PRODUCT DISCOVERY FOR ECOMMERCE
The right product.
In seconds.
At a lower cost.
Don't send thousands of products with every message. Navlu finds the right candidates first, then ranks them by your customer's intent, budget and conversation.
Your catalog. Your style. One snippet.
HOW DOES IT WORK IN YOUR STORE?
From visitor to the right product.
Real catalog. Real searches.
The same assistant you embed in your store.
An interactive demo using real search results.
SPEED, COST AND RELEVANCE
Instead of reading the entire catalog,
focus on the right candidates.
| Approach | What happens with each search | How decisions are made |
|---|---|---|
| Entire catalog → language model | Sends every product to the model with each request. | Input grows with your catalog. Speed and cost depend on the model. |
| Vector search alone | Retrieves products semantically similar to the message. | Very fast. On its own, it does not validate conversation history, exclusions or product suitability. |
| Navlu | Finds candidates first, then evaluates and ranks them in context. | Brings budget, age, stock and preferences such as “not this one” into the search. |
SETUP
From catalog to conversation.
Connect your products
JSON, CSV, XML or PostgreSQL. Keep prices, stock and availability up to date with scheduled feeds.
Make it yours
Customize colors, product cards, mascots and the requests your assistant can handle.
Go live on your store
Add the embed snippet. Let customers discover products through conversation, on mobile and desktop.
PAY AS YOU GO
No subscription.
You're in control.
Add credit and track usage in your dashboard.
More discovery.
Add as much credit as you need.
Track your usage in real time.