Item-based recommendations – Item-based personalised recommendations include “Viewed this, Viewed that,” “Viewed this, Bought that” and “Bought this, Bought that” recommendations to attract customers with similar or better items based on past customer behaviour.This kind of target marketing leads to superior conversion rates and higher average order value (AOV). Shopper-based recommendations – With past user behaviour and similar shoppers’ information, Adobe Sensei develops custom-tailored recommendations using various pieces of content for individual shoppers i.e “Recommendations for you”.How Does Adobe Sensei Integrate with Adobe Commerce (Magento)?Īdobe Sensei supported on the Adobe Commerce platform is the AI engine used to power a variety of different product recommendations to up-sell and cross-sell customers. Adobe Document Cloud – As part of Adobe Document Cloud, Adobe Sensei uses computer science fictions to get better scanning accuracy, simplifies form filling, and signing documents the online process.Adobe Creative Cloud – Sensei AI can be used for Photoshop, Illustrator, and Premiere to modify photos, videos, and other media – and for enhanced search capabilities.Adobe Experience Cloud – Adobe Sensei features like predictive analytics, ad spends targeting, analytics, and personalised customer journeys and recommendations all use the advanced AI/ML engine to get better results.It is used for product recommendations on Adobe Commerce to target audience and enhance eCommerce operations and sales with the power of AI technologies.Īdobe Sensei is used by the following product suites: What is Adobe Sensei – Understanding the BasicsĪdobe Sensei is Adobe’s in-house AI (Artificial Intelligence) and ML (Machine Learning) platform that provides a range of robust features across Adobe’s product array.
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