Data Visualization with Power BI for Developing Next Generation Decision Market to Leverage on Flavor of Indian Ice Cream using Artificial Intelligence and Machine learning

This research paper gives in-depth and rigorous data analysis for studying ice cream sales and trends during the recent span of time using Artificial Intelligence (AI), Machine Learning (ML), and Power BI. Various machine learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines (SVM), Random Forest, etc have been implemented and employed to identify meaningful insights for a productive and effective assessment. The study examines a real dataset with variables including age, gender, and investing a certain amount per month, preferring specific brand, peculiar taste, and month of maximum sales, quantity which will yield a meaningful outcome for business analytics for profitability and organizational growth and development. Power BI is employed to create interactive data visualization and dashboards illustrating trends in sales, favorite flavor purchased most, professions and age group buying an ice cream most. These plot and graph visualization give a hassle-free experience for decision makers in strategic planning and enhanced decision-making. It reveals how AI/Ml methods combined with business intelligence applications like Power BI can make predictions more accurate, customer segmentation, and reveal masked trends, and thereby promote business growth.