Best eCommerce Personalization Software 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.

Leading brands must find new ways to engage and acquire consumers in a privacy-forward future, as third-party cookies have been eliminated. ZineOne is a leading-edge Real Time Marketing Platform using sophisticated ML models. It scores and adjusts every site visitor's experience at any given moment, regardless of anonymity or known, without storing any PII information. ZineOne technology is used by top brands in retail, ecommerce, hospitality and banking to increase site visitor conversions and track the exact monthly revenue lift contribution.

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.