Fashion discovery
Build a summer work outfit under $250
Natural-language search, outfit suggestions, budget-aware refinement.
Try fashion demoHelp shoppers find the products they were trying to describe.
Shaupa turns vague shopper intent, a room, a budget, a photo, a body type, or a 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. Checkout stays with you.
- Live with real products
- Works from product feeds
- Hosted, embedded, or API
- Retailer-controlled
- 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
Show me a coastal living room under $1,500
Product discovery for rooms, styles, spaces, materials, and budgets.
Try home demo
Gift discovery
Find a gift for my mum who likes minimalist jewellery
Guided gift discovery when shoppers do not know the exact product name.
Try gift demoWhy it matters
Your shoppers do not think in filters.
They arrive with occasions, rooms, budgets, sizes, moods, photos, constraints, and uncertainty. Traditional search waits for exact keywords. Shaupa turns natural shopper language into product journeys that help people narrow the choice, build confidence, and reach the right product faster.
Search misses intent
“black dress” is easy. “wedding guest outfit under $250 that works with gold heels” is where shoppers need guidance.
Filters hide demand
Your team rarely sees the full intent behind failed searches, vague searches, and abandoned browsing sessions.
Shoppers need confidence
Fit, style, colour, budget, room context, and product combinations all affect whether a shopper feels ready to buy.
Discovery system
One AI layer, several ways to use it.
Each module can stand alone, but the value compounds when they work together. Start with a simple hosted pilot, then expand into embedded search, white-label, API, and analytics when ready.
How it works
From shopper language to product action.
Connect catalogue context
Send a product feed, Google Merchant Center feed, CSV, API, or category export. Product IDs, prices, images, URLs, availability, and retailer ownership stay intact.
Understand shopper intent
Shaupa reads natural-language requests and maps them to product attributes, budget, style, size, material, occasion, room, and constraints.
Guide the shopper
The assistant shows relevant products, explains why they fit, asks useful follow-up questions, and helps shoppers refine without starting over.
Return to your store
Product pages and checkout stay with you. Shaupa helps shoppers arrive with more context and stronger purchase intent.
Catalogue feed
Intent understanding
Guided discovery
Retailer product page
Shopper experience
More than a search box. More useful than a chatbot.
Shaupa helps shoppers move from vague intent to confident product choices through conversation, visuals, saved ideas, and guided refinement.
Natural-language product discovery
Shoppers describe what they want in their own words.
Follow-up refinement
The assistant asks useful questions and helps narrow results.
Budget-aware recommendations
Results can account for budgets, price ranges, and total board cost.
Outfit, room, gift, and lifestyle journeys
Built for real shopping missions, not just keyword searches.
Product boards and saved ideas
Shoppers can save products, organise ideas, and return later.
Visual styling and room/look generation
Shoppers can see how selected products work together.
Image-based inspiration search
Shoppers can use images or visual references to guide discovery.
Product explanations
Shaupa explains why products match the shopper’s request.
Similar and complementary suggestions
Help shoppers find alternatives, add-ons, and matching products.
Click-through to retailer product pages
Product pages and checkout remain on the retailer’s website.
Retailer control
You control the catalogue, rules, tone, and launch surface.
Shaupa is designed to guide shoppers without taking control away from the retailer. Define which products are included, which collections matter, what language the assistant should use, which claims to avoid, and how success is measured.
Brand toneHelpful, concise, premium, playful, expert, or custom.
Priority collectionsNew arrivals, seasonal ranges, high-stock products, campaigns.
ExclusionsHide products, categories, brands, materials, claims, or unsupported recommendations.
Stock rulesRespect availability, price, variants, sale status, and product URLs.
GuardrailsAvoid unsupported fit, health, delivery, warranty, or material claims.
MeasurementTrack searches, refinements, saves, clicks, weak results, and assisted journeys.
Intent analytics
See the demand your filters never captured.
Shaupa shows what shoppers actually asked for, where results were weak, which products were saved or clicked, and which catalogue gaps are blocking discovery. Every pilot should leave your team with useful search and merchandising evidence.
Example signals only. Revenue lift should be claimed only after measured case studies.
Example pilot signals
Searches1,284
Refinements412
Saved products286
Product clicks734
Weak result queries68
Assisted journeys209
Integrations
Built for the retail stack you already run.
Start with the product data you already have. Shaupa can work from product feeds, APIs, CSV exports, Google Merchant Center, ecommerce platforms, analytics events, and custom catalogue sources.
