Fashion discovery
Build a polished work outfit under $250
Natural-language search, outfit suggestions, budget-aware refinement.
Live Shaupa example using approved retailer products. Prices and availability may change.
Try fashion demoHelp shoppers find the products they were trying to describe.
Shaupa turns a room, occasion, budget, photo, fit preference or half-formed idea into relevant products from your catalogue. Start with a feed, CSV or API. Launch as a hosted branded assistant, embed it on your site, or use Shaupa behind your own UI. Product pages and checkout stay with you.
- Live with real products
- Works from product feeds
- Hosted, embedded, or API
- Pilot controls agreed upfront
- Built in Australia
Live now
This is already working with real products.
Shaupa is not a concept demo. Shoppers can already search naturally, save products, build boards, visualise ideas, and click through to retailer websites. For a retailer pilot, we can start from your existing product feed and create a focused branded experience around your catalogue.
Home discovery
Find a coastal sofa and coffee table under $2,000
Product discovery for rooms, styles, spaces, materials, and budgets.
Live Shaupa example using approved retailer products. Prices and availability may change.
Try home demoJewellery discovery
Show minimalist jewellery under $150
Guided jewellery discovery when shoppers do not know the exact product name.
Live Shaupa example using approved retailer products. Prices and availability may change.
Try jewellery demoWhy it matters
Your shoppers do not
think in filters.
Shoppers arrive with occasions, budgets, moods, constraints and half-formed ideas, not clean keywords. Shaupa turns how people actually talk into guided journeys towards relevant products.
Search misses intent
“Black dress” is easy. “Wedding guest outfit under $250” is where shoppers get stuck.
Filters hide demand
Failed and abandoned searches hide what shoppers actually wanted.
Shoppers need confidence
Fit preferences, budget and styling all affect whether a shopper feels confident continuing to a product page.
Capabilities
A complete product-discovery layer.
Everything shoppers need to move from a vague idea to the right product. Open any tile for detail.
How it works
From shopper language to product action.
-
Connect your catalogue
Send a feed, CSV, or API. Your IDs, prices, and links stay yours.
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Understand intent
Shaupa turns natural language into the right products, budgets, and styles.
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Guide the shopper
It shows what fits, explains why, and refines without starting over.
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Continue to the retailer
Shoppers reach the retailer product page with their preferences already clarified. Product information, cart and checkout remain with the retailer.
Pilot controls
Controls agreed before launch.
Retailer controls are defined with the Shaupa team during pilot setup. This includes catalogue scope, brand tone, priority collections, exclusions, guardrails and the events used to measure the experience.
Choose the eligible catalogue, categories, collections and product sources.
Agree how the assistant should speak and how much explanation it should provide.
Identify seasonal ranges, launches, campaigns or high-priority categories.
Define products, categories, materials and unsupported claims the assistant should avoid.
Agree how current price, availability, variants and product URLs are handled.
Choose the searches, refinements, saves, clicks and weak-result events to capture.
Define
Configure
Review
Adjust
These controls are configured with Shaupa during onboarding. A self-service retailer dashboard is planned for a later stage.
Intent analytics
See the demand your filters never captured.
Pilot reporting can show what shoppers asked for, where results were weak, which products were saved or clicked, and which catalogue gaps affected discovery.
Illustrative example dataThe example below demonstrates the types of signals a pilot can produce. It is not a Shaupa customer result.
EXAMPLE DATA
Illustrative only
- Searches
- Refinements
- Saved products
- Product clicks
- Weak-result queries
- Assisted journeys
What shoppers actually wanted
Catalogue inputs and measurement options
Start with the retail data you already have.
Product data from common retail platforms can be mapped through feeds, exports or APIs. Most pilots can begin without replacing current site search.
Supported now
- Affiliate or product feeds
- CSV exports
- Google Merchant Center-compatible feeds
- Existing ecommerce exports
- Custom APIs
Shaupa
Discovery layer
Maps catalogue data, reads shopper intent, returns agreed pilot signals.
Available through pilot mapping
- Shopify
- BigCommerce
- WooCommerce
- Adobe Commerce
- ERP or PIM exports
- GA4 events
- UTM tracking
- Affiliate links
- Product-click events
- Saved-product events
- Assisted-journey events
- Server-side click logs
Planned or custom
Deeper integrations, retailer-specific event paths and additional ecommerce platform mappings can be considered after the initial experience is measured.
