Constructor

AI-native product search and discovery with real-time personalization.

by Constructor · Product Discovery

Executive Summary

AI-native product search and discovery with real-time personalization.

Use Cases

  • AI-powered product search for e-commerce websites.
  • Real-time personalized product recommendations for individual users.
  • Intelligent product ranking and merchandising for category and browse pages.
  • Enhanced product discovery through autocomplete, visual search, and content search.
  • Optimizing product relevance and conversions based on behavioral data.

Features

Intelligence

  • AI-Powered Search: Delivers highly relevant search results optimized by AI and real-time behavioral data.
  • Real-time Personalization: Personalizes product discovery across search, browse, and recommendations based on individual user behavior.
  • Intelligent Product Ranking: Dynamically ranks products on category pages using customer-specific data like pricing, purchase history, and availability.
  • Visual Search: Enables users to search for products using images, particularly useful for fashion and visual-heavy categories.
  • Autocomplete & Content Search: Provides predictive search suggestions and allows searching across various content types for comprehensive discovery.

Technical Specifications

Architecture
API-first, headless, composable, and platform-agnostic architecture designed for easy integration with existing technology stacks.
Deployment
SaaS
API Available
Yes

AI/ML Stack

  • Machine Learning
  • Behavioral AI
  • Personalization Algorithms

Integrations

  • Salesforce Commerce Cloud

Security & Compliance

Certifications: SOC 2 Type 2, ISO 27001

Pricing

Starting Price
Contact sales
Target Customer
Enterprise

About Constructor

Constructor is an AI-powered search and product discovery platform designed exclusively for commerce, helping e-commerce companies improve their search, agentic, and general discovery experiences to drive conversions.

Founded: 2015 · Employees: 1000+ · Private