Intelligent Promotion And Retention Engine A Unified AI Framework For Seller Decision Optimization In Large-Scale Commerce Systems
DOI:
https://doi.org/10.15662/IJEETR.2024.0601004Keywords:
E-commerce, AI, Decision Optimization, Seller, Intelligent PromotionAbstract
This paper is an evaluation of an AI based integrated framework aimed at enhancing the efficiency of promotions and customer retention, as well as optimization of business at platform level. It is relying on RFM-based segmentation, uplift modeling as well as optimization methods and precisely depicts different user groups and predicts their promotional responsiveness. Random Forests
models performed the best on the predictive performance whereas uplift modeling outperformed the forecasting by 17.5%. Experiments of optimization showed significant ROI returns in all budgetary situations, especially in the low budgetary ranges. An A/B test on the platform level also ensured the improvement of the daily activity, purchase conversions, and retention. The findings indicate that tailored performance of the promotion measure improves both the interaction with users and business
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