Constructor.io
Deploy product discovery that automatically learns customer intent. Optimize results across the board with machine learning. Personalize search, autosuggest, browse, recommendation results for every user. Computational approaches that infer intent from
a user’s search query. Continuously updated search result rankings through automated learning from behavioral data. Integrated, data-driven effort to deliver unique results for each person and query. Advanced tools to supplement automated results with merchant expertise. Deploy product discovery that automatically learns customer intent. Optimize results across the board with machine learning. Personalize search, autosuggest, browse, recommendation results for every user. As users type in their query, natural language processing deciphers intent and presents conversion-worthy results. Constructor Search collects and learns from behavioral data.
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Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
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LiftIgniter
Personalize the user experience with an easy-to-use machine learning tool that guarantees increased conversions. LiftIgniter is a single platform to personalize all aspects of the customer experience. Using real-time machine learning, LiftIgniter increases conversions through relevant and timely recommendations without compromising the end user's privacy. Ensure that new and returning customers see relevant recommendations, right now. Personalize recommendations for each visitor, matching your brand look and feel. Prevent visitors from seeing old or previously purchased content. Quickly establish placement rules that guide visitors to the content that best serves them. See cart values and conversion rates increase by 15% within 15 days. Leverage ML-based personalization to increase basket size and monetization. Create a one-to-one marketing interaction with personalized recommendations, and convert more customers.
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Beveel
Beveel, which means “recommend” in Afrikaans, is a customer personalization engine that provides recommendations you can use in websites, emails, and social channels. Beveel is a context aware, Machine Learning and Artificial Intelligence based personalization engine for commerce. Beveel personalizes your customers commerce experience and delivers the most relevant and personalized experience possible. While driving your average order value (AOV), increasing sales by 30% in comparison to competitor products. Our visual recommendation engine uses deep learning techniques and Convolutional Neural Network (CNN) to recommend products relevant visually similar products to your customers. Beveel’s tuning service allows merchandisers to indicate their preference of showcasing products which are optimized for Revenue/Margin, Engagement, Conversion. Our purchase intent engine (PIE) matches your customer’s presence behaviours on the site and personalizes the experience in real-time.
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