
Understand combined intent
Handle requests such as blue 5×8 rugs, close-size alternatives, pet-friendly materials, traditional styles, or rugs for a dining room.
Discovery-AI starts with the two capabilities that matter most for rug shopping: rug-specific search and relevant recommendations. Stores can then add guided navigation, Style AI room-to-rug recommendations, the Discovery-AI Visualizer, and the AI Rug Shopping Assistant as needed.

Search should understand how customers actually shop for rugs—not just match keywords. It should connect size, shape, color, style, material, pattern, room, use case, and budget with the right products and available variants.

Handle requests such as blue 5×8 rugs, close-size alternatives, pet-friendly materials, traditional styles, or rugs for a dining room.

Show compatible shapes, relevant imagery, available sizes, and corresponding prices instead of sending shoppers to dead ends.

Present the best matching product, image, size, brand, material, and price where the catalog supports it.
Recommendations should give the shopper meaningful alternatives—not simply more products. Discovery-AI combines visual similarity, rug attributes, size and shape compatibility, product context, catalog relationships, and shopper engagement signals.


Visually and contextually similar rugs for shoppers who like the current product but want alternatives.
Options that preserve an important size or shape need while still considering overall relevance.
Related color direction, pattern, texture, or design feel without simply duplicating the current rug.
Useful alternatives based on the product, catalog relationships, popularity, and observed shopper interest.
Search and recommendations are the foundation. These tools add structured browsing and room-based inspiration without repeating the role of the AI Rug Shopping Assistant.

After search, recommendations, or Style AI identifies promising rugs, the Visualizer helps the shopper evaluate those options in room context.
The shopper uploads a room photo or uses a supported room image.
Show the rug in the room so the shopper can judge overall look and fit.
Move from search or recommendations into room visualization without restarting the journey.
Greater confidence can lead to an online purchase, inquiry, phone call, or showroom visit.

The store can use only the capabilities it needs. When combined, they create a more useful path from a broad need to a confident decision.
The AI Rug Shopping Assistant is the single conversational experience on the site. It connects natural-language requests with the catalog, product context, store information, search, recommendations, the Visualizer, and ecommerce actions.
Understand natural requests and return relevant products with sizes, prices, details, Add to Cart, and See in Room actions.
Help with care, materials, availability, store hours, directions, returns, and other common needs.
Move shoppers toward a purchase, inquiry, call, showroom visit, or transfer the conversation to store staff when personal help is needed.

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