Customer: I need a dress for a spring wedding, size 10, under $200
Your agent: Lovely occasion. These two suit an outdoor spring wedding, and both are in your size right now:
Sapphire Blue A-Line Midi DressBlush Crepe Wrap Midi DressCustomer: The sapphire one, with express delivery please. Can I pay here?
Your agent: Of course. Here’s your order:
- Sapphire Blue A-Line Midi
- $189.00
- Express delivery
- $9.95
- Total
- $198.95
- 3 days later
Customer: Where’s my order?
Your agent: Good news. Order #8412 is out for delivery and should be with you today.
The shopping agent that’s actually yours
shoppa drops into your site with two lines of code. Your agent takes customers from first question to checkout, and keeps helping after the sale.
- Soldin one conversation
- Yoursnot rented
- 2 linesof code to go live
Your catalogueready
feeds
Your agent
- discover
- checkout
- support
answers
Your customer
Do you have the Sapphire Blue Midi in size 10?
Found it: in stock and in your size.
Sapphire Blue Midi
Pay here in the chat?
the agent
One conversation from ‘I’m looking for…’ to ‘it’s on its way’
Your agent greets customers on your site, answers from your catalogue, takes payment in the chat, and handles follow-ups after the sale.
It’s grounded in your own product catalogue, ingested from the feed you already have.
the embed
Two lines of code.
No rebuild, no platform migration.
<script src="https://api.shoppa.au/embed/shoppa.js"></script>
<script>Shoppa.init({ retailerId: "yourstore", apiBase: "https://api.shoppa.au" })</script>the demo
See it live.
Harlow the Label, a demo boutique running the real embed.
demo.shoppa.au- conversational discovery
- checkout in the chat
- order support
- catalogue-grounded
- on-brand
- two-line embed
features
Everything your agent can do
Finding products
Conversational search
Your customers refine results message by message, and the agent remembers what came before.
Natural-language search
Requests like ‘a warm winter coat for under $200’ become filters across your catalogue.
Price history
Customers see how a price has moved, so they can spot a good deal.
Shopping inspiration
Ideas from a theme or occasion when customers don’t know what they want yet.
Shopping guides
Your own advice guides big purchases, with products shown along the way.
Review summaries
Reviews boil down to the main praise and complaints, each traced to its source.
Product comparison
Products sit side by side in a table, with the trade-offs made clear.
Visual shopping
Virtual try-on
Your customers see clothing, glasses or make-up on their own photo.
See it in your space
Customers place products in a photo of their room and arrange each piece.
Visual search
A photo searches your range, with the closest matches first.
Photo recommendations
A photo becomes a matching set of products, ready to edit and buy.
Room design
A room and a style become a set of products that suits the space and budget.
Buying and planning ahead
Event planning
An occasion like a birthday party for twelve becomes one full basket.
Budget optimisation
Your customers set a budget, and the agent spreads it across the basket for the best result.
Shopping lists
Named lists stay saved, ready to add to or buy from later.
Automatic buying
The agent buys under rules customers set in advance, without confirming each order.
Price alerts
Customers name their price, and the agent tells them when it drops below.
Replenishment reminders
The agent predicts when regular items will run out and prompts a reorder.
the catalogue
Your catalogue is your agent’s brain.
Everything your agent says starts with your product data. shoppa ingests the feed you already have - titles, descriptions, prices, sizes, stock - and answers only from it. A complete, current feed is the difference between a guess and a confident answer.
BeforeIncomplete
Blue Dress
- GTIN
- -
A blue dress for women.
- coverage
- thin
- agent signal
- unclear
Last updated: 8 months ago
what your feed carries
- titles
- descriptions
- prices
- sizes & colours
- stock & availability
- images
AfterAgentic-ready
Women’s A-Line Midi Dress - Sapphire Blue, Taylor Swift-inspired
- GTIN
- 0614141123456
Flattering A-line midi dress in sapphire blue crepe. Features a fitted bodice with subtle darting, a flowing midi-length skirt, and concealed side zip. Inspired by the blue dress trend popularised by Taylor Swift. Perfect for weddings, racing carnivals, and cocktail events. Machine washable. Available in sizes 6–18.
- coverage
- complete
- agent signal
- clear
Trending: Taylor Swift blue dress
Last updated: 2 hours ago
Fresh feed in, accurate agent out.
Agentic shopping isn’t coming. It’s here.
700M+
weekly users
OpenAI launches Instant Checkout in ChatGPT
Source · OpenAI Instant CheckoutUCP
agent checkout standard
Google launches UCP, an open standard for agent checkout
Source · Google UCP81%
of retail executives
say AI will weaken brand loyalty (Deloitte)
Source · Deloitte 2026 outlook$3–5T
agentic commerce
McKinsey projects $3–5 trillion globally
Source · McKinseyRetailers who own the conversation keep the customer.The rest are handing their relationships to someone else’s agent.
the shift
Your customers will talk to an AI agent. Make sure it’s yours.
When shopping moves into a third-party chat, the platform owns the relationship, the data, and the follow-up sale. A shopping agent you own keeps discovery, checkout, and after-sales support on your site, in your brand, answering from your catalogue.
Disintermediation
AI agents become the storefront. If the agent belongs to a platform, the customer relationship, loyalty activation, and first-party data go with it. Your own agent keeps them.
Source · McKinseyThe data foundation
AI-driven traffic to retail sites grew 393% year on year in Q1 2026. An agent is only as good as the catalogue behind it: missing descriptions, stale inventory, and inconsistent taxonomy produce wrong answers, whether the agent is yours or a platform’s.
Source · Adobe Digital InsightsThe race is on
Early movers are already putting branded agents in front of their customers. Every month without one is a month of conversations, and conversions, happening somewhere else.
Source · Deloitte 2026 outlookWe went from a script tag to a live agent in an afternoon. Customers ask, pay, and track orders without leaving the chat - and it’s our brand doing the talking.
pricing
Flexible pricing. Lower bills.
Choose per-session or per-token pricing, whichever suits how your customers shop.
Tell us about your store, and we’ll send you a quote.
Get a quote
~40% cheaper than other AI shopping agents.
- Per session
- A set price for each customer session, so your costs stay predictable as your traffic grows.
- Per token
- You pay only for what your agent uses, measured in tokens: the small units of text that AI models read and write.
- You save
- Up to40%
Put your own agent in the conversation
The retailers deploying their own shopping agents today are building customer relationships that compound tomorrow.
Contact us