Predicting Consumption Intention of Consumer Relationship Management Users Using Deep Learning Techniques: A Review

Consumer/customer relationship management (CRM) can potentially influence business as it predicts changes in people’s perspectives, which could impact future sales. Accordingly, advancements Information Technology are under investigation to see their capabilities improve the work of CRM. Many prediction techniques, such Data Mining, Machine Learning (ML), and Deep (DL), were found be utilized with ML methods dominate other approaches terms consumers’ intention purchase. This review provides DL algorithms that mostly used last five years, support CRM predict purchase for better product sales decisions. Prediction criteria related online activities behavior most inputs models. slowly applied within due advanced handling large complicated datasets minimum human supervision. models CNN LSTM result high accuracy 98%. Future research uses two (CNN, LSTM) compiled make best consumption Additionally, an effort is being made create a framework predicting purchases based on many pertinent characteristics.