Experiences and Devices Organization, Microsoft, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 2254-2272
Received on 12 January 2024; revised on 16 May 2024; accepted on 19 May 2024
In the competitive landscape of business, understanding customer behaviour and identifying opportunities for upselling are crucial for sustainable growth. This paper delves into leveraging artificial intelligence [AI] models to accurately measure and predict customer upsell potential. Traditional methods of analysing upsell opportunities, such as manual data reviews and basic predictive analytics, often lack the precision and scalability required in dynamic market environments. AI-driven approaches, however, offer enhanced capabilities through data-driven decision-making and real-time analysis. Machine learning models, especially those utilizing customer data from various touchpoints, can uncover nuanced patterns in purchasing behaviour, customer preferences, and likelihood of conversion. The study outlines key AI techniques employed in customer upsell measurement, including predictive modelling, natural language processing [NLP] for sentiment analysis, and deep learning for sophisticated pattern recognition. These tools enable businesses to develop highly targeted marketing strategies, improve customer experience, and increase revenue by identifying high-potential customers more effectively. Case studies are presented to illustrate successful AI model implementation, showcasing improvements in upsell conversion rates and customer lifetime value. Challenges such as data quality, integration complexities, and model interpretability are also discussed, emphasizing the need for transparent AI processes and ethical considerations. The paper concludes by highlighting future prospects in the field, such as the integration of AI with customer relationship management [CRM] systems and the potential of generative AI models to offer personalized upsell suggestions.
AI models; Customer upsell; Predictive analytics; Machine learning; Customer behaviour; Deep learning
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Daniel Ogbu. Leveraging AI models to measure customer upsell. World Journal of Advanced Research and Reviews, 2024, 22(2), 2254-2272. Article DOI: https://doi.org/10.30574/wjarr.2024.22.2.0449