Today, GroupBy, a pioneering force in SaaS-based B2C and B2B eCommerce search product discovery technology, proudly announces its designation as a Challenger in the 2024 Gartner® Magic Quadrant™ for Search and Product Discovery. This recognition underscores GroupBy’s commitment to revolutionizing the search and product discovery landscape for online retailers, wholesalers, and marketplaces worldwide by leveraging its groundbreaking Search and Product Discovery Platform, powered by Google Cloud Vertex AI Search for Retail. This innovative platform serves as a vital link between consumers and merchants, enhancing the digital shopping experience.
Roland Gossage, CEO of GroupBy, expressed pride in being named a Challenger in the inaugural Gartner Magic Quadrant for Search and Product Discovery. He emphasized the dedication of the GroupBy team to innovating the search and product discovery journey, coupled with the development of a robust feature set. Gossage highlighted the shortcomings of legacy search engines, which rely on extensive human intervention to deliver suboptimal search results. In contrast, GroupBy’s AI-first approach has significantly enhanced search performance while relieving strain on merchandising teams. Gossage reiterated the company’s commitment to collaborating with clients to shape a product roadmap that addresses current needs and anticipates future trends in eCommerce search and product discovery.
GroupBy’s comprehensive search and product discovery solution encompasses Data Enrichment, Search, Recommendations, Merchandising, and Analytics and Reporting, providing eCommerce merchants with a suite of tools to elevate the digital customer experience. Amidst a competitive landscape, GroupBy distinguishes itself through five key differentiators: its exclusive utilization of Google Cloud’s Vertex AI Search for Retail, transformation of merchandising processes from rule-based to revenue-generating, exceptional B2B functionality, extensive industry and internationalization capabilities, and data enrichment services.
GroupBy’s platform stands out as the sole solution fully leveraging Google Cloud’s Vertex AI Search for Retail, setting it apart from competitors. Unlike traditional AI search applications that layer AI atop legacy keyword-matching technology, GroupBy’s platform is entirely powered by Google’s advanced AI models, trained on a vast dataset of 1.8 trillion events and updated with 85 billion new events daily. This deep integration enables GroupBy’s customers to benefit from ongoing AI advancements, delivering hyper-personalized, revenue-optimized search results at scale.
Furthermore, GroupBy’s AI-driven approach transcends conventional rule-based merchandising, empowering merchandising teams to focus on strategic initiatives while enhancing productivity by over 60%. The platform’s prowess in B2B eCommerce search is evidenced by its adept handling of complex queries and its support for multilingual search in 72 languages, facilitating seamless global operations for clients.
GroupBy’s Enrich product addresses the foundational issue of search quality by augmenting, correcting, and normalizing product data, thereby enhancing shopper experience and key website metrics. By combining AI optimization with manual control, GroupBy facilitates the transition from rule-based to rule-free search and merchandising, leading to tangible improvements in revenue and key website metrics.
In conclusion, GroupBy’s inclusion as a Challenger in the Gartner Magic Quadrant for Search and Product Discovery underscores its leadership in driving innovation and excellence in eCommerce search and product discovery. Through its partnership with Google Cloud and relentless commitment to advancing AI-driven solutions, GroupBy continues to empower eCommerce companies to deliver superior digital experiences and drive revenue growth.
For further details, refer to GroupBy’s Ultimate Buyer’s Guide to eCommerce Search & Product Discovery.
[Gartner, Magic Quadrant for Search and Product Discovery, Mike Lowndes, Aditya Vasudevan, Sandy Shen, Noam Dorros, 13 May 2024.]
[Note: Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates, used under permission. Gartner does not endorse any vendor, product, or service depicted in its research publications.]
