Constructor is an AI-powered product discovery and search platform built specifically for e-commerce retailers, optimizing search results, browse pages, and product recommendations to maximize conversion and revenue rather than just returning relevance matches. Unlike general-purpose search engines adapted for retail, Constructor uses proprietary AI trained on e-commerce behavior data — clicks, add-to-carts, purchases — to continuously optimize what shoppers see based on what is most likely to drive a transaction. It targets mid-market and enterprise retailers and has notable customers including Sephora, Petco, and Backcountry. Constructor differentiates through its revenue-optimization objective function — the platform is explicitly designed to improve commercial outcomes, not just search accuracy — and its e-commerce domain specificity.
Constructor
AI product discovery and search that drives e-commerce revenue.
Compliance
GDPR SOC 2
Key Features
- Revenue-optimized search: Returns search results ranked to maximize conversion and revenue rather than purely by textual relevance, using behavioral signals to continuously learn what drives purchases for each retailer’s specific catalog and customer base.
- AI-powered recommendations: Generates personalized product recommendations across the shopping experience — homepage, product detail pages, cart — based on individual shopper behavior and catalog relationships.
- Autosuggest and query understanding: Provides intelligent search suggestions and handles misspellings, synonyms, and natural language queries so shoppers find products even when their search terms don’t exactly match catalog terminology.
- Browse and category page optimization: Applies the same AI ranking logic to category and browse pages, not just search results, ensuring the full product discovery experience is optimized for conversion.
- A/B testing and experimentation: Provides built-in experimentation tooling so merchandising and product teams can test changes to search and recommendation logic and measure their revenue impact rigorously.
- Merchandising controls: Gives merchandising teams the ability to apply business rules — boosts, pins, filters — on top of AI rankings, preserving human control over promotions and strategic assortment decisions.
Use Cases
- For e-commerce retailers with large product catalogs: A specialty retailer with tens of thousands of SKUs deploys Constructor to ensure shoppers find the most relevant and commercially appropriate products quickly, reducing zero-result searches and improving the rate at which searches result in a purchase.
- For retailers replacing underperforming legacy search: An e-commerce company whose existing site search is returning irrelevant results and contributing to high bounce rates replaces it with Constructor, applying AI-driven ranking to immediately improve search quality and measurable conversion metrics.
- For merchandising teams managing seasonal and promotional priorities: A retailer’s merchandising team uses Constructor’s controls to combine AI-driven rankings with manual boosts for promoted products and seasonal priorities, without overriding the underlying optimization entirely.
Pricing MODELS
Enterprise
Pricing Summary
Constructor uses a custom enterprise pricing model. No self-serve or publicly listed prices are available — retailers contact the company for a quote based on catalog size, traffic volume, and feature requirements.
Company Size Fit
Enterprise Mid-market
Technical Snapshot
API Available
Yes
LLM Provider
Proprietary
Open Source
No
Deployment Options
Cloud Saas
Notable Customers
Sephora, Petco, Backcountry