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E-Commerce

AI for Ecommerce

Add AI to Your Online Store.Every Shopper Guided, Every Return Explained.

This is how online stores add AI: a Gnosari agent that recommends the right product, answers sizing and fit in each shopper's own words, collects post-purchase feedback, and captures why customers return - one agent across every touchpoint, live in an afternoon with no code.

$850B
of merchandise returned by US shoppers in 2025 - 19.3% of all online orders
24/7
Lead capture
5 min
Setup time
Free to start
5 min setup
No code

An AI shopping assistant for ecommerce embeds a Gnosari conversational agent across the storefront - product pages, size guides, checkout, and returns. Instead of a fixed quiz flowchart, it reads what each shopper types, recommends the right SKU and size, collects post-purchase feedback, and hands you structured zero-party data in Shopify and the tools you already run.

Getting Started

5 Ways to Use AI in Your Online Store

From product finder to returns intake, here is what one Gnosari agent does across your store - each running live from the same conversation.

  • Replace rigid quiz funnels with a conversation that adapts. When a shopper says "I want something for my teenage daughter who has sensitive skin but hates thick creams," Gnosari asks clarifying questions instead of forcing the next branch of a flowchart.

    Captures Skin Type Texture Preference Primary Concern Budget Recommendation

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  • Go beyond height and weight charts. Gnosari asks about preferred fit, prior experience with your brand, fabric preferences, and intended use - the data static size recommenders never collect, and the data that keeps the wrong size out of the basket.

    Captures Product Fit Preference Body Notes Prior Order Size Rec

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  • Replace the NPS email widget with a conversational check-in that captures what actually happened - not just a 1-to-10 rating. Shoppers share context, product issues, and attribution when the format feels like a dialogue instead of a survey.

    Captures Product Fit Feedback Quality Exchange Intent

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  • A dropdown captures "doesn't fit". It never captures "I ordered a Medium and it fits like a Small - I'd take a Large in the same style." Gnosari collects the nuance that lets you offer the right exchange before a refund goes out, and spots defect patterns while they are still cheap to fix.

    Captures Order Return Reason Fit Detail Exchange Preference Resolution

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  • Made-to-order and personalized products die in email threads. Gnosari walks the buyer through the full specification, checks the details production actually needs, and hands over a complete brief instead of a half-answered form that starts a week of clarification.

    Captures Product Customization Specification Deadline Contact

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Live demo agent

A real Gnosari agent. Ask it anything.

Live

A real Gnosari agent - ask it anything.

Comparison

Why a Conversation Beats a Quiz

How AI conversations compare to the product quizzes, survey apps, and returns portals ecommerce brands run today.

Unexpected shopper input
Answer does not match an option, shopper drops off
Quiz follows a fixed branch regardless
AI conversations read the answer and follow up on it
Size and fit
A static chart and a tape measure
Recommender asks height and weight only
Asks fit preference, build, and past orders before advising
Returns
Dropdown reason code, refund issued
Portal logs the code, cannot probe further
Surfaces the real reason and offers the right exchange first
Data you end up with
Whatever fit the boxes
Clicks logged as-is, no nuance
Structured zero-party data extracted from real language
How it works

How to Add AI to Your Online Store

No code and no theme rebuild - paste one snippet and your AI shopping assistant is live in an afternoon, turning every conversation into structured zero-party data.

  1. 1Set it up

    Connect your catalog

    Point the assistant at your product data - titles, variants, specs, sizing and prices - so it recommends real, in-stock products and never invents one.

  2. 2Make it yours

    Decide what you want to learn

    Pick the fields worth capturing - fit preference, skin or body profile, use case, budget - so guided selling produces the zero-party data behind every conversation.

  3. 3Share it

    Embed it where shoppers hesitate

    Drop the conversational product finder on product pages, the size guide or the returns page with a single snippet - no developer.

  4. 4Get results

    Send the data to your stack

    Every conversation becomes a structured record of preferences, size logic and return reasons.

    Structured zero-party data lands in Shopify, Klaviyo and your returns tool - ready to segment and act on.

Put the Assistant Everywhere Shoppers Are

The same agent works as a product-page bubble, a full-screen finder, a private link, or a QR code on packaging. Pick the surface - the assistant stays the same.

Website chat bubble

A floating bubble in the corner of your site. Least intrusive - clients click when they are ready, on any page.

Full-screen conversation

Embed the whole conversation as a page or an iframe - perfect for a dedicated "Get started" or onboarding link.

Inline on any page

Drop the agent straight into a landing page or blog post, right alongside your content.

Private link

Send one client a unique link - no login, works on any device. Answers come back tagged to that client.

QR code

Put a QR on a business card or seminar handout - a scan opens the agent on the client's phone.

Printed poster

Print an "Add AI to your business" poster with a tracked QR for your lobby or an event booth.

Integrations

Connects to Your E-Commerce & Retail Stack

Gnosari integrates with the tools you already use, powered by MCP.

Shopify

E-Commerce Platform

Connect your product catalog so the assistant recommends real, in-stock variants. Push shopper preference data back to Shopify customer profiles.

Klaviyo

Email Marketing

Feed zero-party preference data into Klaviyo segments for personalized flows that reference what the shopper actually told you.

Triple Whale

Attribution

Enrich attribution with conversational post-purchase answers - capture "how did you hear about us" with the context behind it.

Loop Returns

Returns Management

Hand Loop a return that already carries the real reason and a suggested exchange, instead of a bare dropdown code.

Yotpo

Reviews & UGC

Route conversational feedback into Yotpo review requests, and catch product issues before they land in a public review.

Pricing

One Plan Instead of Four Apps

What an ecommerce stack typically stitches together - versus one Gnosari agent that covers the same ground.

Product quiz app (Octane AI)

$50-$200/mo

Post-purchase surveys (KnoCommerce)

$19-$99+/mo

Reviews & surveys (Okendo)

$19-$299/mo

Form builder (Typeform)

$25-$83/mo

Best value
GnosariFrom $0

One agent handles product questions, guided selling, size and fit capture, post-purchase feedback and return intake - starting on the free plan, with no per-quiz, per-response or per-seat fees.

Why Trust Gnosari

Safe to Put in Front of Every Shopper

Security, privacy and accuracy you can put on a live product page.

No-code setup

Live in under 15 minutes from an ecommerce template - one snippet, no theme rebuild, no developer.

Never handles card data

The assistant never asks for or stores card numbers. Payment stays inside your store's existing PCI-compliant checkout.

Grounded in your catalog

Answers come from your own product data. If the catalog does not say it, the assistant does not claim it - no invented specs, stock or prices.

Shopper data, exportable

Every conversation becomes a structured record you own, with consent and export controls built in. Review your own regional data-protection obligations before you collect it.

Common Questions

Frequently Asked Questions

Everything you need to know about getting started. Can't find the answer you're looking for? Reach out to our team.

Still have questions?

Our team is here to help you get started.

An AI shopping assistant for ecommerce is a conversational agent on your store that does what a good sales associate does: answers product questions, asks what the shopper is actually trying to solve, and guides them to the right SKU and size. Gnosari adds the part most tools miss - every conversation is extracted into structured zero-party data you can use in Shopify, Klaviyo, and your returns tool, rather than a chat log nobody reads.

Explore More Industries

Related Industries

See how other industries use AI conversations to transform their data collection.

Give Every Shopper a Personal Shopper

Product questions answered from your catalog, the right size found before checkout, and the real reason behind every return - from today.

No coding required
Shopify integration
Never handles card data
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