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Cart abandonment in e-commerce, with a 70.19% rate in 2025, results in significant revenue losses for retailers. This paper proposes Dynamic Offer and Payment Personalization (DOPP) coined as Durga DOPP Framework, a novel system leveraging machine learning and real-time behavioural data, such as browsing time and cart value, to tailor payment options like digital wallets, buy-now-pay-later, or instant discounts to individual users. By analysing customer preferences dynamically, DOPP enhances checkout efficiency and user satisfaction. A simulation study with 10,000 synthetic transactions modelled on mid-sized retailer data showed a 28% reduction in cart abandonment and a 15% increase in conversion rates compared to static payment systems. This scalable, data-driven approach offers retailers a practical solution to optimize checkout processes, reduce losses, and improve customer engagement. The paper details DOPP’s architecture, implementation, and potential for broader e-commerce applications.

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Dynamic Offer and Payment Personalization (DOPP): Reducing Cart Abandonment in E-commerce Using Random Forest Machine Learning Model

  • 会议论文

  • 发表日期：

    2026年

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  • Durga Krishnamoorthy

摘要

Cart abandonment in e-commerce, with a 70.19% rate in 2025, results in significant revenue losses for retailers. This paper proposes Dynamic Offer and Payment Personalization (DOPP) coined as Durga DOPP Framework, a novel system leveraging machine learning and real-time behavioural data, such as browsing time and cart value, to tailor payment options like digital wallets, buy-now-pay-later, or instant discounts to individual users. By analysing customer preferences dynamically, DOPP enhances checkout efficiency and user satisfaction. A simulation study with 10,000 synthetic transactions modelled on mid-sized retailer data showed a 28% reduction in cart abandonment and a 15% increase in conversion rates compared to static payment systems. This scalable, data-driven approach offers retailers a practical solution to optimize checkout processes, reduce losses, and improve customer engagement. The paper details DOPP’s architecture, implementation, and potential for broader e-commerce applications.