Most pilots can begin without replacing current site search. Deeper integrations can be considered after the initial experience is measured.
Deployment options
Start light. Go deeper when the proof is there.
Shaupa can start as an external discovery partner or hosted branded page, then expand into embedded AI search, white-label or API after the retailer has measured the initial experience.
Discovery partner
Products can appear in Shaupa when relevant, with tracked click-through to retailer product pages.
- Best for
- Testing demand with low effort
- Setup
- Product feed or affiliate feed
- Commercial model
- Affiliate, referral or performance-based
Hosted branded assistant
A retailer-focused page powered by Shaupa and scoped to the approved catalogue.
- Best for
- Fast pilot
- Setup
- Product feed, brand rules, launch URL
- Commercial model
- Monthly pilot or subscription
Embedded AI search
A conversational discovery layer beside existing search, category or campaign journeys.
- Best for
- Retailers with search or discovery pain
- Setup
- Feed plus front-end integration
- Commercial model
- SaaS plus usage
White-label / API
Shaupa catalogue intelligence behind a retailer-controlled interface.
- Best for
- Larger retailers and product teams
- Setup
- API, events, rules, security review
- Commercial model
- Custom
Value estimator
Estimate the value and break-even point.
Use your own monthly online revenue, gross margin and pilot cost to estimate the potential value of embedded AI product discovery and the uplift required to cover the monthly cost.
Illustrative model, not a guaranteeEditable assumptions
Estimate monthly value
The default values are an illustrative retailer example, not an Australian retail average. Replace them with your own figures.
These are relative sitewide conversion or sales uplift assumptions. A 2.5% relative uplift changes a 2.00% conversion rate to 2.05%. It does not add 2.5 percentage points.
Calculate revenue from traffic instead
AOV uplift is optional and defaults to 0%. The external research used here found limited evidence of higher cart value.
How this estimate works
This model applies an editable relative sales or conversion uplift to monthly online revenue. It assumes average order value is unchanged unless the user adds a custom assumption. Estimated ROI is calculated from incremental gross profit after the monthly Shaupa cost, not from revenue alone.
The model is a planning tool, not a forecast. Actual outcomes depend on catalogue quality, traffic, product range, placement, shopper adoption, stock availability, implementation and measurement.
Benchmark context
External research, not Shaupa customer results. The 2.5% scenario is an intentionally selected research anchor, not a reported industry average, expected Shaupa result or guaranteed result.
Etsy personalised semantic retrieval
5.58% increase in search purchase rate and 2.63% increase in site-wide conversion rate across live A/B tests.
SourceBest Buy long-tail ecommerce retrieval
3% conversion improvement in an online A/B test after embedding-based retrieval was added to the existing recall system.
SourceGenerative AI field experiments in online retail
Search-query refinement and product-description applications produced sales effects in the approximate 2-3% range. The study found gains mainly through higher conversion, while average cart values were largely unchanged.
SourceJD.com generative faceted search
2% relative increase in user conversion rate in online A/B testing.
SourceAll calculations run locally in the browser. Shaupa does not send, log or store raw retailer financial inputs from this estimator.
Pricing
Start with a low-risk pilot, then scale with your catalogue.
Pricing depends on catalogue size, launch surface, usage, and integration depth. Most Australian retailers can start with either a discovery partnership or a hosted branded pilot before committing to embedded search or white-label deployment.
Performance-based discovery partner
Approved products can appear in Shaupa when relevant.
Approved products can appear in Shaupa when relevant, with tracked click-through to the retailer website. Commercial terms can follow an affiliate, referral or performance-based model.
No fixed monthly platform fee
Apply as a retailer
Starter Pilot
For a single-catalogue hosted pilot.
A$750/mo
A$500 setup
Start a pilot- Up to 5,000 products
- Hosted Shaupa-powered assistant
- Natural-language product discovery
- Follow-up refinement
- Product saves and click tracking
- Standard intent analytics
- Email support
Growth
For growing retail teams.
A$1,500/mo
A$1,000 setup
Request a branded demo- Up to 25,000 products
- Branded hosted assistant
- Visual discovery and styling
- Campaign and collection journeys
- GA4 event support
- Merchandising rules
- Advanced intent analytics
- Priority support
Scale
For high-volume catalogues and embedded surfaces.
