Constructor provides an AI‑native product discovery platform that ingests clickstream, catalog, and contextual data to deliver real‑time, personalized search, browse, and recommendation results for enterprise B2C and B2B retailers. The solution includes transformer‑based intent modeling, generative AI attribute enrichment, conversational shopping agents, and a merchant dashboard for analytics and rule‑based overrides, all via an API‑first, headless architecture.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
E‑commerce sites often rely on static keyword matching and manual merchandising, leading to irrelevant search results, low conversion rates, and missed revenue opportunities. Shoppers struggle to find products quickly across large catalogs, especially on mobile or in B2B contexts where pricing and availability vary by account. Maintaining accurate product attributes and personalized experiences requires extensive manual effort and fragmented tooling.
Solution
Constructor delivers an AI‑native product discovery platform that continuously ingests clickstream, catalog, and contextual data to generate real‑time, hyper‑personalized search, browse, and recommendation results. Advanced machine‑learning models—including transformers, large language models, and generative AI—interpret shopper intent and automatically re‑rank results to match each user’s context. Merchants retain full control through an intuitive dashboard that exposes attribution, performance metrics, and rule‑based overrides. The suite also includes conversational AI agents, automated attribute enrichment, and cross‑channel campaign tools, enabling a unified discovery experience across web, mobile, and in‑store touchpoints while driving measurable revenue lift.
Target Audience
The platform is designed for enterprise B2C and B2B retailers, digital commerce teams, and merchandisers who need scalable, data‑driven product discovery across multiple channels. It also serves technology partners integrating AI‑powered search and personalization into composable commerce stacks.
Features
- AI‑driven search & autosuggest that leverages real‑time shopper behavior and NLP to deliver intent‑aware results with sub‑second latency.
- Personalized browse pages that adapt category layouts and product ordering based on individual clickstream signals.
- Recommendation engine with nine configurable logic sets (e.g., complementary, bundle, best‑seller) that updates continuously from live user interactions.
- Dynamic collections that auto‑generate themed landing pages by learning from every search, click, and purchase.
- AI Shopping Agent and AI Product Insights Agent that provide conversational product discovery and instant answers on PDPs.
- Merchant Controls & Intelligence dashboard offering granular analytics, A/B testing, and manual merchandising overrides.
- Automated attribute enrichment using generative AI and machine‑vision to fill gaps in product data at scale.
- API‑first, headless architecture with native integrations to major commerce platforms, PIMs, and marketing stacks; 99.99 % uptime and compliance with GDPR/CCPA.