This study focuses on product optimization and revenue contribution analysis for Afficionado Coffee Roasters. The objective is to evaluate the performance of different products and identify their impact on overall business revenue. Using data analysis techniques, the study examines sales trends, customer preferences, and product-wise revenue contribution. The research applies analytical methods to identify high-performing and low-performing products, enabling better decision-making for inventory management and product strategy. The findings highlight how data-driven insights can improve product optimization, enhance customer satisfaction, and maximize profitability in the retail coffee industry. This case study demonstrates the importance of data analytics in supporting strategic business decisions and improving operational efficiency.
abdul adnan (Fri,) studied this question.
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