The incorporation of Artificial Intelligence (AI) in e-commerce is revolutionizing financial processes, customer interaction, and strategic decision-making. This study assessed the influence of AI-driven solutions across five principal dimensions illustrated in data visualizations. The usage of AI inside financial commerce (F-commerce) enterprises has markedly increased, escalating from 30% in 2018 to 76% in 2024, signifying a rapid acceptance of AI technology throughout the sector. A comparison of forecasting models indicates that AI-driven forecasting attains an impressive 90% accuracy rate, surpassing traditional approaches that obtain merely 52%, thus improving inventory management and revenue forecasts. The customer interaction data indicates that AI-driven recommendation systems constitute 35% of traffic, closely trailing direct searches at 40%, and significantly exceeding other sources at 10%, underscoring AI’s influence on personalized customer experiences and sales conversions. Industry studies indicated that data quality (40% of respondents), insufficient testing (28%), and a lack of diversity in training datasets (21%) are significant obstacles to AI adoption, highlighting essential areas for enhancement to guarantee ethical and impartial results. Trend research indicates a consistent increase in the utilization of both predictive and prescriptive analytics, with predictive analytics approaching 75% adoption and prescriptive approaches exceeding 60%, highlighting a transition towards proactive and optimal corporate tactics. Together, these findings underscored the transformative role of AI in improving forecasting precision, customer targeting, and operational efficiency in online commerce. The advantages such as diminished manual errors improved fraud detection, and heightened client retention rendering AI an essential instrument for the future E-commerce Innovation.
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