Constructor

Overview

Constructor is a commerce discovery platform for retailers, including B2B teams with large catalogs. It is strongest for organizations that want search, personalization, and merchant controls in one system; the enterprise orientation and demo-led buying process make it a poor fit for teams seeking a quick, self-serve purchase.

Key features

The suite covers ecommerce search, autosuggest, browse, recommendations, collections, quizzes, and retail media. Hybrid and vector search, faceted navigation, and zero-result reporting give teams ways to improve how shoppers find products. Search-conversion tracking and result-click analytics help assess engagement. This breadth makes sense when discovery is part of a wider merchandising program, but may be excessive for a retailer that only needs a focused search tool.

Constructor's Commerce Reasoning Engine uses clickstream and other shopper and market data to personalize discovery across touchpoints in real time. Its AI Shopping Agent guides shoppers with natural-language queries and product recommendations, while the Product Insights Agent handles personalized product questions. These tools are aimed at enterprise ecommerce, so they are better suited to retailers with substantial discovery operations than to smaller stores looking for a lightweight add-on.

Merchant Intelligence Agent and Merchandiser Controls bring analytics, dashboards, reports, controls, and experiments into the same product suite. That can help merchandising teams act on discovery performance without treating search as a standalone technical function. B2B tools support account-segmented pricing and availability, personalization, and discovery across large catalogs, a relevant distinction for business sellers with varied customer accounts.

Catalogs can be supplied through platform connectors, scheduled JSON, JSONL, or CSV feeds, or item-by-item REST API updates. The REST API supports product data, result retrieval, and settings such as synonyms, redirects, and searchandising; browser and server-side client libraries support multiple languages, with JavaScript, Swift, and Kotlin among the documented options. Constructor's integration team helps configure accounts and indexes, map data, review integrations, and test results with business and merchandising teams. That support is useful for a complex rollout, though it does not turn the product into a self-service deployment.

Constructor says its service is independently audited under SOC 2 Type 2 and ISO 27001, with reports available under NDA. It describes controls including multi-factor authentication, device trust, role-based access, and regular external penetration tests. Its privacy measures include anonymous IDs, IP address truncation, and hashed identifiers to reduce links to personally identifiable information.

Pricing

Constructor uses paid, custom enterprise pricing. It does not publish a plan price; prospective customers are directed to book a demo to discuss the platform. That approach is more appropriate for retailers evaluating a broad enterprise deployment than for smaller teams that need to compare costs and start without a sales conversation.

Platforms

Constructor supports web, iOS, Android, and API access. Its cloud deployment and REST query interface suit teams integrating discovery into ecommerce experiences across web and mobile, while client libraries provide additional implementation paths.

Who it's for

Constructor is best suited to retailers with large or complex catalogs, dedicated merchandising teams, and a need to connect search, personalization, and analytics. Its account-segmented B2B capabilities make it relevant to business ecommerce as well. Smaller shops or buyers who want a narrow, low-cost recommendation tool may find the enterprise scope and custom sales process disproportionate.

Pros and cons

• Pro: Search, recommendations, retail media, collections, and AI shopping agents sit alongside merchant controls, reducing the need to treat discovery and merchandising as separate initiatives.
• Pro: B2B account-level pricing and availability address catalog and personalization needs that general retail search may not cover.
• Pro: Multiple catalog ingestion methods and integration-team support provide options for organizations with established data and commerce systems.
• Con: Custom pricing and a demo-led process make cost comparison and self-serve adoption difficult.
• Con: The enterprise focus and broad toolset may be more than smaller retailers need when they are looking for one specific discovery capability.

Alternatives

Recombee is worth considering when a recommendation-focused option with a free tier is a better fit: its free plan caps usage at fewer than 100,000 interactions and recommendation requests per month, fewer than 20,000 active users per month, and fewer than 20,000 catalog items.

Personyze offers a free plan with 5,000 pageviews, one domain, three active campaigns, eight AI tasks a month, and email support. It is a more accessible starting point for teams that can work within those limits.

Alterable has a free Engage plan with limits including 10,000 impressions per month and local maps for up to 10 locations, making it an option to examine when those constraints fit the use case.

Wiser AI has a free plan for up to 50 orders and a $9 a month tier for 51–100 orders. It may suit buyers whose needs align with those order-based tiers.

Dynamic Yield is another paid platform to compare for teams considering an enterprise alternative.

Athos Commerce Personalization offers a standalone annual Onsite Discovery plan with search, merchandising, and personalization, plus optional AI modules; consider it when that narrower scope matches the requirement.

DYMATRIX Web Analytics is another paid option to compare.

SocialHub.AI Recommendation Engine is another paid option to compare.

For adjacent categories, see Email Personalization Software, Search Analytics Software, and Search Databases.

Verdict

Choose Constructor if you are a retailer or B2B ecommerce operator that needs broad product discovery, personalization, and merchandising controls in one cloud platform. Its combination of search, analytics, agent features, and integration support is the central reason to consider it. Look elsewhere if you need transparent pricing, a fast self-serve start, or only a small, focused tool.