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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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AI IN HEALTH SECTOR : "ROLE OF ARTIFICIAL INTELLIGENCE IN CHANGING CONSUMER BEHAVIOUR TOWARDS PURCHASING OF MEDICINES ONLINE AND OFFLINE

Authors: Mrs. Kanakamalla R.K.;

AI IN HEALTH SECTOR : "ROLE OF ARTIFICIAL INTELLIGENCE IN CHANGING CONSUMER BEHAVIOUR TOWARDS PURCHASING OF MEDICINES ONLINE AND OFFLINE

Abstract

Artificial Intelligence (AI)-enabled technology was incorporated by e-commerce companies to determine the demands and preferences of their customers with regard to online goods and services. The artificial intelligence keeps track of the consumer’s choices, tastes, and shopping habits. It also tracks how frequently the customer makes purchases and how much they spend on average over a given time frame. E-commerce companies can access comprehensive client data from it. Because of this, companies are able to customize their goods and services to meet the unique requirements and tastes of their clients. By offering a variety of product suggestion, discount, and numerous offer tactics, the AI helps the consumer to choose and buy the best recommended goods and services Artificial Intelligence (AI) is transforming the sale of pharmaceuticals by impacting consumer choices in both online and physical pharmacy industries. Predictive analytics, virtual assistants, and AI-powered recommendation engines are changing how people buy medications. This study compares online and offline buying preferences to examine how AI is affecting consumer behavior. Convenience, cost, trust, and accessibility are looked at, and the difficulties in using AI, such as data protection and legal issues, are evaluated. The study sheds light on how AI might improve the retail of medications and what that means for upcoming patterns in pharmaceutical consumption.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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