AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis

This research paper investigates the impact Artificial Intelligence (AI) is having on the foundational aspects of commerce sales optimization, supply chain management, and consumer behavior analysis. As organizations move into an era of enhanced competition and changing consumer needs, business leaders are now incorporating AI-driven strategies into their business models as the means for achieving operational excellence, and responding to market changes. By considering commercial applications, this research looks in to the function of AI algorithms, predictive analytics, and regression-based models (including the significance of beta coefficients), all of which can have a profound impact on traditional commercial functions. The findings demonstrate measurable business benefits and provide the foundation for a systematic evolution of commercial practice based on intelligence. Key Words: AI in Commerce, Sales Strategy, Supply Chain Automation, Consumer Analytics, Regression Models, Beta Coefficients.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-09
DOI
https://doi.org/10.55041/ijsrem44158
Primary Topic
Big Data and Business Intelligence
Type
article
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0.00
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article

AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis

Kumar Rahul, K Srinivasulu
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
article

AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis

Kumar Rahul, K Srinivasulu
article en

Abstract

This research paper investigates the impact Artificial Intelligence (AI) is having on the foundational aspects of commerce sales optimization, supply chain management, and consumer behavior analysis. As organizations move into an era of enhanced competition and changing consumer needs, business leaders are now incorporating AI-driven strategies into their business models as the means for achieving operational excellence, and responding to market changes. By considering commercial applications, this research looks in to the function of AI algorithms, predictive analytics, and regression-based models (including the significance of beta coefficients), all of which can have a profound impact on traditional commercial functions. The findings demonstrate measurable business benefits and provide the foundation for a systematic evolution of commercial practice based on intelligence. Key Words: AI in Commerce, Sales Strategy, Supply Chain Automation, Consumer Analytics, Regression Models, Beta Coefficients.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis — Kumar Rahul, K Srinivasulu · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS