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Analyzing market dynamics and optimizing sales performance with machine learning

Kamat et al. | May 31, 2025

Analyzing market dynamics and optimizing sales performance with machine learning

This study uses interpretable machine learning models, lasso and ridge regression with Shapley analysis, to identify key sales drivers for Corporación Favorita, Ecuador’s largest grocery chain. The results show that macroeconomic factors, especially labor force size, have the greatest impact on sales, though geographic and seasonal variables like city altitude and holiday proximity also play important roles. These insights can help businesses focus on the most influential market conditions to enhance competitiveness and profitability.

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Exploring the Factors that Drive Coffee Ratings

Agarwal et al. | May 19, 2025

Exploring the Factors that Drive Coffee Ratings

This study explores the factors that influence coffee quality ratings using data from the Coffee Quality Institute. Through a regression model based on gradient descent, the authors aimed to predict coffee ratings (total cup points) and hypothesized that sweetness and the coffee producer would be the most influential factors.

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