Cognitive Commerce, Volume II

This volume – the second in a two-volume work builds on the foundations established in Volume I by examining advanced applications of artificial intelligence and machine learning in consumer behaviour, marketing analytics and responsible digital commerce. Covering key topics, such as predictive analytics, behavioural economics, machine-learning models, social media analytics, chatbots, virtual assistants and responsible AI in marketing, it discusses how organisations can use consumer data to forecast behaviour, evaluate customer feedback, personalise marketing communication, strengthen engagement and improve strategic decision-making. Chapters reveal how AI can support deeper understanding of consumer choices by combining data science with behavioural insights such as cognitive biases, bounded rationality, heuristics and decision-making patterns. Authors also examine how social media analytics can help entrepreneurs and firms in emerging economies track sentiment, understand market trends and respond more effectively to digital consumers. With an emphasis on ethical and responsible AI, the book addresses privacy, algorithmic bias, transparency, accountability, data protection and consumer trust, showing why AI-driven marketing must be both commercially effective and socially responsible. Taken together, the two volumes explain what cognitive commerce is and how it transforms consumer experiences; it demonstrates how cognitive commerce can be predicted, analysed, managed and implemented responsibly.