This study conducts a cost-benefit analysis to assess the feasibility of switching from air freight to sea freight at Wind Power Ltd, focusing on optimizing logistics costs, lead time, and operational efficiency. The aim is to evaluate potential savings, identify key operational differences, and determine whether the transition would provide a sustainable, cost-effective alternative to air freight. Primary data was collected through surveys and interviews with 150 employees involved in logistics, procurement, and supply chain management. Secondary data from internal shipping records and industry reports supplemented this collection. The analysis compares transportation costs, delivery reliability, and customer satisfaction across both freight modes. The results reveal that while sea freight offers significant cost savings, it is associated with longer lead times and occasional service delays. The findings suggest that switching to sea freight could provide long-term cost efficiency, particularly for non-urgent shipments, but requires process adjustments to accommodate longer transit times.

In an era dominated by technological innovation and global competition, logistics has emerged as the cornerstone of business success. Technology adoption in logistics operations enhances visibility, accuracy, and speed, transforming traditional supply chain models into agile, data-driven systems. This study, conducted at Safexpress — India’s leading supply chain and logistics company — examines how technologies such as the Warehouse Management System (WMS), Transportation Management System (TMS), Global Positioning System (GPS), and the proprietary software Propel influence logistics efficiency. Using both primary and secondary data, the study explores the relationship between technology adoption, operational performance, and employee adaptability. Findings indicate that technology has significantly reduced paperwork, improved route planning, and enhanced inventory management while saving substantial operational time. However, challenges such as system downtime, lack of training, and complex interfaces persist.

The study focuses on sustainable packaging strategies implemented at Shree MTK Textile Pvt. Ltd. The research aims to evaluate how adopting eco-friendly materials and practices influences cost-efficiency, operational performance, and environmental outcomes. The study employs a descriptive research design using both primary and secondary data sources. Data from 62 employees were analyzed through statistical tools such as Chi-square Test, ANOVA test, Correlation Analysis, and T-TEST. The results demonstrate that sustainable packaging enhances organizational reputation, improves waste management, and promotes long-term profitability. The findings provide practical recommendations for integrating sustainability into packaging operations effectively.

This research examines the effect of talent acquisition strategies on employee performance at SR Universe Tech, an emerging company in the technology industry. In today’s dynamic and competitive business landscape, securing and retaining qualified talent has become a key factor for achieving organizational success and sustainable growth. The study explores how well-structured recruitment planning, sourcing techniques, selection processes, and onboarding programs influence employee engagement, efficiency, and job satisfaction. A descriptive research method was used, collecting data from 82 employees through a systematically designed questionnaire. The data were analyzed using statistical techniques such as Simple Percentage Analysis, Chi-Square Test, Correlation, and Regression to determine the link between talent acquisition practices and employee performance. The findings demonstrate a significant and positive relationship between effective recruitment systems and employee output. When hiring practices are aligned with organizational goals, employees tend to exhibit higher motivation, stronger commitment, and improved productivity. The study also highlights that reliance on outdated hiring methods and insufficient workforce planning hinder organizational progress. It is recommended that SR Universe Tech adopt modern, technology-based, and data-driven recruitment approaches to attract top talent and minimize turnover. Implementing a strategic and forward-thinking talent acquisition framework will help the organization enhance performance, improve employee engagement, and maintain a sustainable competitive edge.

This study evaluates the effectiveness of Fincover’s performance appraisal system in enhancing employee productivity and engagement. The organization’s appraisal methods are found to be fair, transparent, and development-oriented, fostering a culture of recognition and continuous improvement. Employees perceive the system as motivating and aligned with organizational goals, promoting open communication and timely feedback. Fincover’s approach effectively links individual performance with professional growth, encouraging innovation and accountability. Overall, the study affirms that Fincover’s performance appraisal practices serve as a strategic tool for driving excellence and sustaining high performance within a dynamic FinTech environment.

