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Enterprise Layer Intelligence
Categories/Ecommerce/Constructor
Constructor

Constructor

Founded 2015

Personalize search results and product recommendations for online retail stores

Pricing model

Demo

You can use Constructor to display relevant search results and product recommendations across your online store. The system analyzes shopper behavior, search queries, and catalog data to rank products dynamically on search pages and category listings. Merchandisers can set custom rules, run tests, and enrich catalog attributes with automated generators. It also provides conversational shopping assistants that answer customer questions directly on product pages. By connecting onsite search, browse pages, and email recommendations, it guides shoppers to find and purchase the exact items they want.

What Constructor does

Configure product search ranking rulesSet up dynamic product recommendation carouselsEnrich missing product catalog attributesRun A/B tests on category page layoutsManage sponsored product ad campaignsReview search analytics and zero-result queriesDeploy conversational shopping assistants on product pagesDisplays personalized product search and autocomplete results based on shopper behaviorGenerates conversational AI shopping assistants to answer buyer questionsEnriches catalog attributes automatically to improve product discoverabilityProvides merchandising controls and dashboards to adjust product rankings manuallyDelivers targeted product recommendations across category pages and emailSupports retail media networks with sponsored product placementsBuilds dynamic and curated collection pages for promotional campaigns

Pricing breakdown

Pricing model: Book a demo

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Constructor, ecommerce search, product discovery, product recommendations, search autocomplete, category merchandising, shopping agents, retail media, attribute enrichment, product search, catalog ranking, ecommerce merchandising, faceted search, shopper intent