A$3,500/mo
A$2,000 setup
Talk to sales- Up to 100,000 products
- Embedded AI search surface
- API discovery layer
- Advanced product ranking controls
- Product feed refresh rules
- Custom analytics report
- Dedicated onboarding
- Priority support
Enterprise
For white-label, API, and custom deployments.
Custom
Contact sales
- Unlimited or custom catalogue size
- White-label assistant
- Custom integrations
- Security and data review
- SLA and onboarding plan
- Dedicated success support
- Custom reporting
- Enterprise commercial model
Intro pilot pricing is available for early Australian retail partners. Final pricing depends on catalogue size, launch surface, usage, and integration depth.
Compare all plan features
| Feature | Discovery Partner | Starter Pilot | Growth | Scale | Enterprise |
|---|---|---|---|---|---|
| Product inclusion in Shaupa consumer assistant | Yes | Optional | Optional | Optional | Optional |
| Hosted discovery page | No | Yes | Yes | Yes | Yes |
| Branded assistant | No | Light | Yes | Yes | Custom |
| Embedded on-site surface | No | No | Optional | Yes | Yes |
| White-label | No | No | No | Optional | Yes |
| API access | No | No | No | Yes | Yes |
| Natural-language search | Yes | Yes | Yes | Yes | Yes |
| Follow-up questions | Yes | Yes | Yes | Yes | Yes |
| Visual discovery | Basic | Basic | Yes | Yes | Custom |
| Product boards and saves | Yes | Yes | Yes | Yes | Custom |
| Campaign journeys | No | 1 | 3 | Unlimited | Custom |
| Merchandising rules | Basic | Basic | Advanced | Advanced | Custom |
| Intent analytics | Basic | Standard | Advanced | Advanced | Custom |
| GA4 events | Referral only | Basic | Yes | Yes | Custom |
| Support | Priority | Priority | SLA |
FAQ
Frequently asked questions.
How is Shaupa different from a basic chatbot?
A chatbot usually answers questions. Shaupa is built for product discovery. It understands shopper intent, maps requests to catalogue data, shows relevant products, asks follow-up questions, supports saved boards and visualisation, and sends shoppers to retailer product pages to purchase.
Can Shaupa work with our existing product feed or API?
Yes. Shaupa can start from a Google Merchant Center feed, ecommerce product feed, CSV export, API, ERP/PIM export, or affiliate feed. A pilot can begin with a simple export and move to deeper integration later.
Can brand tone, catalogue scope and exclusions be agreed before launch?
Yes. These are agreed with the Shaupa team during pilot setup. The pilot can define catalogue scope, tone, priority collections, exclusions, guardrails and measurement events. A self-service retailer dashboard is planned for a later stage.
Does this replace our current search?
Not necessarily. Shaupa can start beside your current search as a hosted branded assistant, campaign page, or embedded discovery surface. Retailers can move toward deeper AI search only after a pilot proves value.
Can it run as a pilot first?
Yes. The recommended first step is a hosted branded pilot using your catalogue. This lets your team test shopper journeys, product relevance, analytics, and setup effort before committing to a larger deployment.
What data and insights do retailers receive?
Pilot reporting can include search-intent trends, weak-result queries, common budgets, styles and materials, saved products, clicked products, follow-up questions and assisted journeys, depending on the agreed measurement setup.
Does Shaupa handle checkout?
No. Shaupa helps shoppers discover and decide. Product pages and checkout stay on the retailer’s website.
Is Shaupa a marketplace or comparison site?
No. Shaupa is an AI shopping assistant and product discovery layer. The catalogue powers guided shopping experiences, but checkout remains with the retailer.
How does pricing work?
Pricing depends on catalogue size, launch surface, usage, and integration depth. Retailers can start with a discovery partnership, a hosted branded pilot, or a larger SaaS/API deployment.
What categories work best?
Shaupa is strongest where shoppers need guidance, taste, confidence, or context. Its current category focus is fashion and apparel, footwear, jewellery and accessories, furniture, homewares, and other home or space-related shopping.
Pilot request
Tell us what you sell. We’ll show the best pilot path.
Share your website, category, and preferred launch path. We’ll respond with a practical pilot recommendation and, where possible, a branded demo using your catalogue.
- 01Retailer website
- 02Catalogue source
- 03Pilot preference
- 04Search challenge
Get started