chart, model measurements and fit notes to answer 'does this run small' instantly and accurately, turning fit uncertainty into a confident purchase.
Exchanges and returns run on your policy
Eligible exchanges (the medium for a large) and returns are initiated against your published policy automatically, with a clear, kind reply and no founder typing it out.
Stock watched by size and colourway
Inventory is tracked on every variant, so the size 12 in black running low is flagged before it hits zero and you can pause paid or reorder instead of selling air.
Refund rights handled correctly, every time
The AI applies your policy and the ACL exactly as written, never invents a 'no refunds' rule, and escalates disputes to a human, so you stay on the right side of the law under pressure.
Captions and EDMs drafted for you to approve
Collection captions, restock alerts and launch EDMs arrive in your voice, ready to edit and send, so the content treadmill stops owning your evenings.
You operate like the bigger label
Fast, accurate sizing help, smooth exchanges, live stock. Shoppers experience a brand that runs properly, which is exactly what lifts conversion and repeat purchase.
A fashion brand wins or loses on two moments the customer feels: the second before they buy, when they are unsure of the size, and the day the parcel arrives and it fits or it does not. Both moments generate a message, and apparel generates more of them than almost any other category, because fit is always a guess. So the inbox fills, the popular size sells through unnoticed, and the next collection still needs shooting. None of that is a design problem. It is a fit-is-uncertain-and-there-are-three-of-us problem, and it is exactly what AI is built to carry.
Sizing is the wave that never stops
Every drop creates two waves of the same question. Before the sale: does this run small, I’m usually a 10, will the medium fit. After delivery: it doesn’t fit, can I swap the medium for a large. A small team answers each one by hand, reading the size chart and the returns policy over and over, while the drop is still warm. It does not scale, and it is the least creative work in the business.
An AI support layer answers sizing from your own data. We feed it your size chart, your model measurements, your fabric and fit notes, and the runs-small guidance you already give, so it replies with your actual fit advice rather than a guess. On the other side, it initiates eligible exchanges and returns against your published policy through Loop or Returnly, with a clear and kind reply, and your team only touches the messages that genuinely need a person.
The refund line the AI applies exactly
This is the part a fashion brand cannot get wrong, and it is governed by the Australian Consumer Law, enforced by the ACCC. Consumer guarantees mean goods must be of acceptable quality, match their description and be fit for purpose, and a brand cannot mislead customers about their return rights. A rushed no-refunds-on-sale reply, an undisclosed restocking fee, or a return window shorter than the law allows can all breach the ACL. So the AI applies your policy and the law exactly as written, never invents a rule, never misstates a guarantee right, and escalates disputes to a human, because your brand is accountable for every return decision, not a bot.
Stock by variant, and the content that never pauses
Two quieter leaks sit behind the inbox. The first is the variant-level stock-out: the dress shows in stock but the size 12 in black, the size everyone wants, sold out hours ago, and the ads keep arriving there. The AI watches inventory on every variant and flags the line before it hits zero so you can pause paid, swap creative or reorder. The second is the content cadence: collection captions, restock alerts, launch EDMs, the calendar that lands on the founder before every send. The AI drafts those in your voice, ready to edit and approve.
When it earns its keep
Fashion is the most calendar-driven category in ecommerce, and the value spikes when the calendar does. Each seasonal collection launch, the end-of-season and Black Friday clearances, the Christmas and Boxing Day rush, and event-driven demand from race season to festival season. Returns spike hardest right after the big sales, when discount-driven, fit-uncertain buying peaks, which is exactly when the team is also shooting and dropping the next collection. An always-on support and stock layer catches that surge without a seasonal hire you only need for a few weeks a year.
If you want the wider view, the AI for Australian Shopify stores guide maps the whole ecommerce stack, and the ChatGPT for Shopify guide covers the day-to-day tactics. When you are ready, book a free 30-minute audit and Jenn will name the two or three agents worth building first for your label, quoted fixed in AUD.
Concrete, not hand-wavy
What the AI actually does for a fashion brand.
- Answers 'does this run small, I'm usually a 10' from your size chart, model measurements and fit notes.
- Initiates eligible exchanges (medium to large) and returns against your published policy via Loop or Returnly.
- Applies the Australian Consumer Law correctly and never invents a 'no refunds on sale' rule, escalating disputes to a human.
- Flags a fast-moving size or colourway (size 12 in black) before it stocks out, so you can pause paid or reorder.
- Answers 'where is my order' with live tracking pulled from Shopify, day or night.
- Drafts the collection-launch EDM and restock-alert email in Klaviyo in your brand voice for approval.
- Writes lookbook and product captions from a new drop or a UGC clip, on-brand, for you to post.
