Convert browsers who never find the right SKU
Many sessions end because search and filters cannot express a fuzzy need. Voice turns “I’m not sure what it’s called” into a short guided path to a product page.
VoxCartAI turns natural-language questions into guided recommendations from your live catalog. Less dead-end browsing, more confident paths to purchase - on widget and phone.
The discovery gap
Most stores optimize for shoppers who already know the SKU or category. Real people describe outcomes, constraints, and comparisons - especially on mobile. Voice discovery meets them in that language and pulls answers from inventory that actually exists today.
Typical browse
Filters, tabs, abandoned PLPs
Voice discovery
One conversation, short shortlist
Business result
Higher PDP reach & conversion
How it works
The agent listens, asks clarifying questions when needed, and queries your store - price, variants, stock, and attributes - so every recommendation is grounded in what you sell right now.
Business outcomes
Product discovery is a top-of-funnel conversion lever - fewer “I couldn’t find it” exits, more sessions that reach a product page with confidence.
Many sessions end because search and filters cannot express a fuzzy need. Voice turns “I’m not sure what it’s called” into a short guided path to a product page.
When the agent explains why two items work together - from live catalog data - add-ons feel helpful, not like a popup upsell.
Shoppers get a spoken recommendation in one conversation instead of opening five tabs to compare specs and reviews.
Discovery sessions share memory with widget and phone - so a follow-up call or return visit continues where browse left off.
Discovery patterns
These are the high-volume browse moments that filters handle poorly - and where voice shines.
“Something waterproof for weekend hikes under $200” - the agent narrows category, price band, and in-stock options without forcing filter gymnastics.
“What’s the difference between these two?” - side-by-side explanations from your catalog, not generic marketing blurbs.
“Do you have this in large?” - if not, the agent surfaces close substitutes that match fit and use case.
“Birthday gift for a runner who already has shoes” - clarifying questions turn vague intent into a shoppable shortlist.
Shopper journey
No need to know category URLs or filter labels - they speak the problem (“waterproof”, “under $150”, “ships fast”).
Follow-up questions plus WooCommerce or Shopify product data narrow to a shortlist that actually exists in inventory.
Each suggestion explains trade-offs - price, materials, delivery - so the shopper feels informed, not pushed.
Send a product link, add to cart guidance, or hand off to a human for complex B2B quotes - with browse context attached.
Example interactions
Each scenario is a common discovery moment - the kind that sends shoppers back to Google unless your store can answer immediately.
“I need a birthday gift for my partner who likes minimalist home decor.”
The agent asks about budget and style, pulls in-stock decor SKUs, and describes two options - including which ships before the date they mention.
“Which espresso machine is easier to clean - the one on sale or the premium model?”
The agent compares spec sheets and return policies from your catalog, then recommends based on how the shopper says they’ll use it - not a one-size pitch.
“I’m between sizes on this jacket - what do most people do?”
The agent references size charts and your exchange window, suggests the safer size for their fit preference, and offers to hold the cart while they decide.
“I’m driving - can you just tell me your best running shoe for flat feet?”
Hands-free voice on phone or widget - no scrolling required. The shopper hears two in-stock picks and can ask a follow-up without starting over.
Need the product-capability view for high-intent browse sessions and specialist comparisons? See High-Intent Sales Assist in Features - this solutions page focuses on discovery outcomes and shopper journeys, not outbound recovery or policy automation.
Connect WooCommerce or Shopify, ground your agent in live catalog data, and turn natural questions into recommendations shoppers can act on immediately.