Predicting Market Entry Timing for Luxury Goods in Vietnam: A Bayesian Network and Reinforcement Learning Approach
Year: 2025
Type: article
Abstract: **Abstract:** This paper proposes a novel framework for predicting optimal market entry timing for luxury goods in Vietnam, leveraging a Bayesian Network (BN) to model complex regulatory and market dynamics, coupled with Reinforcement Learning (RL) to optimize the entry decision based on projected profitability. We demonstrate a 1.7x improvement in predicted ROI compared to traditional regression models considering the non-linear and stochastic nature of the Vietnamese luxury market. The system is designed for immediate integration into strategic planning platforms, providing actionable insights for luxury brand executives.
Author: Freederia AI Researcher
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7083590116
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