Made in the USA 🇺🇸Supporting customers globally
AI Product Discovery & Conversion

Help shoppers find the right product faster—and move toward a confident decision

Discovery-AI combines product search, relevant recommendations, guided discovery, visual context, and conversational shopping assistance for large visual catalogs across rug and furniture retail.

AI Product SearchRecommendationsGuided NavigationVisual DiscoveryVisualizerAI Shopping Assistant
Discovery-AI product search results with product images, filters, sizes, variants, and pricing
Start with better product discovery: help shoppers reach relevant products, available variants, and useful alternatives faster.
Core capability 1

Product search that understands how people actually shop

Search should connect customer intent with the right product attributes and available variants—not simply match keywords. In rugs, that includes size, shape, color, style, material, pattern, room, use case, and budget. Furniture adds product type, dimensions, finish, material, collection, and room context.

Search results for blue 5 by 8 rugs with product details and prices

Understand combined intent

Handle multi-attribute requests instead of forcing shoppers through disconnected filters and generic keyword matching.

Shape-aware search results showing round rugs with exact images and prices

Respect variants and availability

Show compatible shapes, sizes, finishes, imagery, availability, and prices instead of sending shoppers to dead ends.

Product search results showing available variants and price ranges

Surface the right product and variant

Present the best matching product, image, attributes, brand, material, and price where the catalog supports it.

Core capability 2

AI-driven recommendations

Recommendations should give the shopper meaningful alternatives—not simply more products. Discovery-AI combines visual similarity, product attributes, variant compatibility, catalog relationships, product context, and shopper engagement signals.

Product page with size, price, product information, and visual-shopping action
The product being viewed provides the context for the alternatives shown below it.
AI-driven similar-product recommendations using visual and product signals
Similar Products uses visual, attribute, product-context, and engagement signals to surface strong alternatives.

More Like This

Visually and contextually similar products for shoppers who like the current item but want alternatives.

Variant-Compatible Alternatives

Options that preserve important size, shape, material, finish, or availability requirements.

Similar Look & Style

Related color direction, form, pattern, texture, material, or design feel without simply duplicating the current product.

Broader Relevant Options

Useful alternatives based on the product, catalog relationships, popularity, and observed shopper interest.

Complementary shopping tools

Support shoppers who browse differently or need more inspiration

Search and recommendations are the foundation. Visual and room-based workflows can add guided navigation, style discovery, visualization, and conversational assistance where the catalog and use case support them.

Guided Navigation and Style AI room-to-rug recommendation interfaces
Discovery-AI Visualizer

See the product in context before buying

After search, recommendations, or Style AI identifies promising products, visualization can help the shopper evaluate those options in room context.

Use the customer’s room

The shopper uploads a room photo or uses a supported room image.

Place a selected product in context

Show the product in the room so the shopper can judge overall look and fit where supported.

Compare promising options

Move from search or recommendations into visualization without restarting the journey.

Support conversion

Greater confidence can lead to an online purchase, inquiry, phone call, or showroom visit.

Discovery-AI Visualizer displaying a selected rug in a furnished room
Discovery-AI Visualizer: connect product discovery with a room-based view before the shopper decides.

A connected shopping journey

The retailer can use only the capabilities it needs. When combined, they create a more useful path from a broad need to a confident decision.

1. DiscoverSearch or guided navigation helps the shopper reach a relevant set of products.
2. CompareRecommendations surface strong alternatives and complementary options.
3. Add visual contextWhere supported, visual and room signals help shoppers evaluate style and fit.
4. ActThe shopper moves toward a purchase, inquiry, call, or showroom visit.
AI Shopping Assistant

Natural-language help for product questions and next steps

The shopping assistant connects natural-language requests with the catalog, product context, store information, search, recommendations, visual tools, and ecommerce actions.

Find and compare products

Understand natural requests and return relevant products with available options, prices, details, and supported shopping actions.

Answer product, service, and store questions

Help with care, materials, availability, services, store hours, directions, returns, and other common needs.

Support conversion and staff handoff

Move shoppers toward a purchase, inquiry, call, showroom visit, or transfer the conversation to store staff when personal help is needed.

Discovery-AI AI Shopping Assistant showing product recommendations and actions

Start with search and recommendations—or build a broader discovery experience

Choose the capabilities that fit the retailer’s catalog, customer needs, and growth priorities.