Constructor vs SocialHub.AI Recommendation Engine
Constructor
constructor.comSocialHub.AI Recommendation Engine
socialhub.aiSide by side
| Figure | Constructor | SocialHub.AI Recommendation Engine |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Email Personalization Software | 8.2 (#7) | 7.0 (#19) |
| Audience | Constructor says its product search and discovery solution is built for retailers, with dedicated solutions for B2B ecommerce and several retail sectors. | The company describes its platform as an Agentic Retention Loop for enterprise retail. |
| Intended customers | The AI Shopping Agent is described as purpose-built for enterprise ecommerce. | SocialHub.AI describes its platform as serving enterprise retailers and says it serves 50 enterprise brands across 12 countries. |
| Personalization | Its Commerce Reasoning Engine uses website clickstream and other shopper and market data to personalize discovery across touchpoints in real time. | Known members receive recommendations based on their product and category affinity; new or anonymous visitors get trending and popular items. |
Plans
In their own words
Constructor
Constructor is a cloud platform for ecommerce search and product discovery, founded in 2015. It uses shopper behavior, context and intent to personalize discovery across search, autosuggest, browse, recommendations, collections, quizzes and retail media. The AI Shopping Agent guides shoppers through natural-language product searches, while the Product Insights Agent answers personalized product questions. Merchant Intelligence Agent and Merchandiser Controls provide merchandising insights, dashboards, reports, controls and experiments. B2B capabilities cover account-segmented pricing and availability, personalization and discovery across large catalogs. Search options include hybrid, vector and faceted search, with zero-result reporting, search conversion tracking and result click analytics. Catalogs can be supplied through connectors, scheduled JSON, JSONL or CSV feeds, or REST API updates. APIs and browser or server-side client libraries support retrieving results, sending behavioral events and updating data or configurations; named client libraries include JavaScript, Swift and Kotlin. Constructor says it reduces personal data exposure using anonymous IDs, IP truncation and hashed identifiers. Pricing is not published; prospective customers are directed to book a demo.
SocialHub.AI Recommendation Engine
SocialHub.AI Recommendation Engine personalizes retail product picks from order history, product affinities, and product pairings. One engine can supply campaign emails, websites or online stores, and API calls for apps or other channels. The email Recommendations block calculates selections at send time, uses live catalog names, images, prices, and links, and excludes products already purchased by that member. Members without purchase history see no email block rather than invented suggestions; new or anonymous visitors can receive trending and popular items. Product-pair patterns are rebuilt nightly from order data, with cross-sell suggestions requiring multiple shared buyers and orders. Unsupported suggestions are omitted. The built-in engine is the default, though an external recommender can replace it. Browser setup uses a public key, allowed domains, and a script snippet. Pricing is available on request; integrations include Shopify, Amazon, Salesforce, and others.