For fashion and apparel brands
An AI fashion ecommerce assistant that helps shoppers find the right size the first time
Clientager answers sizing and fit questions, suggests outfits and alternatives, tracks orders and runs exchanges, so fewer customers return items and more come back.
Ready for your review in 24–48 hours
Customer: I'm usually a medium but some of your stuff runs small. What size should I get in this linen dress?
Clientager: Hi, I'm the brand's AI assistant. This dress has a relaxed fit and the linen softens with washing. Most customers who wear a medium elsewhere take a medium here. Do you prefer it loose or more fitted at the waist?
Customer: A bit fitted. I'm 5'5.
Clientager: Then a small with the tie belt could work if you're between sizes, but medium is the safer choice and the belt will cinch it. At 5'5, it will land just below the knee.
Customer: Ok medium. What shoes would go with it?
Clientager: The tan leather sandals or the woven espadrilles pair well with the sage color. Both are in stock in most sizes. What's your shoe size?
Customer: 8. I'll take the espadrilles.
Clientager: Great choice. Here's a secure checkout link with the dress in medium and espadrilles in size 8: [link]. Exchanges for a different size are free within 30 days.
What Clientager did
- Size recommended: medium, relaxed fit
- Cross-sell added: woven espadrilles, size 8
- Checkout link sent
Quick answer
What does an AI fashion ecommerce assistant do?
An AI fashion ecommerce assistant answers sizing, fit, fabric and stock questions, recommends items and complete looks from your catalog, and sends secure checkout links. After purchase it tracks orders and guides exchanges toward the right size instead of a refund, within your policy. It also handles drop and restock notifications and passes VIP or complaint conversations to your team.
Illustrative example
Customer message
Does this run true to size?
Happy to help with that. Let me check and get it sorted for you now.
Saved to the customer record
What Clientager handles for fashion stores
- Answer size and fit questions
- Recommend complete looks
- Notify on restocks
- Send checkout links
Live availability
Booked · reminder scheduled
What gets missed today
Size doubt kills conversions
Shoppers between sizes either abandon the cart or order two sizes and return one. Both outcomes cost money.
Returns instead of exchanges
When the return process is easy and the exchange process isn't, customers take the refund and the sale is lost.
Drop-day chaos
New collection launches and sales bring floods of 'when does it restock' and 'is my size coming back' messages within hours.
Styling help doesn't scale
Shoppers love advice on what goes with what, but a small team can't give personal styling to every chat.
What Clientager can handle for you
- Answer size and fit questions
- Recommend complete looks
- Notify on restocks
- Send checkout links
- Track orders
- Turn returns into exchanges
- Support drop and sale days
- Flag VIP customers
Enquiries it handles every day
- “What size should I order?”
- “Does this run true to size?”
- “When will my size be back in stock?”
- “Can I exchange for a different size?”
- “Where is my order?”
- “What's the fabric and how do I wash it?”
- “Do you have this in another color?”
- “Can I use two discount codes?”
How it works
- 01
Shopper messages
On website chat, WhatsApp, Instagram or email. The agent introduces itself as the brand's AI assistant and picks up the product they're viewing.
- 02
Fit guidance
It asks about usual size in other brands, height, build or preferred fit and uses your size charts and fit notes to suggest a size.
- 03
Style and stock
It suggests pieces that go with the item, checks size availability and offers restock alerts or similar styles when sold out.
- 04
Purchase
The shopper gets a secure checkout link with the selected items. The agent can mention your shipping and returns policy up front.
- 05
After the order
Tracking questions are answered instantly. If something doesn't fit, the agent offers an exchange first, then a return within policy.
A fashion sales assistant that solves the size question
Fit is the biggest barrier in online fashion. Clientager uses your size charts, garment measurements, fit notes and the guidance your stylists already give, such as 'runs small in the shoulders' or 'size down for a closer fit'. It asks shoppers a few simple questions about how they like things to fit and how they size in other brands, then explains its recommendation in plain words.
When the honest answer is 'it depends', the agent says so and offers the safer option along with your exchange policy, which gives shoppers the confidence to buy one size rather than two. Over time, the questions people ask show you which products need clearer fit notes on the product page. Your team can then update size guides where shoppers are most often unsure.
Styling, drops and restocks
Good shop assistants suggest what goes with what. The agent can recommend complementary pieces, complete outfits and accessories from your catalog based on color, occasion and what the shopper has already chosen. It only suggests items that exist and are available in the shopper's size, so recommendations do not end in disappointment. You can also choose to prioritize new arrivals or slow-moving stock.
Launch days and sales bring predictable floods of questions. The agent can share drop times, explain limits per customer, register restock alerts for specific sizes, and suggest similar styles when something sells out. Your team stays focused on fulfillment while every message gets an answer in seconds. If a shopper missed out, the agent can register their size for a restock alert and follow up as soon as it is back, so a sold-out drop can still end in a sale.
Fashion customer service AI for orders and exchanges
After purchase, the agent tracks orders, explains shipping times, and handles address changes within your cutoff. When something doesn't fit, it offers an exchange for another size or color first, checks stock, and starts the exchange or return within your policy. That keeps more revenue in the business without making returns difficult. Exchange labels and instructions are sent in the same conversation.
Not every conversation should be automated. Customers with high lifetime value, influencer and press enquiries, quality complaints and wholesale requests can be flagged and passed to the right person on your team. The agent introduces itself as an AI assistant, so customers always know who they are talking to, and anyone can ask for a person. Your team always sees the full thread.
Frequently asked questions
How does the AI decide which size to recommend?
It uses your size charts, garment measurements and fit notes, plus what the shopper tells it about their usual size, height and preferred fit. It explains its reasoning and suggests the safer option when someone is between sizes, rather than claiming a perfect prediction.
Can it encourage exchanges instead of refunds?
Yes. When a customer starts a return because of fit, the agent offers an exchange for another size or color first and checks availability. If they still prefer a refund, it processes the return within your policy without pressure.
Does it work on Instagram and WhatsApp?
Clientager covers website chat, WhatsApp, email, SMS and phone, and social messaging where a connection is confirmed during setup. Many fashion brands find WhatsApp and chat handle most pre-sale questions, especially on mobile. Your team chooses which channels to switch on.
Can it handle discount code questions?
It explains how your current promotions work, such as whether codes stack, minimum spend and exclusions. It only applies or creates discounts you have authorized, so it cannot be talked into giving away a margin you did not approve.
What happens on a big sale or launch day?
The agent handles high volumes of the same questions at once: drop times, sizes, shipping cutoffs and order status. You can update a short launch-day brief in advance, and voice minutes are included by plan, so check the pricing page for extra-minute rates during peaks.
Will it recommend products that are out of stock?
No. When your catalog and inventory are connected, it only recommends items available in the shopper's size. For sold-out pieces it offers a restock alert or similar alternatives from your current range. It never invents availability or promises a restock date you haven't confirmed.
Capabilities
Related industries
Use cases
Want this for your business?
Tell us how your business works. We'll build the AI around it, test it, and have it ready for your review within 24–48 hours.