The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Unlocking Sales Potential: How AI Revolutionizes Marketing Strategies
Open accessAbstract
In the ever-evolving landscape of marketing, the integration of artificial intelligence (AI) has emerged as a transformative force, revolutionizing traditional strategies and unlocking untapped sales potential for businesses. This paper explores the multifaceted impact of AI on marketing strategies, elucidating its role in enhancing customer engagement, optimizing targeting efforts, and enabling data-driven decision-making. Through the analysis of case studies and industry insights, it delineates the various applications of AI, including predictive analytics, personalized recommendations, and chatbots, in reshaping the marketing paradigm. Moreover, it examines the challenges and ethical considerations associated with AI adoption, underscoring the importance of transparency and responsible usage. By embracing AI-powered methodologies, businesses can effectively navigate the complexities of the modern market landscape, driving innovation, and maximizing sales growth.
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“AI enables not only the creation of the avatar's visuals but also its dialogue (via natural language generation) and behavior, potentially giving each user a slightly tailored interaction (Rivas & Zhao, 2023;Sharma et al., 2023;Yadav, 2024).”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Sharma et al., 2023
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“Rather than engaging consumers as sovereign choosers, the system tests and exploits their cognitive biases, like showing a time-limited discount to trigger a fear-of-missing-out (scarcity bias) or using social comparison info (”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Sharma et al., 2023
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Cites
(2016) · Cited by 11,679
Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,730
Artificial Intelligence: A Modern Approach
Ligęza, A. (1995) · Neurocomputing · doi:10.1016/0925-2312(95)90020-9 · Cited by 1,867
Cited by
Sorted by citations
Raja, V. (2024) · Journal of Artificial Intelligence General science (JAIGS) · doi:10.60087/jaigs.v4i1.86 · Cited by 31
Revolutionizing Healthcare: The Role of Machine Learning in the Health Sector
Sarker, M. (2024) · Journal of Artificial Intelligence General science (JAIGS) · doi:10.60087/jaigs.v2i1.96 · Cited by 91
Shuford, J. (2024) · Journal of Artificial Intelligence General science (JAIGS) · doi:10.60087/jaigs.v1i1.87 · Cited by 25
The Impact of Spaced Learning Strategies on Vocabulary Retention in Primary English Classrooms
Murphy, A. P. D. (2024) · Journal of Artificial Intelligence General science (JAIGS) · doi:10.60087/jaigs.vol4.issue1.p141 · Cited by 16
Role of GenAI in Automated Code Generation within DevOps Practices: Explore how Generative AI
Tembhekar, P., Devan, M., & Jeyaraman, J. (2023) · Journal of Knowledge Learning and Science Technology · doi:10.60087/jklst.vol2.n2.p512 · Cited by 13
Metadata
- Authors
- Sharma, K. K., Tomar, M., & Tadimarri, A.
- Affiliations
- Cisco Systems (United States) (US)
- Citigroup (US)
- Venue
- Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
- Publisher
- Open Knowledge
- Published
- 2023-07-12
- Volume
- 2
- Issue
- 2
- Pages
- 231-250
- ISSN
- 2959-6386 (ISSN-L)
- OpenAlex
- W4392256252
- Cited by
- 35
- References
- 3
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 20 · 2023: 3
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Knowledge Learning and Science Technology (publishedVersion, cc-by)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- artificial intelligence in marketing, sales potential, customer engagement, predictive analytics, personalized recommendation, chatbots, customer targeting, data-driven decision making, AI ethics, transparency, responsible AI use
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