Airline cargo and logistics form an integral part of the global economy by offering a convenient means of transporting goods within regions and across international borders. As the global world continues to embrace online shopping and other forms of business, globalization, and increased complications in supply chain management have led to an increase in the relevance of air cargo services. However, airline cargo services encounter numerous challenges such as variable demand, increased cost, reduced cargo capacity, and fast decision-making. The present research focuses on the use of business analytics in airline cargo and logistics activities. The main objective of the project is to examine how business analytics could improve the effectiveness of airline cargo services. Through analyzing relevant operational information concerning shipments, routes, turnover times, and cargo capacities, companies will gain valuable insights about cargo operations. The study will consider a range of issues related to the utilization of business analysis methods in air cargo service operations, including predicting demand, routing and pricing, and inventory control. Business analytics techniques include descriptive, predictive, and prescriptive analysis methods that will be used in this study. Further, the study highlights the importance of utilizing technology in transforming traditional logistics processes into smart ones.

Analytics have made decision making, transparency, and customer satisfaction more effective than ever before. As per the findings of the research study, there are several advantages of applying business analytics to airline cargo operations, such as increased efficiency and profitability of the organization.

Keywords-

Airline Cargo; Logistics Operations; Business Analytics; Demand Forecasting; Route Optimization; Data Visualization; Operational Efficiency