- Routes wholesale, press and collab enquiries away from the customer queue to the right person.
Where the line sits
Online apparel selling in Australia is governed by the Australian Consumer Law (ACL), enforced by the ACCC. Consumer guarantees mean goods must be of acceptable quality, fit their description and be fit for purpose, and a brand cannot mislead customers about their refund or return rights, for example implying no refunds on sale items, charging undisclosed restocking fees, or stating a return window shorter than the law allows. The AI must never promise a refund, exchange or outcome outside your published policy and the ACL, never invent a fit or fabric claim, and never misstate a customer's guarantee rights. It applies your policy exactly as written and escalates any dispute or edge case to a human, because the brand, not a bot, is accountable for every return decision and every claim it makes.
The cost question, answered straight
What this runs for a fashion brand.
Apparel returns and sizing volume is structurally high, so a fashion brand doing even a few hundred orders a month loses serious hours to repetitive sizing and exchange replies, plus margin to variant-level stock-outs. Automating the routine sizing and exchange queue and catching one popular-size stock-out before it runs ads to a sold-out variant typically covers the monthly cost on its own, with the recovered founder time as the bonus.
Where most fashion & apparel brands start
The packages we'd actually quote you on.
AI Front Desk
An always-on receptionist for service businesses, answers enquiries after 5pm, books appointments, sends reminders, escalates the tricky ones.
Absorbs the sizing and exchange queue that buries every drop, answering fit questions from your own notes and running returns on your policy.
$1,500 AUD setup + $199 AUD/month
Read the brief →
AI Inventory Watch
An overnight agent that audits your stock, flags problems, and pings your team before you've finished your coffee.
Tracks stock by size and colourway and flags a popular variant before it sells out mid-campaign.
$497 AUD setup + $99 AUD/month
Read the brief →
AI Content Engine
A content production line in your brand voice, Instagram, LinkedIn, blog, newsletter, drafted, scheduled, and refined from what actually performs.
Drafts collection captions, restock alerts and launch EDMs in your voice for you to approve and send.
$1,500 AUD setup + $499 AUD/month
Read the brief →
The short version
- The killer workflow for a fashion brand is sizing and exchanges: every drop generates a pre-purchase 'does this run small' wave and a post-delivery 'it doesn't fit' wave.
- AI answers sizing from your own fit notes, runs exchanges and returns on your policy, and watches stock by size and colourway, while a human owns every claim and dispute.
- The Australian Consumer Law is the live risk: the AI never invents a 'no refunds' rule, never misstates guarantee rights, and never promises a refund outside your policy.
- Catching one popular-size stock-out before it runs ads to a sold-out variant typically covers the monthly cost on its own.
Real questions fashion & apparel brands ask
Before-you-book questions.
How does the AI answer sizing questions without guessing?
It answers from your own data, not a guess. We feed it your size chart, model measurements, fabric and fit notes, and any 'runs small' guidance you already give, so when a customer says 'I'm usually a 10, will the medium fit' it replies with your actual fit advice. It does not invent a fabric or fit claim, and anything it is unsure about goes to a human.
Can it promise refunds or process returns on its own?
It applies your published returns policy and the Australian Consumer Law exactly as written, and initiates eligible exchanges and returns through Loop or Returnly. What it never does is promise a refund or exchange outside that policy, invent a 'no refunds on sale' rule, or misstate a customer's guarantee rights, which can breach the ACL. Disputes and edge cases are escalated to a person, because your brand is accountable for every return decision.
Does it plug into Shopify, Gorgias and Loop, or do I switch tools?
It plugs into what you already run. We build around Shopify, your support tool (Gorgias, Zendesk or Re:amaze), your returns portal (Loop or Returnly) and Klaviyo. The AI reads order and stock data from Shopify, drafts and sends inside your existing inbox, and we do not migrate you off anything. It is a layer on top of your stack.
How does it handle stock-outs on a popular size or colour?
It watches inventory at the variant level, not just the parent product, so the size 12 in black or the one colourway everyone wants is flagged before it hits zero. That gives you time to pause paid spend, switch creative, or reorder, instead of paying for clicks to a variant nobody can buy.
We build this Australia-wide
Every agent we ship is remote-first, so we work with fashion & apparel brands across the country. AI consultants in Melbourne, Sydney, Brisbane, Perth, Adelaide, Canberra, Gold Coast, Newcastle , or anywhere in Australia.
If you run a fashion brand business, book the 30-minute audit.
Jenn maps your business live on the call, names the two or three highest-ROI agents we'd build for a fashion brand, and quotes them fixed in AUD on the spot. No deck. No pitch theatre. No obligation.
Or email Jenn directly: jenn@onautopilot.com.au, reply within 1 business day, AEST.