Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57575
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The pharmaceutical industry is in the midst of a sea change propelled by rapid advances in digital technologies, especially Artificial Intelligence. AI has grown as a powerful tool within pharmaceutical marketing, enabling companies to analyze large volumes of data for useful insights and quicker, more precise marketing strategies. In emerging urban markets like Lucknow, pharmaceutical firms take to increasingly adopting AI-based tools that help enhance marketing performance, productivity, and better decision-making in a competitive and regulated environment. The given study investigates the contribution of AI to pharmaceutical marketing and its consequences for major fields: customer targeting, effectiveness of marketing, sales growth, and relationship management. It underlines big AI applications such as customer segmentation, predictive analytics, AI-enabled CRM systems, and personalized promotion strategies. The AI-enabled dashboard, digital marketing platform, and CRM tool were observed by the researcher in Lucknow during the internship period, which has helped in developing better targeting of doctors and retailers, monitoring sales performance, and measuring campaign effectiveness. It can be determined that the application of AI would enhance the efficiency of the marketing process by eliminating the need for human input, increasing precision, and aiding the decision-making process. The challenges that were established include the absence of technical know-how, the difficulties that are encountered during the integration of data, the cost of implementation, as well as the attitudes of people towards change. The establishment of the conclusions of this paper is that AI is vital for the success of pharmaceutical companies.
KEYWORDS
Publication Date
12/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
6
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...