Demand forecasting model for Beverage Company

Abstract

This research navigates the intricate landscape of beverage demand forecasting, emphasizing the fusion of advanced machine learning techniques with ethical considerations in addressing real world business challenges. Chapter 1 sets the stage by delineating the significance of demand forecasting in strategic business planning, elucidating the complexities and uncertainties inherent in beverage demand prediction. Chapter 2 delves into the methodology employed in the beverage demand forecasting project, elucidating the systematic approach to data acquisition, preprocessing, and feature engineering. Chapter 3 delves into the intricacies of data preprocessing, elucidating the steps involved in cleaning, transforming, and engineering features from raw sales data. Chapter 4 embarks on a journey through the realm of model development, unraveling the intricacies of training and evaluating regression models.Chapter 5 delves into the meticulous process of model evaluation, unveiling the metrics and techniques employed in assessing the performance of forecasting models. Chapter 6 illuminates the deployment phase, delineating the strategies for integrating the selected forecasting model into the operational framework of the beverage company. Chapter 7 navigates the ethical dimensions of the beverage demand forecasting project, unraveling the professional, social, legal, and ethical considerations inherent in handling sensitive sales data. Chapter 8 extends the ethical discourse, exploring the implications of forecasting models on various 5 stakeholders and elucidating the measures to mitigate potential harm and safeguard stakeholders' interests. Chapter 9 culminates the report with a panoramic view of the journey from problem identification to model deployment, encapsulating the achievements, challenges, and future directions in beverage demand forecasting. In essence, this academic report traverses the intersection of machine learning and business analytics, weaving together technical prowess with ethical acumen to chart a course towards responsible and impactful forecasting in the beverage industry.