Netcore Unbxd has been named a Leader in the 2026 Gartner Magic Quadrant for Search and Product Discovery. The ranking assesses vendors on ability to execute and completeness of vision.
The recognition comes as Netcore Unbxd reports double-digit customer and revenue growth in 2025 and expands further into EMEA and Latin America. It says demand is rising among retailers and digital commerce teams for search and product discovery tools that can operate across multiple sites, channels and regions.
Netcore Unbxd provides search and product discovery software for online retailers, helping shoppers find products across digital storefronts. Its offering includes core product search, generative discovery and support for B2B commerce. The company argues that brands want to reduce the number of separate tools used to manage these functions.
AI focus
A central part of its pitch is the use of agentic AI in commerce discovery. Netcore Unbxd says these functions are built into the platform rather than added as separate features, with the aim of supporting the buyer journey from search to purchase.
It links the Gartner ranking to that strategy, saying it reflects work to make AI usable in live retail environments with real product catalogues. The company also points to what it describes as stronger demand for more personalised discovery in online commerce.
"Agentic AI is exciting, but what matters to us is making it real, running in production, on actual catalogs, helping shoppers find what they need today. We believe our recognition in the 2026 Gartner Magic Quadrant for Search and Product Discovery reflects our focus on putting AI where it genuinely improves the shopping experience," said Javier Corral, Vice President of Product Strategy & Sales at Netcore Unbxd.
Global reach
Netcore Unbxd also highlighted its position in Gartner's Critical Capabilities report for the market. It says it scored 4.05 out of 5 in the Multisite and Globalization use case, which it believes reflects its readiness to support retailers operating across multiple countries, languages and storefronts.
That issue has become more important as enterprise and mid-market retailers expand internationally while trying to keep product discovery consistent across websites, apps and other commerce channels. Managing search across multiple markets often requires changes to language, local product catalogues and merchandising rules, making it more complex than running a single domestic storefront.
For suppliers in this market, the challenge is not just improving search relevance but also helping retailers manage the operational complexity of large catalogues and varied customer journeys. Vendors are increasingly trying to show they can support both direct-to-consumer and business purchasing models within a single system.
Netcore Unbxd says its portfolio is designed to support both direct and indirect commerce channels. That breadth, it argues, allows brands to deliver more consistent discovery experiences without relying on a fragmented stack of point products.
The Gartner Magic Quadrant rankings are closely watched by software buyers and investors because they can shape how vendors are perceived in competitive technology categories. A Leader designation can carry weight with retailers reviewing search and discovery suppliers, especially in a market where AI claims have multiplied and buyers are looking for evidence of live deployment and global operational support.
Competition in product discovery has intensified as retailers seek tools that can increase conversion, reduce abandonment and improve navigation across larger online assortments. At the same time, vendors are under pressure to prove that AI-led search functions can deliver measurable results rather than simply add another layer of complexity for commerce teams.
Against that backdrop, Netcore Unbxd is positioning itself around the operational use of AI, support for international retail environments and consolidation of commerce discovery functions. It says the latest ranking reflects that approach as digital commerce teams look for search systems that work across sites, apps and storefronts.