Turn fashion questions into orders, right in the chat.
An AI agent answers sizing and shipping questions, recommends from your live catalog, sends the payment link, and follows up — all in the WhatsApp thread.
Fashion shoppers ask before they buy — and leave if you’re slow.
Every DM is a buying signal. Without a system behind it, the signal goes cold.
Size and fit questions never stop
“Does it run small? Is it in stock in M?” Each one is a pre-purchase question that waits for a person to be free.
“Where’s my order?” fills the inbox
Tracking requests repeat all day and pull the team away from the shoppers who are ready to buy.
Abandoned checkouts go unanswered
Shoppers who left at checkout rarely hear from you again, and nothing records why they stopped.
One agent covers the shopper journey, from first question to repeat order.
Built in AI Studio, working in bitChat, writing to bitCRM. Each capability below is a configured skill, not a script.
Does the linen shirt run small? I’m between M and L.
Our linen shirt fits true to size with a relaxed cut. If you’re between sizes, most customers go up to L. Want me to check L is in stock?
Answered from the size guide in the knowledge base
Answer sizing, shipping, and returns in the thread.
The agent answers from your knowledge base and live catalog, in your brand’s voice and the customer’s language. When it isn’t sure, it escalates with context rather than guessing.
- Sizing, materials, shipping, and return-policy answers from your own content
- Human handoff with the conversation brief attached
- Tested in the Playground before it goes live
Powered by AI Studio · bitChat · Escalation
Set up your AI agent →Looking for something to wear to a beach wedding. Under 800k.
Two options in stock: the sage wrap dress (Rp 690.000) and the cream midi (Rp 750.000). Both come in your usual size. Want photos of each?
Stock and price read from the catalog
Recommend the right piece from your live catalog.
The agent suggests items using current stock and price, and the shopper’s own words about occasion, style, and budget. It won’t offer what you can’t sell.
- Live products, inventory, and price from Shopify, or from bitbybit Commerce
- Order history and past conversations inform what it suggests
- Product Recommendation skill, configured in AI Studio
Powered by AI Studio · Product Recommendation
Set up agent skills →I’ll take the sage wrap dress in M.
Done. Here’s your payment link for the sage wrap dress, size M. I’ll confirm here as soon as it’s paid.
Order created · payment link sent
Close the sale in the same thread.
When the shopper says yes, the agent builds the order and drops the payment link right there. No redirect to a form, no handoff to start over.
- 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
Powered by AI Studio · Create Order · bitChat
Set up agent skills →Where’s my order? I ordered on Monday.
I found it: order #1042 has shipped and is on its way. Here’s the tracking link. Anything else I can check?
Status pulled from the customer’s order record
Answer “where’s my order?” without a person.
The agent looks up the customer’s orders and shares the current status. Exceptions such as a delayed parcel or an address change go to your team with the order already attached.
- Order Tracking skill reads the customer’s own orders
- Order history sits on the same record as the conversation
- Escalates exceptions instead of improvising
Powered by AI Studio · Order Tracking · bitCRM
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.
Hi Sample Shopper, your order has been delivered. How does the fit feel? Reply here if you’d like to exchange for another size.
Love it, thanks! Can I leave a review?
Triggered by order fulfilled
Send the next message when it matters.
Build follow-ups on a visual flow builder, or start from the prebuilt library: order fulfilled plus a review request, and more. Replies land back in the same thread, where the agent can answer.
- Follow-up skill and flow builder: trigger, condition, delay, action
- Prebuilt automations to start from
- Opted-in customers only, using WhatsApp-approved templates
Powered by bitCRM · Follow-up
Build an automation →Sample Shopper · +62 8•• ••• 0000
Tags: size M · prefers linen · asked about beach wedding
Segment: Occasion-wear browsers
Know each shopper’s size, style, and history.
The agent tags what it learns as it talks: size, style preference, intent. Those tags build segments in bitCRM, so the next message fits the person. Tags exist to recognize and serve the customer, not to profile them.
- Data Collection skill writes tags and fields in-thread
- Segments built from tags, orders, and conversation history
- One profile per customer, keyed by phone number
Powered by bitCRM · Data Collection
Configure AI tagging →Hi Sample Shopper, you left the sage wrap dress 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.
Reach shoppers who left at checkout.
When a shopper abandons checkout, a WhatsApp message goes out off the Shopify Abandoned Checkout trigger. If they reply with a question, the agent answers and can finish the sale in the thread.
- Prebuilt abandoned-checkout automation for Shopify stores
- The agent picks up the reply, so questions don’t stall the sale
- Recorded on the customer profile for later follow-up
Powered by bitCRM · Follow-up · AI Studio
Set up Shopify triggers →Meets customers where they write, and fits the stack you run.
One agent and one customer record across every channel, with your store and tools connected underneath.
Give every fashion shopper an answer in seconds, not hours.
Start free, or see the agent work on your own catalog. Trusted by 1,000+ brands in 50+ countries.