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April 29, 20260 citationsOpen Access

Current Status and Trends in Commerce with Reference to AI Technology

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DSDr. Shyam Madhukarrao SarsarePlacer School for Adults

Key Points

  • This research examines the role of artificial intelligence in shaping contemporary commerce.
  • Systematic mixed-method research conducted using 94 peer-reviewed studies.
  • Analysis of industry data from the years 2019 to 2024.
  • AI recommendation systems generate 30–40% of e-commerce revenue.
  • AI-enabled supply chains recover on average 11 weeks earlier from major disruptions.

Abstract

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.

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Cite This Study

Dr. Shyam Madhukarrao Sarsare (2025) studied this question.

synapsesocial.com/papers/69f154c0879cb923c4944ed7https://doi.org/10.5281/zenodo.19808389
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