Sentient Recommender Description
It is becoming harder to identify the individual taste of the customer due to the rapid expansion of product options and increased choice options. The Sentient Recommender delved deep into the individual taste of the customer by analysing their choices and recommending products that will best suit their preferences. Recommender's insight into these personal preferences is based on a large database that includes previous choices made by many consumers. The historical sales and lending data used to make product recommendations is the basis for conventional product recommendations. "Customers who have borrowed this book have also read these titles." The Sentient Recommender does more than that, interpreting individual taste based upon a unique combination of preferences. Popularity of the products plays an important part in this process. Some choices are based more on the popularity of the products than the actual preference of the consumers.
Sentient Recommender Alternatives
HiConversion
Customers are now more in control of how they shop online. Only the best experiences will keep them coming back. It is more important than ever that you deliver personalized, relevant buying experiences to all your customers, at all times, across all segments and throughout the customer's entire lifecycle. HiConversion's deep machine-learning algorithms and detailed customer data allow you to present highly relevant product recommendations in real time - all based upon your visitors' behavior during live-shopping sessions. You can say goodbye to traditional product recommendations that don't take into account the changing preferences of online shoppers. You can run multiple experiments simultaneously to turbocharge your conversion rate optimization. Our self-learning algorithms adjust to visitor preferences in real time to minimize risk and maximize revenue lift.
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Beauty Matching Engine
Target customers with dynamic personalization and intelligent curation at all touchpoints to increase revenue. Customers can improve customer experience by using AI-driven personalized recommendations. AI-driven personalized emails with the right content, sent at the right time. Personalize category and product listing pages by sorting products based on user behavior. Virtual Beauty Assistant allows you to capture customer data. To increase loyalty and AOV, you can use the "beauty fingerprints" data to target customers. The menu and menu dropdown are personalized to the customer's preference. The menu will be customized to reflect the customer's preference for cleansers. Complete data insights with actionable visualizations. To help with choice paralysis, show visitors personalized product recommendations. Each landing page can be personalized.
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Beveel
Beveel is Afrikaans for "recommend", and it's a customer personalization engine that makes recommendations you can use on your website, emails, or social media channels. Beveel is an artificial intelligence and machine learning-based personalization engine that can be used to personalize commerce. Beveel personalizes the commerce experience of your customers and delivers the best and most relevant experience. Your average order value (AOV) will increase by 30% compared to similar products. Our visual recommendation engine makes it easy to recommend visually similar products to customers using deep learning techniques and Convolutional Neuro Network (CNN). The tuning service by Beveel allows merchandisers the ability to specify their preference for showcasing products that are optimized for Revenue/Margin and Engagement, as well as Conversion. Our purchase intent engine (PIE), matches customer behaviours on the site to personalize the experience.
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Amazon Personalize
Amazon Personalize allows developers to create applications using the same machine learning technology (ML) used by Amazon.com to provide personalized recommendations in real time. No ML expertise is required. Amazon Personalize allows developers to easily create applications that can deliver a wide range of personalized experiences. This includes product recommendations, personalized product ranking, and targeted direct marketing. Amazon Personalize is a fully managed machine-learning service that goes beyond static rule-based recommendation systems. It trains, tunes and deploys customML models to deliver highly personalized recommendations to customers in a variety of industries, including media and entertainment. Amazon Personalize provides the infrastructure and manages all aspects of the ML pipeline. This includes processing the data, identifying features and using the best algorithms. Training, optimizing and hosting the models are also included.
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Integrations
No Integrations at this time
Company Details
Company:
Sentient Information Systems
Year Founded:
1991
Headquarters:
Netherlands
Website:
www.sentient.nl/sentient-recommender
Media
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Product Details
Platforms
SaaS
Customer Support
Phone Support
24/7 Live Support
Online
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