The logistics industry has become a highly competitive sector where effective marketing and strong branding play a crucial role in attracting and retaining customers. This study, titled “A Study on the Role of Marketing and Branding in Enhancing Service Visibility and Customer Acquisition at ABT Logistics”, aims to analyze how strategic marketing initiatives and brand positioning contribute to the company’s market presence and customer growth. The research focuses on identifying key marketing practices adopted by ABT Logistics, evaluating their effectiveness in creating brand awareness, and examining their impact on customer acquisition and retention. Both primary and secondary data were utilized, with surveys and interviews conducted among customers and employees to understand perceptions of the brand and its marketing efforts. The findings reveal that consistent branding, digital marketing, and customer relationship strategies significantly enhance service visibility and trust among clients. The study concludes that a strong brand image combined with targeted marketing campaigns can improve competitive advantage, foster customer loyalty, and drive sustainable business growth for logistics service providers like ABT Logistics.

Working capital represents a firm’s net investment in current assets necessary for daily business operations. It is formally calculated as the difference between current assets and current liabilities, indicating a company’s short-term financial health and operational efficiency. Also known as circulating capital, it constantly changes from within a business cycle. Working capital evaluation depends on factors such as business nature, seasonal fluctuations, production policies, market conditions, and supply chain dynamics. Metrics like the cash conversion cycle (CCC) and return on capital (ROC) help assess cash flow efficiency and cost-effectiveness. Proper management of working capital enhances firm value, reduces financial risk, and ensures smooth business operations.

The study aimed to analyse how Exide Industries’ extensive dealer network influenced its sales performance and customer behaviour. Data were collected from 150 dealers and customers across major regions using structured questionnaires and company sales records. The research adopted a mixed-method approach, combining quantitative statistical analysis with qualitative feedback interpretation. Descriptive and regression analyses were used to evaluate correlations between dealer coverage, sales growth, and customer satisfaction. The results revealed that a wider and well-managed dealer network significantly enhanced product availability, after-sales service efficiency, and customer loyalty, leading to higher sales volumes and repeat purchases. Regional disparities in dealer performance were also observed, suggesting the need for optimized training and resource allocation. The study concluded that strategic dealer management played a pivotal role in sustaining Exide’s competitive advantage in the battery market.

The study on Logistics KPI Analysis and Cost Forecasting at Dhanam Industries, Coimbatore, investigates the effectiveness of predictive analytics in optimizing transportation costs, improving delivery performance, and enhancing operational efficiency. It examines key logistics performance indicators such as transportation cost, fuel cost, shipment volume, route efficiency, and delivery performance that align operational activities with the company's strategic cost management objectives. Through a detailed analysis of 12 months of historical logistics data (July 2023 - June 2024) comprising approximately 200 shipments, the study applies statistical forecasting models including Holt-Winters Exponential Smoothing and SARIMA to predict future logistics costs. Key findings focus on identifying seasonal cost patterns, route-wise cost disparities, and the strong correlation between shipment volume and transportation expenses. The research proposes actionable strategies including dynamic route optimization, preventive maintenance programs, and digital dashboard implementation to drive cost efficiency and foster a data-driven logistics culture at Dhanam Industries.

Transportation plays a vital role in the logistics and supply chain operations of every manufacturing enterprise. It directly influences the cost structure, delivery efficiency, and overall competitiveness of the company. This study titled ―Transportation Cost Structure and Efficiency Analysis at Eapen Joseph and Co.‖ focuses on evaluating and analyzing the transportation costs associated with the company’s logistics operations. The study covers a one-year period from September 2024 to August 2025. The primary objective is to understand cost components, assess vehicle and route efficiency, and identify strategies to optimize cost performance. The analysis integrates both quantitative and qualitative research methods, using data collected through trip records, fuel logs, and interviews with logistics staff. The results reveal that kilometre cost and driver cost together contribute nearly 90% of the total expenditure, while operational efficiency can be improved through route planning and technology adoption.

