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Smarter search · Better recommendations

AI features that help shoppers
find and buy.

Search that understands natural questions, recommendations that fit each visitor and AI-assisted product content, reviewed by people, for WooCommerce, Shopify and Laravel stores.

  • Search that understands questions
  • Product recommendations
  • AI-drafted product descriptions
  • Shopping assistant chat
  • Personalised merchandising
The basics

What is AI for e-commerce?

AI for e-commerce uses your product catalogue and shopping data to help customers find and choose products faster: smarter search, personalised recommendations, AI shopping assistants and better product content.

Shoppers expect stores to understand what they want. Even small stores can now add AI features that used to need a large data team, and measure the effect on conversion and order value.

Written by the Web3matrix team · Last updated: 28 October 2026

The search problem

Most store searches let shoppers down.

56%

of e-commerce sites fail to adequately support users' search needs

Benchmark of 170+ sites and apps with 10,000+ performance ratings.

Source: Baymard Institute, e-commerce search query types (updated 29 Apr 2026)

Share of sites with issues, by search type (%)

Non-product ("returns policy")66%
Abbreviation & symbol54%
Compatibility44%
Use case ("for running")43%
Feature39%
Symptom37%
Product type20%
Exact12%
Try it

Keyword search vs AI-assisted search.

Basic keyword search
    AI-assisted search

      Simplified demo on a 10-product sample catalogue. Real AI search uses your catalogue, synonyms and product data.

      Features

      What we add to your store.

      01

      AI-assisted search

      Understands use cases, synonyms and price limits.

      02

      Recommendations

      Related and complementary products per visitor.

      03

      Product descriptions

      Drafted from your data, edited by people.

      04

      Shopping assistant

      Answers size, fit, stock and delivery questions.

      05

      Merchandising

      Highlight the right products for each audience.

      06

      Analytics

      See what shoppers search for and can't find.

      Platforms

      Works with your store.

      Responsible AI

      Safe by design.

      Grounded in your content

      Answers come from pages and documents you approve.

      People stay in control

      Clear hand-off and approval steps.

      Labelled & transparent

      AI answers are labelled and link to sources.

      Costs explained up front

      Running costs agreed before launch.

      By the numbers

      AI for e-commerce in numbers.

      71%

      of consumers expect companies to deliver personalised interactions.

      Source: McKinsey, 2021
      76%

      of consumers get frustrated when personalisation does not happen.

      Source: McKinsey, 2021
      10–15%

      typical revenue lift from personalisation done well.

      Source: McKinsey, 2021
      AI features

      AI features for online stores, compared.

      FeatureWhat it doesTypical benefitEffort
      Smart searchUnderstands typos, synonyms and natural questionsFewer “no results”, faster findsLow to medium
      Product recommendationsSuggests related, complementary or popular itemsHigher average order valueLow to medium
      AI shopping assistantAnswers product questions in chat from your catalogueMore confident buyers, fewer support emailsMedium
      AI product descriptionsDrafts consistent, SEO-friendly copy for reviewFaster catalogue updatesLow
      Review summariesSummarises what buyers like and dislikeQuicker decisionsLow
      Personalised email and offersTailors messages to browsing and purchase historyBetter repeat salesMedium

      What you need to get started

      • A clean product catalogue with good titles and attributes
      • Analytics to measure search, clicks and orders
      • A store platform such as Shopify or WooCommerce
      • Clear goals: conversion, order value or support time

      How we measure results

      • Search exits and “no results” rate
      • Click-through on recommendations
      • Conversion rate and average order value
      • Support tickets answered by the assistant
      • A/B tests against the store without AI

      Part of our E-commerce solutions services.

      Questions? You're covered.

      AI e-commerce FAQs.

      Still unsure? Email info@web3matrix.com or message us on WhatsApp.

      Which platforms does this work with?
      We add AI search and recommendations to WooCommerce, Shopify and custom Laravel stores.
      Will AI write my product descriptions?
      AI can draft descriptions from your product data; a person reviews and edits them before they go live.
      Does AI search replace normal filters?
      No. It works alongside categories and filters, helping shoppers who type natural questions.
      What does it cost to run?
      AI features have a monthly running cost based on usage. We estimate it before you decide.
      Does AI for e-commerce work with Shopify and WooCommerce?
      Yes. We add AI features to Shopify, WooCommerce and custom stores, using apps where they fit and custom integrations where they do not.
      Do I need a lot of data for AI recommendations?
      No. Recommendations can start from your catalogue and product attributes, then improve as more browsing and order data comes in.
      How much does AI for e-commerce cost to run?
      Costs depend on traffic and the features you choose. We estimate usage fees before you commit and set spending limits.
      Keep exploring

      Related services and industries we serve.