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Verified July 24, 2026AI Product Discovery for E-commerce

Constructor.io AI

Constructor / constructor.io

AI product discovery platform for large e-commerce sites that personalises search results, product recommendations, and category browsing for individual shoppers based on purchase behaviour.

Pricing

Free

Free plan

No

Category

Marketing

Platforms

4

Free plan

No

API access

Yes

Open source

No

Platforms

4

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What is Constructor.io AI?

Constructor is an AI product discovery platform specialising in the search and browse experience on large e-commerce sites — personalising search results, autocomplete suggestions, category page product ordering, and recommendations for each individual shopper based on their behaviour and intent.

Search personalisation is Constructor's primary capability. When a shopper searches for 'running shoes', Constructor's AI ranks results differently for someone who has previously bought premium performance gear versus someone who typically buys sale items. The results show the products most likely to convert for that specific shopper rather than the same generic ranking for everyone.

The ranking models are trained on the retailer's own transaction data — clicks, add-to-carts, purchases — and continuously updated as new transactions occur. The model learns which products convert for which shopper types across the category, improving personalisation with each new data point.

Browse personalisation sorts category pages differently for each visitor based on the same behavioural signals — a product that is bestselling overall may rank lower for a shopper who has only ever bought from specific brands or price tiers.

AI-powered autocomplete surfaces personalised suggestions as shoppers type, showing relevant products and categories earlier in the search experience and reducing the path from intent to product page.

At enterprise scale, Constructor works with major retail clients including Sephora, Ulta, and Petco where search is a significant revenue driver and personalisation impacts are measurable at scale.

e-commercesearchpersonalisationaiproduct-discoveryretail
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How Constructor.io AI works

Constructor.io AI runs as ml platform software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios, and android, with API access for teams that want to embed it into their own products.

Video Guides

Watch Constructor.io AI in action

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Constructor.io AI.

01

Personalised search ranking

AI ranks search results differently for each individual shopper based on purchase history, browsing behaviour, and intent, rather than generic relevance ranking for all shoppers.

02

Self-learning transaction models

Continuously learns from the retailer's own click, add-to-cart, and purchase data to improve personalisation models without manual retraining.

03

Browse personalisation

Sorts category page product ordering for each individual visitor based on behavioural signals, showing the products most likely to convert for that specific shopper.

Personalised search ranking (individual shopper)Category page browse personalisationAI autocomplete and search suggestionsProduct recommendationsSelf-learning from transaction dataA/B testing frameworkSearchandising (manual merchandising rules)Analytics and search performanceAPI-first architectureNatural language understanding for search queries

Best use cases

E-commerce search personalisation
Category page AI merchandising
Retail product discovery
AI-driven search relevance
Large retail site personalisation

Who should use it

E-commerce directors
Digital merchandising teams
Search and discovery engineers
Retail CTOs
E-commerce product managers

Pros

  • Individual shopper personalisation trained on the retailer's own transaction data produces relevant-for-your-store results
  • Self-learning models improve continuously with each new transaction without manual retraining
  • API-first architecture integrates into any e-commerce platform without storefront limitations
  • Sephora, Ulta, and Petco references validate for major retail-scale deployments

Cons

  • Enterprise-only pricing — not accessible for small or mid-market e-commerce
  • Effectiveness requires sufficient transaction volume for personalisation models to train on
  • Implementation requires engineering resources for API integration and platform configuration

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Pricing Analysis

Is it worth the price?

Enterprise only. Custom pricing based on query volume. No public pricing. 30-day free trial.

Model

Enterprise

Starting price

Free

Free trial

Yes

Similar Tools

Tools like Constructor.io AI

Algolia is a strong competing search platform with personalisation features. Klevu provides AI search for mid-market e-commerce without Constructor's scale. Dynamic Yield provides broader personalisation beyond search. Elasticsearch provides search infrastructure without built-in personalisation.

Comparison

Constructor.io AI vs Nosto AI

A side-by-side look at the closest alternative in this category.