Inventory management continues to be a strategic pillar of operational excellence and financial performance in the global supply chain environment.This study titled Enhancing Inventory Management Efficiency: An Analytical Study at Texcoms Worldwide‖ examines the current inventory control system of Texcoms Worldwide, a Coimbatore-based textile machinery trading firm. The primary aim is to assess the company’s efficiency in managing spare parts, accessories, machinery components, and refurbished machines, identify areas of inefficiency, and recommend data-driven strategies for improvement. The research adopts a descriptive and analytical design, relying entirely on secondary data derived from the company’s ERP system, financial reports, and industry benchmarks. Analytical tools such as ABC classification, inventory turnover ratio, cost structure analysis, and obsolescence review were applied to evaluate performance. The findings revealed a strong value concentration where 15% of SKUs represented 76% of total inventory value,

This study focuses on analyzing and comparing the profitability of four major service lines at SIDVI Core Tech Pvt. Ltd.—FPSO (Floating Production Storage and Offloading), FLNG (Floating Liquefied Natural Gas), TMS (Turret Mooring System), and Onshore & Process Plant. The research assesses financial performance through key metrics such as revenue, cost structure, gross profit margin, and net profit margin to identify highperforming and underperforming service lines. Using financial ratio analysis and comparative evaluation, the study reveals that FPSO is the most profitable service line, contributing significantly to overall revenue and net margin, while FLNG and Onshore & Process Plant show moderate returns, and TMS demonstrates scope for improvement. The study concludes with strategic recommendations to enhance underperforming divisions through cost optimization, improved employee utilization, and better resource allocation.

This study analyses the relationship between liquidity management and profitability at Sunraja Oil Industries Pvt. Ltd., a key regional player in India's competitive edible oil industry. Using an analytical research design based on financial data spanning 2020–2024, the study evaluates the company’s short-term solvency, operational efficiency, and capital management. The findings indicate that Sunraja has demonstrated inconsistent working capital management, with the Current Ratio frequently falling below the recommended industry benchmark of 2:1 during the study period. Specifically, liquidity pressure was noted in 2022 and 2024, attributed to rising trade payables, slower inventory turnover, and delayed customer receivables. A clear correlation was established: efficient working capital management directly correlates with improved profit margins, while weak liquidity control, driven by high raw material costs and slow receivable collections, inversely impacted the Net Profit Margin. Recommendations focus on implementing stricter credit control, utilizing modern inventory techniques (like EOQ/ABC analysis), and optimizing the payables strategy to improve cash conversion cycles and ensure sustained financial growth.

This study titled “Integrated Financial Performance Optimization for Salzer Electronics Ltd. through Cost Structure and Sales Trend Analysis” focuses on evaluating and optimizing the cost structure, analyzing sales trends and profit margins, and assessing the financial impact of customer segmentation. The research integrates financial and business analytics to provide data-driven
insights for performance enhancement in a competitive manufacturing environment. Using historical data from Salzer Electronics Ltd., the study applies descriptive and analytical research design to identify cost patterns, sales performance trends, and profitability variations across product categories and customer segments. Key findings reveal that specific product lines with high variable costs affect profitability, while certain customer segments demonstrate stronger financial returns. The research also emphasizes the predictive potential of sales trend analysis in forecasting revenue growth. Recommendations include adopting activity-based costing
(ABC), leveraging predictive analytics in Power BI for future sales forecasting, and restructuring customer segment strategies to optimize revenue. The study demonstrates that a data-integrated financial framework strengthens decision-making, enhances operational efficiency, and ensures This study titled “Integrated Financial Performance Optimization for Salzer Electronics Ltd. through Cost Structure and Sales Trend Analysis” focuses on evaluating and optimizing the cost structure, analyzing sales trends and profit
margins, and assessing the financial impact of customer segmentation. The research integrates financial and business analytics to provide data-driven insights for performance enhancement in a competitive manufacturing environment. Using historical data from Salzer Electronics Ltd., the study applies descriptive and analytical research design to identify cost patterns, sales performance trends, and profitability variations across product categories and customer segments. Key findings reveal that specific product
lines with high variable costs affect profitability, while certain customer segments demonstrate stronger financial returns. The research also emphasizes the predictive potential of sales trend analysis in forecasting revenue growth. Recommendations include adopting activity-based costing (ABC), leveraging predictive analytics in Power BI for future sales forecasting, and restructuring customer segment strategies to optimize revenue. The study demonstrates that a data-integrated financial framework strengthens decision-making, enhances operational efficiency, and ensures sustainable financial performance in the manufacturing sector.

