Artificial Intelligence (AI) has emerged as the most significant technological forcedriving global commerce in a new direction. AI is rapidly creating value across variousdomains including customer interaction, logistics management, financial security, andstrategic planning. This research paper analyzes five major AI-driven commercialtransformations: Hyper-Personalization, Supply Chain Optimization, ConversationalCommerce, AI-based Fraud Prevention, and Predictive Demand Analytics. The findings,based on a systematic mixed-method research conducted using 94 peer-reviewed studiespublished between 2019 and 2024 along with reliable industry data, indicate that AIrecommendation systems generate 30–40% of e-commerce revenue; AI-enabled supplychains recover on average 11 weeks earlier from major disruptions; AI-based customerservice operates at three to seven times lower cost than traditional methods; ML-based frauddetection systems prevent losses of billions of dollars annually; and AI demand forecastingimproves accuracy by 15–30%, directly increasing gross profit and working capitalefficiency. The paper concludes that the AI-enabled future of commerce depends not only ontechnological advancements but also on purposeful institutional governance, inclusive designprinciples, and equitable distribution of productivity gains.
Dr. Shyam Madhukarrao Sarsare (2025) studied this question.
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