Best Product Recommendation Engines for Oracle Commerce

SmartHint allows small e-commerces sell more by using artificial intelligence to recommend products based on their customers' needs. We adapt the products to each customer's profile. We create urgency through pop-ups on product pages, cart abandonment, and pop-ups. We are the most affordable intelligent search and recommendation system on the global market. Our team is always available to help you via email, chat, or WhatsApp. To predict buying behavior, we have data from over 50 million users. We make it easier to personalize shop windows by automating this process. The site's homepage now shows more relevant products. All the results are available in real-time in our dashboard analytics.

Beveel, the Afrikaans term for “recommend,” serves as a customer personalization platform that generates tailored suggestions for use across websites, emails, and social media channels. This advanced personalization solution leverages Machine Learning and Artificial Intelligence to enhance the shopping experience for customers. By delivering highly relevant and individualized interactions, Beveel not only boosts your average order value (AOV) but also increases sales by 30% compared to competing offerings. The platform's visual recommendation engine employs deep learning algorithms and Convolutional Neural Networks (CNN) to suggest visually similar products that resonate with your customers. Additionally, Beveel’s tuning service empowers merchandisers to prioritize product displays that are optimized for factors such as Revenue/Margin, Engagement, and Conversion. Furthermore, the purchase intent engine (PIE) analyzes customer behavior on the site to customize their experience in real-time, ensuring that every interaction is as relevant as possible. This comprehensive approach to personalization ultimately drives greater customer satisfaction and loyalty.

LTV.ai is an innovative marketing platform that harnesses the power of AI to elevate customer interaction and drive sales for ecommerce brands through highly tailored email and SMS campaigns. By scrutinizing customer data, including factors like location, buying patterns, and feedback, LTV.ai empowers businesses to craft messages that are uniquely suited to each individual. Among its standout features are contextualized one-to-one personalization, tailored product suggestions, AI-fueled proactive segmentation, optimized coupon strategies, intelligent conversation management, and active feedback collection. These functions are designed to enhance repeat purchase rates, increase revenue per communication, and boost sales through owned channels. Our advanced AI not only utilizes current customer segments but also actively discovers new ones, providing businesses with a more profound insight into their audience. This ensures that customers receive the most suitable products at the right moment, accompanied by personalized rationales for their selections, ultimately enriching the overall shopping experience.

Retail Week nominated Swogo to be one of the Top 25 Most Innovative Retail Companies. Swogo has helped more than 100 retail leaders achieve profitable growth. Swogo's automated cross sell bundles have helped brands like Decathlon, Sephora Media Markt, John Lewis and Petco make millions of incremental margins. Swogo Product Graph™, a unique approach that focuses only on understanding a retailer’s product assortment, combined with machine learning algorithms and AI algorithms has helped to surpass 10 billion bundle recommendations in 2020. The company was founded in 2012 and is privately funded. Swogo was featured in Entrepreneur, The Financial Times and Business Insider.