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.

The rapid evolution of financial technology has transformed investment advisory services, shifting from traditional manual practices to automated, data-driven frameworks. This study aims to design and demonstrate an automated investor risk profiling and portfolio allocation framework at ITI Securities Broking Ltd., Coimbatore, using the Adaptive Hybrid Asset Allocation Model (AHAM). The model integrates Modern Portfolio Theory (MPT), Strategic Asset Allocation (SAA), and Monte Carlo Simulation to balance risk and return for investors across three risk categories—Conservative, Moderate,and Aggressive. The research, based on secondary data and analytical simulations, enhances advisory efficiency, regulatory compliance, and scalability. Findings show that automation reduces human bias, standardizes advisory services, and improves investor experience, paving the way for future robo-advisory integration within mid-sized brokerage firms.

The study examines the profitability performance and cost structure of VL Appliance India Pvt. Ltd., a Coimbatore-based manufacturer of kitchen and home appliances, over a five-year period Using ratio analysis, comparative statements, and trend analysis, the research identifies key trends in profitability, cost composition, and financial performance. The findings reveal significant improvements in gross profitability due to efficient production, countered by rising financial and employee costs that weaken net profitability and shareholder returns. The study concludes with recommendations for cost optimization, debt restructuring, and inventory management to enhance sustainable growth.

The company manages its accounts receivable to maintain liquidity, control credit risk, and enhance profitability. Using secondary data from audited financial statements, the study employs ratio analysis, trend analysis, and comparative analysis to evaluate key indicators such as receivable turnover, days sales outstanding, and liquidity ratios. The findings reveal that efficient receivable management contributes significantly to improved cash flow and profitability, whereas delays in collection adversely affect working capital and financial stability. The study concludes that adopting data-driven credit policies, digital invoicing, and proactive collection strategies can further strengthen liquidity and reduce financial risk.

The study on "The Impact of Emotional Intelligence in Enhancing Employee Engagement at Aruna Alloy Steels, Madurai explores the vital role of emotional intelligence (EI) in fostering a more motivated and committed workforce. Emotional intelligence, encompassing self-awareness, self-regulation, empathy, motivation, and social skills, is a crucial factor influencing how employees interact, perform, and respond to workplace challenges. This research examines the relationship between employees’ emotional intelligence and their level of engagement within the organization. Data collected from employees of Aruna Alloy Steels, Madurai, high lights how higher EI contributes to improved teamwork, job satisfaction, and organizational loyalty. The study reveals that emotionally intelligent employees tend to communicate effectively, manage stress better, and align more closely with organizational goals. Furthermore, leaders with strong EI positively influence the morale and engagement of their teams. The findings emphasize that developing emotional intelligence through training and supportive HR practices can significantly enhance engagement levels. Ultimately, the research underscores that emotional intelligence is not only a personal asset but also a strategic tool for organizational success.

The emergence of digital banking has transformed India’s financial landscape, reshaping the way banks operate and customers interact with financial institutions. This study analyzes the impact of digital banking adoption on the operational efficiency of the State Bank of India (SBI), focusing on the Singanallur Branch, Coimbatore. It examines how digital platforms such as YONO, Internet Banking, and Mobile Banking influence customer behavior, staff productivity, and branch workload. Using descriptive and analytical research designs, data were collected from 130 SBI customers through structured questionnaires. Statistical tools including Chi-Square, Correlation, and Multiple Linear Regression were applied using SPSS. Results reveal a strong association between digital banking usage and reduced branch dependency, while customer satisfaction is significantly influenced by time-saving, interface usability, and transaction reliability. The study concludes that digital transformation enhances operational efficiency but requires continued investment in technology, user education, and cybersecurity.

