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Does artificial intelligence-based advertising improve the marketing and sales of a business An outlook from e-commerce perspective

Nagarajan Muthukrishnan & K. Suregka Felix

International Journal of Business Process Integration and Management2025https://doi.org/10.1504/ijbpim.2025.146532article
AJG 1
Weight
0.41

What the paper says

Advertisement increases sales, profit, brand values, reputation, production costs, etc. To reduce the cost of advertising, artificial intelligence-based advertising may be used in the near future. The present study was carried out in various regions of India. Around 482 respondents participated in the survey. Results revealed that there is no significance between the various business sectors, but significance exists between the various modes of advertisement. This paper attempts to study and develop a new research model to derive an AI algorithm to link and bridge the gap between business sector and advertising mode with the customer's personal interests, browsing history, and personal information, analyse the customer's expectations, pop up the customer-based advertisement module, and distribute it to the advertising channels based on the preferred mode of advertising of the seller's input along with customer feedback and sales feedback from the seller to realign the assumptions and current trends.

2 citations

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https://doi.org/https://doi.org/10.1504/ijbpim.2025.146532

Or copy a formatted citation

@article{nagarajan2025,
  title        = {{Does artificial intelligence-based advertising improve the marketing and sales of a business An outlook from e-commerce perspective}},
  author       = {Nagarajan Muthukrishnan & K. Suregka Felix},
  journal      = {International Journal of Business Process Integration and Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbpim.2025.146532},
}

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Does artificial intelligence-based advertising improve the marketing and sales of a business An outlook from e-commerce perspective

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.