Boosting Product Sales through a Business Intelligence Approach
DOI:
https://doi.org/10.11594/nstp.2025.4784Keywords:
Business intelligence, sales, data analysis, marketing strategy, decision-makingAbstract
In today’s data-driven business environment, companies need to leverage advanced analytical tools to stay competitive and drive growth. This study analyzes how a Business Intelligence (BI) approach can be utilized to boost product sales through the implementation of a recommendation system based on purchase data. Business Intelligence encompasses a set of technologies and analytical processes used to collect, store, and analyze business data to support better decision-making. In this context, BI is applied to identify sales trends, understand customer behavior, and optimize marketing strategies. The research process involves collecting data from various sources, including historical sales data and customer demographics, which are analyzed using BI tools to uncover relevant patterns and insights. The methodology used in this study involves developing a recommendation system that suggests products to customers based on the most frequently purchased items. Analysis results indicate a 5% increase in sales following the implementation of the recommendation system, demonstrating the effectiveness of BI in driving sales growth. Therefore, adopting Business Intelligence through a product recommendation system represents a strategic step toward enhancing revenue and achieving business success in the rapidly evolving data era.
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