This study examines the strategic digital transformation initiative at Adithya Aqua Tech Solutions (AATS), a mid-sized Indian aqua-tech manufacturer, focusing on integrating its Tally accounting system with Amazon Web Services (AWS) cloud infrastructure. The primary goal was to bolster financial resilience the ability to withstand shocks and ensure continuity by modernizing finance operations. Quantitative analysis of financial statements (FY 2020–2024) reveals the profound impact of this integration. Post-cloud implementation, the Return on Capital Employed (ROCE) increased significantly from a low of 8.11% to 15.05%, and the Inventory Turnover Ratio (ITR) nearly quadrupled from 0.99 to 3.12 times, demonstrating superior operational efficiency and capital usage. Furthermore, the Cash Ratio, a key liquidity measure, rose from 0.13 to 0.51. Despite these massive efficiency gains, financial forecasting projects a massive Net Income Proxy loss (up to -₹2.05 Cr by 2026) if the current trend of Operating Expenses, particularly Salaries, continues to outpace relatively flat revenue growth. Key recommendations include implementing Zero-Based Budgeting (ZBB) to curb OpEx growth and strategically deploying strong current liquidity to finance high-return sales channels.

This study examines the adoption of telematics systems among leading commercial vehicle manufacturers in India, exploring drivers, implementation strategies, perceived benefits, and barriers to uptake. Drawing on a mixed-methods approach combining a survey of senior executives and product/manufacturing managers across major OEMs with semi-structured interviews and case studies of early adopters the research maps the current deployment landscape and strategic motives behind telematics integration. Key areas of investigation include technology readiness, product–service bundle design, regulatory and market influences, cost benefit perceptions, data-management practices, and partnerships with telematics service providers. However, adoption is uneven: small- and mid-sized OEMs face capital constraints, limited in-house analytics capability, and concerns about data ownership and cybersecurity. Market factors notably increasing demand from large fleet operators, rising fuel-cost sensitivities, and nascent regulatory emphasis on vehicle telematics are accelerating interest but not uniformly translating into full-scale integration.

This study focuses on analysing the working capital management of Lakshmi Mills Company Limited, Kovilpatti, a leading textile manufacturer in South India. The research aims to evaluate the efficiency of managing current assets and liabilities and their impact on the company’s liquidity and profitability. The study uses secondary data from annual reports and financial statements for a five-year period, employing tools such as ratio analysis, trend analysis, and comparative statements. Findings reveal fluctuating trends in liquidity ratios, with declining current and quick ratios indicating insufficient short-term solvency. The company shows moderate performance in inventory and asset turnover, but profitability ratios reflect a downward trend in recent years. The analysis highlights that improper control of receivables and high current liabilities have strained liquidity. However, efficient cash and inventory management during certain years improved operational performance. The study suggests adopting tighter credit policies, modernizing production processes, and enhancing financial planning for better working capital utilization. Overall, the research emphasizes that effective working capital management is essential for sustaining financial stability and ensuring long-term profitability in the textile sector.

This study examines the working capital management efficiency of Bannari Amman Food Products Pvt Ltd. for the period 2021–2025. It analyses key liquidity and efficiency ratios to assess the company’s ability to manage short-term assets and liabilities effectively. The findings reveal that the firm maintains good liquidity and operational efficiency, ensuring smooth cash flow and profitability. Overall, efficient working capital management has strengthened the company’s financial performance and growth in the food processing sector.

In today’s dynamic and competitive textile industry, employee satisfaction and work-life management play a vital role in enhancing productivity, reducing turnover, and fostering organizational sustainability. This study, conducted at Shree M.T.K Textiles (P) Ltd – Spinning Division, examines employee perceptions regarding job satisfaction, workplace environment, and work-life balance. The objective is to identify key factors influencing satisfaction and evaluate how effectively the organization supports its employees in managing professional and personal commitments. The findings aim to help management strengthen HR practices, improve employee welfare, and build a more engaging and productive workplace.