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Impact of AI on Consumer Buying Behaviour

Authors: Yadav, Niki;

Impact of AI on Consumer Buying Behaviour

Abstract

Abstract: Artificial Intelligence (AI) is changing the way people shop and make buying decisions, especially in today’s online world. As more people use digital platforms, AI helps businesses understand what customers like, what they search for, and how they behave while shopping. This allows companies to give more personalized suggestions and create shopping experiences that feel more suited to each individual.Whether its product recommendations, targeted ads, Chatbot’s answering questions, or virtual assistants giving support, AI plays a role at almost every step of the buying process. It helps businesses study large amounts of information to offer better suggestions, quicker service, and smoother experiences. Because of this, customers can shop more easily, make decisions faster, and find products that match their needs more closely.This study looks at how AI influences consumer buying behavior, especially in areas like personalization, trust, quicker decision-making, and overall customer visit in today’s modern retail environment.

Keywords

Keywords: Artificial Intelligence (AI), Consumer Buying Behaviour, Decision-Making, Customer Satisfaction.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green