There are numerous AI-based product recommendation solutions that use
social proof to influence purchase decisions. These tools provide
recommendations as soon as customers interact with the website and
provide valuable insight based on their searches.
Extensions and plugins can track customer store history and generate recommendations based on related searches. Netflix, the leading online media-services provider also uses AI to manage its recommendations by showing results based on the user’s preferences and selections made by similar profiled customers. 80% of Netflix streaming is done as a result of AI recommendations.
Companies such as Adobe have already begun to take AI into their product architecture. In 2016 Adobe launched Sensei, an AI-based framework built to improve the designing abilities of the platform using intelligent features to help designers work their tasks more efficiently. Sensei also uses machine learning to enhance the overall design and delivery of the project, dramatically improving the final product. Using AI, and machine learning, Adobe Sensei can help you uncover the hidden opportunities in design, enhance tedious processes, and deliver relevant experiences for each user.