BloomReach

BloomReach powers the best commerce experiences. The BloomReach Personalization Platform processes data from a multitude of sources – browse behavior, natural language models, CRM data, crawling the web, etc. – to help every visitor find that perfect product. Bloomreach technology algorithmically understands people and products, matching this with demand and intent data from across the web. BloomReach customers benefit from collective learning across more than 20% of U.S. e-commerce traffic — over 150 million consumer interactions per day. Machine learning technology constantly improves the site experience, optimizes for revenue and personalizes at a 1-to-1 level. BloomReach Commerce Search optimizes site search returning the most relevant products and then ranking them according to performance and a shopper’s personal behavior. It prioritizes search results based on an individual shopper’s search behavior, browsing patterns and personal affinities. It modifies search results by boosting/burying products based on trends, predictions or upcoming promotions. Cross drive behavior personalizes using cross-device behavior and offline customer data, including in-store purchase history. Machine learning algorithms listen for trends outside of the organization and continuously improves the search results. Natural language processing capabilities help match products on your site to what consumers are searching for. The BloomReach Web Relevance Engine is a powerful machine-learning system that made the right products and services more visible to the right customers by surfacing relevant products and information that were once lost in the deep web. The result is a suite of marketing and merchandising applications that benefit the entire digital ecosystem. BloomReach’s tools expose high-quality content that provides a more relevant and personalized experience for consumers and more profit for the businesses serving them.

BloomReach