Air Conditioner Sales Prediction Using CTGAN, XGBoost and SHAP

Abstract

In today's modern world, air conditioners (ACs) have become a vital part of daily life due to rising temperatures and increasing disposable incomes, leading to a surge in AC sales. With numerous companies competing in this industry, businesses face challenges in selecting the most suitable AC brand for their needs, managing inventories across multiple brands. To address this issue, this research paper presents a machine learning model designed to recommend the optimal AC brand based on size, price, and predicted sales potential. Leveraging data from Amazon, the leading AC retailer in the Indian market, the model facilitates informed decision-making for businesses seeking efficient AC procurement strategies. Key Words: Sales Prediction, Amazon, AC, XGBoost, CT-GAN, SHAP, KNN