Constructor

Constructor is an AI-native commerce discovery platform for retailers and B2B ecommerce teams. It combines shopper-facing search, recommendations, and conversational agents with merchant controls and measurement. It is most compelling for organizations with broad catalogs and complex discovery programs; buyers wanting transparent, self-serve pricing should look elsewhere.

Overview

Founded in 2015, Constructor runs as a cloud service across web, iOS, Android, and API integrations. Its Commerce Reasoning Engine uses clickstream plus shopper and market data to personalize discovery across touchpoints in real time. That enterprise orientation gives retailers a broad foundation for search and merchandising, but also implies a substantial implementation and commercial discussion rather than an instant subscription.

Key features

The suite covers ecommerce search, autosuggest, browse, recommendations, collections, quizzes, and retail media. Hybrid, vector, and faceted search support different catalog and query strategies. Zero-result reporting highlights failed searches, while search-conversion and result-click analytics help teams connect discovery behavior with commercial outcomes. This combination is valuable when search performance and merchandising decisions need to be managed together; it is excessive for a store seeking only a basic search box.

Natural-language discovery is handled by the AI Shopping Agent, which guides shoppers toward products, and the Product Insights Agent, which answers personalized product questions. The Shopping Agent is purpose-built for enterprise ecommerce, making it a better fit for retailers able to support an advanced discovery operation than for small merchants wanting a lightweight conversational widget.

On the merchant side, the Merchant Intelligence Agent and Merchandiser Controls provide insights, dashboards, reports, controls, and experiments. Retailers can use these tools to investigate behavior and adjust discovery rather than relying solely on algorithmic defaults. B2B capabilities include account-segmented pricing and availability, personalization, and discovery across large catalogs.

Catalogs can arrive through platform connectors, scheduled JSON, JSONL, or CSV feeds, or item-by-item REST updates. The REST API supports product data, result retrieval, and settings such as synonyms, redirects, and searchandising. Browser JavaScript, server-side, Swift, and Kotlin libraries support result retrieval, behavioral events, and catalog or configuration updates. An integration team helps configure accounts and indexes, map data, review integrations, and test results with business and merchandising teams, which is useful for complex deployments but adds a services dependency.

Pricing

Constructor uses custom enterprise pricing. The site directs prospects to book a demo, so there is no published price or self-serve tier to compare. This arrangement can accommodate a retailer's catalog, traffic, and integration requirements, but it makes budgeting and rapid evaluation harder. There is no free plan or public trial information to support a low-commitment start.

Platforms

Constructor supports web, iOS, Android, and API use. Its cloud deployment and REST query interface suit teams integrating discovery into an existing commerce stack. Listed technology partners include Akeneo, Alokai, BigCommerce, commercetools, Contentful, Contentstack, Salesforce Commerce Cloud, Shopify, and VTEX.

Security controls include multi-factor authentication, device trust, role-based access management, and regular external penetration tests. Constructor says its service is independently audited under SOC 2 Type 2 and ISO 27001, with reports shared under NDA. Anonymous IDs, truncated IP addresses, and hashed identifiers are used to reduce links to personally identifiable information.

Who it's for

Constructor is aimed at retailers, enterprise ecommerce teams, and B2B businesses with large or segmented catalogs. It fits organizations that need search, personalization, recommendations, AI shopping assistance, merchandising controls, and analytics in one program, especially when a dedicated integration team is welcome. Smaller shops, teams with simple catalogs, and buyers who require published prices are less likely to benefit.

Pros and cons

Pros

• Broad discovery suite: Search, browse, recommendations, collections, quizzes, retail media, and agents cover more of the shopper journey than a narrow search product.
• Actionable measurement: Zero-result reporting, conversion tracking, click analytics, dashboards, and experiments connect discovery changes to evidence.
• Enterprise integration depth: Multiple feed methods, REST controls, SDKs, partners, and implementation support accommodate complex stacks.
• B2B support: Segmented pricing and availability address requirements that consumer-focused discovery tools may not handle.

Cons

• Opaque cost: Custom pricing and demo-led sales prevent straightforward comparison or self-serve adoption.
• Enterprise-weighted scope: The platform may impose more capability and implementation work than smaller retailers need.
• AI positioning is specialized: The Shopping Agent is designed for enterprise ecommerce, limiting its relevance as a lightweight add-on.

Alternatives

Choose Recombee when recommendation infrastructure with a permanent free tier is more important: its free plan allows fewer than 100,000 interactions and recommendation requests per month, fewer than 20,000 active users, and fewer than 20,000 catalog items.

Personyze is a better starting point for campaign personalization with a free tier capped at 5,000 pageviews, one domain, three active campaigns, and eight AI tasks per month.

Pick Wiser AI if order-based pricing and a free allowance of up to 50 orders suit your operation. Alterable offers a free, rule-based engagement plan for up to 10,000 impressions per month and up to 10 locations. Bloomreach Content, SocialHub.AI Recommendation Engine, and DYMATRIX Web Analytics are paid alternatives. Dynamic Yield is another paid option with sales-led pricing.

For adjacent categories, browse Email Personalization Software, Search Analytics Software, or Search Databases.

Verdict

Constructor is a strong choice for enterprise retailers and B2B teams that need personalized, measurable discovery across large catalogs and channels. Its main reason to choose it is the combination of advanced search, AI agents, merchant experimentation, and integration support. Look elsewhere if you need a transparent price, a free trial, or a smaller and simpler search deployment.