Product data
- Google Merchant Center
- Shopify product feed
- BigCommerce
- WooCommerce
- Magento / Adobe Commerce
- CSV exports
- Custom APIs
- ERP / PIM exports
Measurement
- GA4 events
- UTM tracking
- Affiliate tracking links
- Server-side click logs
- Klaviyo events
- Product click events
- Saved product events
- Assisted journey events
Deployment
- Hosted Shaupa page
- Branded retailer page
- Embedded script
- API
- White-label deployment
- Campaign pages
Most pilots can start without replacing your current search. Deeper integrations can be added after the first results are 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 once the retailer has proof.
Discovery partner
Your products appear in Shaupa’s consumer assistant when relevant. Shoppers click through to your website to buy.
- Best for
- Testing demand with low effort
- Setup
- Product feed or affiliate feed
- Commercial model
- Referral, affiliate, or performance-based
Hosted branded assistant
A Shaupa-powered page focused on your catalogue, styled for your brand, and hosted without changing your ecommerce stack.
- Best for
- Fast pilot
- Setup
- Product feed, brand rules, launch URL
- Commercial model
- Monthly pilot or subscription
Embedded AI search
Add Shaupa as an AI discovery layer inside your site, beside or above existing search and category journeys.
- Best for
- Retailers with search/discovery pain
- Setup
- Feed plus front-end integration
- Commercial model
- SaaS plus usage
White-label / API
Use Shaupa’s product intelligence inside your own UI or branded assistant.
- Best for
- Larger retailers and product teams
- Setup
- API, events, rules, security review
- Commercial model
- Custom
Opportunity calculator
Estimate the upside from guided product discovery.
Use your own traffic, conversion rate, AOV, and margin to estimate how Shaupa could affect revenue, gross profit, and payback. The assumptions are editable and informed by public ecommerce search, recommendation, and AI shopping benchmarks.
Editable assumptions
Choose a deployment model
Conservative, Base, and Strong are editable benchmark scenarios. Use Custom to enter your own assumptions.
How this estimate works
This calculator estimates the potential impact of guided product discovery using editable assumptions. Embedded AI search and white-label/API modes estimate uplift across the portion of the store affected by better search and discovery. Hosted branded assistant mode estimates uplift only from shoppers who engage with the assistant. Discovery/referral mode estimates new traffic sent from Shaupa to the retailer's website. ROI is calculated from estimated gross profit after Shaupa cost, not just revenue.
Benchmark context
These public benchmarks inform the default ranges. They are not Shaupa results. Shaupa will replace benchmark assumptions with measured pilot data as retailer results become available.
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 search
3% conversion improvement in an online A/B test after adding embedding-based retrieval.
SourceJD.com personalised semantic retrieval
+1.29% overall conversion rate and +10.03% conversion rate for long-tail queries.
SourceOnline retail GenAI field experiments
Sales effects ranged from no detectable impact to 16.3%, with gains mainly coming through higher conversion rates.
SourceAdobe generative AI retail traffic
AI retail visitors browsed 12% more pages and had 23% lower bounce rate. 39% of surveyed consumers had used generative AI for online shopping.
SourceNVIDIA State of AI in Retail and CPG
89% of respondents said AI increased annual revenue and 95% said AI decreased annual costs.
SourceThis calculator is an estimate, not a guarantee. It does not represent measured Shaupa customer results. Actual outcomes depend on traffic quality, catalogue data, product range, assistant placement, shopper adoption, pricing, stock availability, margins, tracking setup, and implementation quality.
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.
Discovery Partner
For retailers who want Shaupa discovery traffic.
$0monthly + referral
Apply as a retailer
- Products included when relevant
- Click-through to your website
- Retailer-owned checkout
- Product feed or affiliate feed
- Basic monthly intent report
- Referral or affiliate tracking
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 plans
Use this as a scoping guide for the pilot path that fits your catalogue and team.
| 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 |
Pilot process
Bring a catalogue. We’ll show the guided journey.
A Shaupa pilot should prove product discovery value before a retailer commits to a deeper integration.
Send product data
Feed, CSV, API, or sample export.
Pick the pilot surface
Discovery partner, hosted branded page, embedded search, or API.
Set brand rules
Tone, exclusions, priority collections, product rules, and claims to avoid.
Launch the demo
Shaupa creates a working experience using your products.
Review the signals
See shopper queries, saves, clicks, weak results, and product intent.
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 we control brand tone, exclusions, collections, and priorities?
Yes. Retailers can define the assistant’s tone, included products, excluded categories, priority collections, campaign rules, and claims the assistant should avoid.
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?
Retailers can receive search intent trends, no-result or weak-result queries, popular budgets, styles, materials, colours, saved products, clicked products, follow-up questions, and assisted journey reports.
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. Fashion, footwear, furniture, homewares, gifts, jewellery, accessories, activewear, baby, beauty, and lifestyle categories are strong early fits.
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