Constructor
AI-native product discovery platform with personalized search, recommendations, and browse for e-commerce.
What it does
Constructor is an AI-native product discovery platform - replacing e-commerce search, browse, and recommendation systems with AI models that learn from shopper behavior to deliver personalized, revenue-optimized product discovery experiences. Its AI capabilities include semantic search that understands shopper intent beyond keyword matching, behavioral personalization that adapts search results and recommendations per individual shopper in real time, AI-powered merchandising rules that incorporate business logic (margin, inventory, promotion) alongside relevance, and A/B testing infrastructure for optimizing discovery experiences. Constructor's defining claim is that its AI is trained to maximize business outcomes - revenue and conversion - not just relevance, making it directly revenue-accountable.
Why AI-NATIVE
Constructor is AI-native - personalized product discovery through behavioral machine learning models optimizing for business outcomes rather than pure relevance is the core product architecture, designed from the ground up as AI.
Best for
Mid-market e-commerce companies use Constructor to upgrade their site search and recommendations - AI personalization improving product discovery conversion versus rule-based merchandising and keyword search.
Large retailers use Constructor for enterprise AI product discovery - behavioral personalization at scale, AI merchandising across large catalogs, and outcome-based optimization tied directly to revenue metrics.
Limitations
Constructor's behavioral AI models learn from shopper interactions — small sites with low traffic see limited personalization benefit until sufficient behavioral data has been collected.
Constructor is positioned as a premium AI product discovery platform — e-commerce sites without the traffic volume to justify the investment should evaluate Algolia or native platform search first.
Constructor is an API-based platform — replacing existing search and recommendation infrastructure requires engineering work and testing before production deployment.
Alternatives by segment
| If you need… | Consider instead |
|---|---|
| Search API for e-commerce | Algolia |
| Commerce experience platform | Bloomreach |
| Personalization and CDP | Dynamic Yield |
Constructor pricing not published. Mid-market contracts based on monthly sessions and catalog size. Enterprise pricing negotiated. Annual contracts. Demo required.
