Constructor tops three Gartner search & discovery use cases

Constructor ranked first in three use cases in Gartner's Critical Capabilities for Search and Product Discovery report, making it the only vendor to top three of the five categories assessed.

Gartner evaluated 12 vendors, including Google, and ranked Constructor first for GenAI Product Discovery, Product Search and Discovery, and Multisite and Globalization. According to Constructor, this is the second consecutive year it has led three of the five use cases.

The rankings add to a recent run of industry recognition for Constructor in the eCommerce search and product discovery market. The company was also named a Leader in Gartner's Magic Quadrant for Search and Product Discovery, where it said it was placed furthest for Completeness of Vision and highest for Ability to Execute among the vendors assessed.

Search and product discovery software helps retailers guide shoppers through online catalogues, filter items, compare products, and decide what to buy. Gartner describes these systems as applications that augment digital commerce platforms and says organisations should look for products that support adaptive user interfaces and personalise the search experience around shopper intent.

Constructor focuses on eCommerce rather than broader web search. Its platform is used by retailers including Sephora, The Very Group, Monica Vinader, AMI Paris, and Target Australia. The company said it delivers more than 10,000 personalised shopping experiences each second.

Use cases

The three categories in which Constructor ranked first reflect different demands from online retailers. Product Search and Discovery covers the search and browsing functions consumers use to find items on retail websites. GenAI Product Discovery focuses on conversational and natural-language shopping journeys. Multisite and Globalization examines how systems support multiple brands, regional storefronts, and languages from a single platform.

Constructor said its system is built around a commerce reasoning engine trained on large volumes of eCommerce interactions to interpret shopper intent rather than relying only on keywords. It also offers shopper-facing tools called AI Shopping Agent and AI Product Insights Agent, which let consumers search in conversational language and ask product-specific questions before buying.

These tools are designed to move shoppers from general exploration to purchase decisions. Examples cited by Constructor include broad requests such as preparing for a first marathon, as well as narrower questions about whether a particular shoe suits overpronation.

Retailers with large, fragmented product ranges are another target market. Constructor said its software can manage catalogues with millions of stock keeping units and tailor search and discovery experiences across brands, countries, and languages through a single platform.

Broader recognition

Beyond Gartner's latest report, Constructor has been cited in several other pieces of industry research. These include Gartner Hype Cycle reports covering agentic AI and digital commerce, Gartner Peer Insights, Forrester Wave research on commerce search and product discovery, and an IDC MarketScape assessment focused on retail generative AI-driven product discovery and search tools.

Constructor is one of a growing number of suppliers competing to shape how AI is used in online shopping. Retailers are under pressure to improve conversion rates, reduce abandoned sessions, and make large product catalogues easier to navigate, particularly as consumers increasingly expect search functions to respond in natural language and provide more personalised recommendations.

Competition in the market has intensified as both specialist vendors and larger technology groups push AI-based search products. Gartner's inclusion of 12 vendors, including Google, underlines how crowded the sector has become and how central search and discovery tools are to digital commerce operations.

For merchants, the issue is not simply whether shoppers can find a product, but whether the path to purchase feels relevant enough to keep them engaged. Search results, recommendations, product detail guidance, and browse pages have become part of the same commercial system, particularly for retailers selling across multiple sites and regions.

Eli Finkelshteyn, Chief Executive Officer and Co-Founder of Constructor, commented on the Gartner results.

"In our view, these rankings reflect Constructor's commitment to applying AI to solve real challenges for our customers and their shoppers. As AI continues to transform eCommerce, we're focused on building technology at the cutting edge and helping invent the best-in-class discovery of the future. We've always built technology with the goal of helping retailers, brands, manufacturers, and distributors deliver the most personalized, intuitive and effective product discovery experiences available anywhere. We believe this recognition - together with our placement in the accompanying Magic Quadrant - underscores the strength of our platform today and our vision for what's next," said Finkelshteyn.