Apparel & Fashion

Turn fashion conversations into confident purchases and repeat customers.

An AI agent captures shopper interest, learns what they’re looking for, answers the questions that hold up a purchase, and keeps the relationship moving after checkout.

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The challenge

Fashion shoppers ask before they buy — and leave if you’re slow.

The sale is won or lost in the chat, long before checkout.

New chats arrive with no context

A shopper chats after seeing the collection or a campaign. Your team doesn’t know what they want or which campaign brought them, so every chat starts from zero.

Chats pile up with the same questions

Size, stock, fabric, and shipping questions arrive all day, and in a rush after every campaign or drop. Your team answers them on repeat while buyers wait.

Unfinished checkouts go unanswered

Shoppers add to cart, get distracted, and never come back. Without a follow-up they don’t hear from you, and your team never learns what stopped them.

How it works

One thread from the first message to the next drop.

The same agent and the same customer record carry the shopper through every step.

01
Shopper starts a chat
From an ad, a social message, website chat, or a QR code. The agent greets them and asks what they’re after.
02
Agent qualifies and answers
Occasion, size, and budget are saved to the record. Fit, fabric, and styling questions are answered from your content.
03
Recommends and checks out
Matching pieces from your live catalog, then the payment link in the same thread. Your team steps in when needed.
04
Follow-up and rewards keep going
Abandoned checkouts, order updates, exchanges, rewards with bitLoyalty (Beta), and messages about the next drop, all on the same record.

Core solutions

One conversation carries the shopper from first question to repeat purchase.

Built in AI Studio, working in bitChat, writing to bitCRM. Each step below is a configured skill, subject to your connected channels and setup.

Hi! I saw the new linen collection on Instagram. What’s available?

Welcome! The linen collection is in. Are you shopping for a specific occasion, or browsing? I can show you what’s available in your size.

Opened from a click-to-WhatsApp ad · source saved (where available)

Illustrative conversation

Ads to conversations

Give every fashion ad click a conversation to land in.

A shopper taps a supported click-to-WhatsApp ad on Facebook or Instagram and the chat opens with your agent, not a form. It greets them, asks what they’re after, and saves the campaign source, where available, so you can see which campaigns bring interested shoppers and use that to optimize your ads.

Lead generation from every click-to-message ad
Shoppers tagged by intent and behavior in the chat
Ads optimization with campaign source and Meta Conversions API, where connected

Set up Meta Conversions API →

Hi! I need a linen outfit for a wedding, size M, under Rp 500k.

Welcome! A linen outfit for a wedding in size M, under Rp 500.000. Do you prefer a dress or a top and skirt set, and which colors do you like?

Saved: occasion · size M · budget · source (where available)

Illustrative conversation

Capture & qualify

Learn what each shopper wants from the first message.

The agent picks up every new chat, whether it starts from a social message, website chat, QR code, or a supported click-to-message ad. It asks about occasion, budget, size, fit, color, and style, and saves the answers, plus the campaign source where available, to the customer record. Complex requests go to a sales associate.

Occasion, size, budget, and style saved as tags on the customer record
AI-suggested customer details for your team to review before they’re applied
Handoff to a specific teammate, with the conversation attached

Configure AI tagging →

Is the linen see-through? I’m between M and L.

The linen is lined, so it isn’t see-through. The size guide lists M at a 92 cm bust; between sizes, L gives a more relaxed fit. Want me to check L is in stock?

Answered from the size guide and product details

Illustrative conversation

Purchase confidence

Answer fit, fabric, and styling questions before they stall the sale.

The agent answers from your approved product information: size guides, fabric and care details, styling notes, and policies. It won’t guess. When a question needs human judgment, it hands over with context.

Answers only from the content you load, in your brand’s voice
Sizing, fabric, care, shipping, and returns covered in one thread
Tested in the Playground before it goes live

Add your data to the knowledge base →

Is there a matching skirt for the sage linen top?

Yes, the sage linen skirt is in stock in M at Rp 249.000. With the top, the set is Rp 489.000, within your budget. Want photos of both?

Stock and price read from the catalog

Illustrative conversation

Outfit recommendation

Recommend pieces that go together, from your live catalog.

The agent compares items, suggests matching pieces, and helps the shopper assemble a selection using current stock and price. It never offers what you can’t sell.

Live products, inventory, and price from Shopify, or from bitbybit Commerce
Past orders and conversations inform what it suggests
Product Recommendation skill, configured in AI Studio

Set up agent skills →

I’ll take the set, size M.

Here’s your payment link for the sage linen top and skirt, size M. If you’d like a team member to help instead, I can connect you.

Order created · payment link sent

Illustrative conversation

Checkout in the chat

Move from “I’ll take it” to checkout in the same thread.

When the shopper decides, the agent builds the selection, such as the top and matching skirt together, and sends the payment link in the chat. A teammate can step in at any point.

Create Order builds the cart and sends the payment link in-chat
For Shopify brands, agent-created orders are recorded back to Shopify
Hands to a human the moment judgment is needed

Set up agent skills →

Ready to set this up?

Connect WhatsApp, build your agent, and test it before going live. Step-by-step guides are in the Knowledge Base.

Start for free Install on Shopify Read the setup guides →

Hi Sample Shopper, you left the sage linen set in your cart. Want me to hold your size, or answer anything first?

Is shipping free to Bandung?

Yes, orders over Rp 500.000 ship free. I can send your payment link now.

Illustrative conversation

Abandoned checkout recovery

Reopen the conversation with shoppers who got distracted.

When Shopify reports an abandoned checkout, a configured WhatsApp follow-up goes out. The shopper can ask a last question right in the thread, and the agent answers and can finish the sale.

Prebuilt abandoned-checkout automation for Shopify stores
The agent picks up the reply, so a last question doesn’t stall the sale
Recorded on the customer profile for later follow-up

Set up Shopify triggers →

Where is my order? And can I exchange the size?

Order #1042 has shipped; here’s the tracking link. For the exchange, I’ve passed your order to our team so they can arrange the new size.

Status from the order record · exchange handed off with context

Illustrative conversation

Post-purchase support

Handle “where’s my order?” and exchanges with the context attached.

The agent answers routine order and policy questions from connected order information. For an exchange or a delayed parcel, it hands the case to your team with the order and the conversation already attached.

Order Tracking skill reads the customer’s own orders
Exchange and policy questions answered from your approved content
Escalates exceptions instead of improvising

Set up agent skills →

How many points do I have?

You have 1,200 points, enough for a reward. Want to see your reward options?

Balance and rewards read from bitLoyalty (Beta)

Illustrative conversation

Rewards · bitLoyalty (Beta)

Reward repeat purchases inside the conversation.

With bitLoyalty (Beta), a recognized customer on a supported Shopify setup can ask the agent about their points and available rewards, and choose whether to redeem one. An earned reward can also give opted-in customers a reason to come back for the next drop.

Points and rewards connected to the customer record
The customer chooses whether to redeem
Beta: supported Shopify setups with loyalty enabled

Learn about bitLoyalty →

Hi Sample Shopper, new linen pieces just dropped in the style you bought last time. Want to see what’s available in your size?

Yes please!

Segment: linen buyers · size M · opted in

Illustrative message

Repeat purchase

Bring customers back for the next drop.

Segment customers by declared interest, past conversations, and purchase context, then use configured follow-ups for new drops, seasonal collections, and reorders. Every message builds on what the record already knows.