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AI is essential for optimising the customer journey since it customises interactions at every stage of the process. Companies can predict consumer patterns and prepare for demands with the help of predictive analytics. Mimicking technology can significantly affect the way customers feel, practices and beliefs, which in turn can affect how they make choices. Social networking platforms, for example, employ mimic technology to follow users' online habits and recommend content according to what they are likely to find interesting. Furthermore, mimic technology can be used to create immersive shopping experiences that influence consumers' emotions and purchasing decisions. Consumers might be able to interact with virtual organisations, try on clothes and assess goods thanks to virtual reality and augmented reality. As a result, consumers could become more confident when making buying decisions, increasing the possibility that they will buy something. Understanding how mimic technology works can help businesses create better consumer-friendly goods and services as well as more successful marketing initiatives.

This chapter would present a systematic review of the evolution of decision-making process and the role of social robots and mimicking technology. This chapter would explore the most novel and trending advances in AI-based mimicking technology fluxing the consumer buying decisions. Additionally, the study would describe the existing challenges of software architecture of AI-enabled mimicking technologies and social robots. Finally, the study would present the future directions that these systems can take in the future.

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