The study titled “Integrated Logistics Cost Analysis and Optimization: A Data-Driven Study of Revathi Equipment India Ltd.” investigates the significance of logistics cost management in enhancing operational efficiency and profitability within the manufacturing sector. Logistics is a critical function that bridges production and customer delivery, and its cost efficiency determines the overall competitiveness of an organization. The research primarily focuses on identifying key cost determinants—such as trip volume, vehicle type, distance travelled, and fleet utilization—and evaluates their influence on total logistics expenditure.
Using secondary data collected from the logistics department of Revathi Equipment India Ltd. for the financial year 2023–2024, the study applies various statistical tools, including correlation, ANOVA, and regression analysis, to examine cost behaviour and operational trends. The results indicate a strong positive correlation between distance and total cost (r = 0.87) and a significant variation in cost across different vehicle types (p < 0.01). Seasonal trends reveal fluctuating cost patterns, peaking during high-demand months. The research concludes that through data-driven decision-making, preventive maintenance programs, and route optimization strategies, the company can achieve a 10–12% reduction in annual logistics costs. The study emphasizes that integrating data analytics into logistics operations enhances cost predictability, improves vehicle utilization, and contributes to sustainable competitive advantage.