持续性
可靠性
业务
营销
产品(数学)
绿色营销
可持续经营
钥匙(锁)
市场营销策略
客户参与度
能见度
客户保留
客户情报
分析
客户宣传
可持续产品
消费者行为
关系营销
客户关系管理
客户对客户
市场调研
作者
J. Niruba Rani,Sree Mathi S,Sumyutha L,Surya V,Swetha Krishna T S,Thangavel R
标识
DOI:10.1109/icbds67396.2025.11376886
摘要
Sustainable practices are increasingly significant in the contemporary drug industry to maintain customers' trust and promote green products usage. This article presents an innovative strategy for sustainability marketing that is driven by artificial intelligence and tailored to the pharmaceutical industry. It employs analytics of customer behavior and advanced machine learning algorithms to enhance the visibility and credibility of green products. Ensuring green activities are conveyed appropriately and focused, the proposed strategy leverages AI in analyzing consumer trends, predicting sustainability mindsets, and real-time adjustment of marketing campaigns. The approach assists pharmaceutical companies in taking preventive measures to highlight eco-friendly measures by determining key factors affecting customer trust and buying behavior through the utilization of sentiment analysis and natural language processing. The AI-based approach beats traditional methods in customer engagement, brand image, and adoption rate of eco-friendly products, based on experimental testing on both actual and virtual data sets. The study indicates that drug firms that are concerned about the environment and wish to grow their business can potentially gain significantly from intelligent, data-savvy sustainability marketing.
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