Constructor.io AI favicon

Constructor.io AI

Constructor

Nosto AI favicon

Nosto AI

Nosto

Overview
Rating
—
—
Category
Marketing
Marketing
Subcategory
AI Product Discovery for E-commerce
AI E-commerce Personalisation
Company
Constructor
Nosto
Status
Active
Active
Launch year
2020
2019
Tags
e-commercesearchpersonalisationaiproduct-discoveryretail
e-commercepersonalisationairecommendationsshopifyretail
Pricing
Starting price
FreeBest value
Free
Pricing model
Enterprise
Subscription
Free plan
No
No
Free trial
✓
✓
Pricing notes

Enterprise only. Custom pricing based on query volume. No public pricing. 30-day free trial.

No public pricing. Pricing based on revenue driven. Contact for pricing. 14-day free trial.

Capabilities
Best for
E-commerce search personalisationCategory page AI merchandisingRetail product discoveryAI-driven search relevanceLarge retail site personalisation
Mid-market e-commerce personalisationProduct recommendations at scaleE-commerce search personalisationSegmented content and promotionsRetail conversion optimisation
Target audience
E-commerce directorsDigital merchandising teamsSearch and discovery engineersRetail CTOsE-commerce product managers
E-commerce directorsDigital marketing teamsE-commerce managersShopify Plus merchantsGrowing online retailers
AI type
ML Platform
ML Platform
Modalities
Data
Data
Technical
Model provider
Constructor
Nosto
Model names
—
—
API available
✓
✕
Open source
✕
✕
Deployment
EnterpriseSaaS
SaaS
Platforms
WebiOSAndroidAPI
WebEmail
Integrations
Salesforce Commerce CloudAdobe CommerceShopify PlusSAP CommerceAPI
Shopify PlusMagentoBigCommerceKlaviyoEmarsysAPI
Team collaboration
✕
✕
Trust & security
Security

SOC 2 Type II. ISO 27001. GDPR compliant. CCPA compliant. Enterprise data handling agreements.

Review Nosto's data handling policy. Shopper behaviour data and personalisation decisions processed on Nosto's infrastructure. GDPR compliant.

Privacy notes

Review Constructor's data handling policy. Shopper behavioural data and transaction history processed on Constructor's infrastructure under enterprise agreements.

Review Nosto's privacy policy and GDPR compliance documentation. Shopper behaviour data collected for personalisation purposes — review cookie consent and privacy notice requirements.

Verdict
Pros
  • Individual shopper personalisation trained on the retailer's own transaction data produces relevant-for-your-store results
  • Self-learning models improve continuously with each new transaction without manual retraining
  • API-first architecture integrates into any e-commerce platform without storefront limitations
  • Sephora, Ulta, and Petco references validate for major retail-scale deployments
  • Performance-based pricing aligns cost with demonstrated revenue impact
  • Faster implementation than enterprise alternatives with pre-built platform integrations
  • Personalised search and content alongside product recommendations provides comprehensive site personalisation
  • Mid-market pricing positioning makes enterprise-level personalisation accessible
Cons
  • Enterprise-only pricing — not accessible for small or mid-market e-commerce
  • Effectiveness requires sufficient transaction volume for personalisation models to train on
  • Implementation requires engineering resources for API integration and platform configuration
  • Performance pricing requires Nosto attribution of revenue which may involve attribution methodology discussions
  • Less comprehensive than Dynamic Yield for large enterprise multi-channel personalisation
  • Pricing transparency requires direct sales engagement
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Constructor

Platforms

Web, iOS, Android, API

Deployment

Enterprise, SaaS

Integrations

Salesforce Commerce Cloud, Adobe Commerce, Shopify Plus, SAP Commerce, API

Team Collaboration

No

Launch Year

2020

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. ISO 27001. GDPR compliant. CCPA compliant. Enterprise data handling agreements.

Review Constructor's data handling policy. Shopper behavioural data and transaction history processed on Constructor's infrastructure under enterprise agreements.

Reviews

What users are saying

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FAQ

Common questions about Constructor.io AI

30-day free trial. Enterprise pricing — contact for pricing based on query volume.

Editorial Verdict

Should you use Constructor.io AI?

Constructor is the best AI product discovery platform for large e-commerce retailers where search and browse personalisation drives significant revenue, and where sufficient transaction data exists to train meaningful personalisation models.

Last verified July 24, 2026.

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