IT-Enabled Shrinkflation Management for Kopi Esensi's Inflation-Driven Cost Challenges

The dataset contains both quantitative and operational data used to analyze the implementation of shrinkflation strategies in a coffee shop business environment. The data consists of two main components. First, raw material cost data before and after the implementation of shrinkflation, including ingredient composition, quantity adjustments, and cost of goods sold (COGS). Second, customer survey data collected from 100 respondents, measuring perceptions of product quality, pricing, and overall customer satisfaction using a Likert scale. The dataset is used to evaluate the relationship between product quality, price, and customer satisfaction through multiple linear regression analysis. Additionally, the data supports the development of an IT-enabled decision support framework that integrates cost evaluation, pricing strategy, and customer feedback for structured decision-making. This dataset is intended for research and educational purposes, particularly in the fields of digital business, cost management, data analytics, and decision support systems in small and medium enterprises (SMEs).