powered by Google Cloud Vertex AI Search for Retail
Provide your customers with unmatched search experiences that delight and improve brand loyalty! State-of-the-art Google trained advanced Machine Learning (ML) and Artificial Intelligence (AI) models combined with GroupBy's proven merchandising platform help to provide fast, high-quality search results that improve conversion and increase customer engagement.
powered by Google Cloud Vertex AI Search for Retail
Recommendations AI draws on Google’s years of experience delivering recommended content across flagship properties such as Google Ads, Google Search, and YouTube. With advanced AI functionality and a platform that empowers merchandising teams, you can easily build high-quality personalized product recommendations without requiring a high level of expertise in machine learning. Simply integrate your data, configure and launch recommendations - it’s as easy as that!
Let our experts complete and normalize your product data without the manual labor. By running your data through our global taxonomy and leveraging machine learning intelligence we are able to deliver an optimized product attribute set purposefully built at the scale, speed, and quality that retailers and wholesalers demand. Increasing the number of attributes and aligning them to your shopper’s search intent leads to the most relevant search experience for your customers and higher revenues for you.
Bring targeted products right to a customer’s fingertips with impactful customer campaigns that drive desired outcomes for key business objectives. Empower your merchandising teams and reduce manual curation and configuration with AI-powered Search and Recommendations. Further refine and customize strategies with merchandising controls designed for business users to easily build targeted campaigns and measure their performance.
GroupBy’s analytics and reporting dashboards, designed for merchandisers and business users, enable teams to make nimble and strategic business decisions based on real-time data. Measure omnichannel performance by connecting how customers shop in-store to their customer profile and track how merchandising strategies and campaigns along with browse, search, and recommendations are performing against KPIs.