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Item Optimizing Hub Operations through Artificial Intelligence(NHCE, 2025) Mohammmed Saheem V-1NH23BA086This report titled “Optimizing Hub Operations through Artificial Intelligence” provides a comprehensive overview of how Artificial Intelligence (AI) can revolutionize supply chain and logistics operations at the hub level, particularly within fast-paced quick-commerce ecosystems. The report is a result of my three- month hands-on internship experience as a Deputy Hub Manager at Zepto, a company renowned for its promise of 10-minute grocery deliveries. The objective of this project is to combine theoretical research on AI applications with practical insights from real-time operational exposure, thereby creating a roadmap for AIdriven efficiency in First Mile (in-store operations) and Last Mile (delivery) logistics. Context and Industry Landscape Zepto operates in the quick-commerce (Q-commerce) domain, a rapidly growing segment in the retail and e-commerce space, where the core offering is ultra-fast delivery of daily essentials. The success of this model hinges on the seamless integration of technology, manpower, and logistics at the micro- fulfillment hub level. With consumer expectations rising and competition intensifying, optimizing operations using intelligent systems has become not just a value-add, but a strategic imperative.Item GST and its Consequences on the Indian Textile Industry: An in-depth review(NHCE, 2025) Mohammed Yusuf-1NH23BA087The Goods and Services Tax (GST) in India on 1 July, 2017, was one of the record transformative transformations in the nation’s economic landscape. Positioned as a noteworthy leap toward unifying the complex tax edifice of the country, GST exchanged a host of indirect taxes that were formerly levied by mutually the central and state governments. The reform was not only meant to streamline taxation but also to improve transparency, eliminate cascading taxes, and enhance overall compliance. While GST has had far-reaching implications across industries, its impact on the textile sector—a cornerstone of India’s cultural and economic fabric—has been particularly noteworthy. The textile commerce in India is not just another economic sector; it is deeply woven into the social and historical narrative of the country. From ancient times, Indian textiles have been globally admired for their craftsmanship and diversity. Today, this industry involves a wide range of operations—from handloom and handicrafts to sophisticated textile mills and export- oriented garment units. It employs over 45 million people directly and another 60 million indirectly, making it the second-largest source of employment in India after agriculture. With such scale, any change in the policy environment, especially in taxation, directly affects a massive workforce and the livelihoods associated with it.Item A Study on The Consumer Behavior and Impulse Buying Patterns at Big Basket(NHCE, 2025) MOHAN.N-1NH23BA088In today’s fast-paced digital world, understanding how consumers behave—especially in the online grocery segment—has become more important than ever. This study takes a deep dive into consumer behavior and impulse buying patterns specifically within Big Basket, India’s leading online grocery platform. With the rise of e-commerce and changing lifestyles, customers are now more inclined toward convenience-driven shopping, and this shift has profoundly influenced their buying decisions. Big Basket, being a pioneer in the Indian e-grocery market, offers the perfect case to explore how digital touchpoints, user experience, promotions, and personal factors impact consumer decisions, particularly unplanned or impulse purchases. The project is driven by the need to decode the motivations behind why and how consumers make online purchases—especially those that are not pre-planned. It addresses a critical question in today’s marketing landscape: what encourages a customer to move from intention to action in an online cart, especially when it comes to buying groceries, which are often perceived as need-based items? The study sets out with clear objectives—to identify patterns in consumer behavior, examine the factors influencing impulse buying, and suggest strategies Big Basket could employ to enhance customer engagement and sales.Item Human Resources Analytics: A Systematic Review From A Sustainable Management(NHCE, 2025) MUNAGALA VINAY - 1NH23BA089The use of data analysis to improve decision-making, increase efficiency, and align with sustainability goals has revolutionized human resources practices, or HRA. The impact of HRA on sustainable management is highlighted as this systematic review follows its development starting in the early 2000s. Descriptive, predictive, and prescriptive analytics are just a few of the analytical techniques used by HRA to improve human capital management. In order to get insight into historical occurrences, HR first relied on descriptive analytics. But as more advanced techniques became necessary, predictive analytics was used, allowing HR specialists to anticipate future patterns and take preemptive measures. With this change, a culture of learning, creativity, and adaptation was fostered and the integration of sustainability into HR procedures got underway. Because predictive analytics in HRA analyzes data from multiple sources to comprehend employee preferences and behaviors, it has had a tremendous impact on both talent acquisition and retention. This methodical technique expedites the hiring process and guarantees that employee goals and organizational requirements are perfectly aligned. Performance management has also changed from old, subjective evaluations to continuous performance management tools. Data-driven assessments are made possible by these systems, allowing for customized development programs that match organizational strategy with individual goals. Utilizing sentiment analysis and social network analysis to anticipate possible burnout and proactively address issues, HRA also improves employee engagement by measuring aspects like work-life balance and job satisfaction.Item Optimizing Hub Operations through Artificial Intelligence(NHCE, 2025) Mohammmed Saheem V 1NH23BA086This report titled “Optimizing Hub Operations through Artificial Intelligence” provides a comprehensive overview of how Artificial Intelligence (AI) can revolutionize supply chain and logistics operations at the hub level, particularly within fast-paced quick-commerce ecosystems. The report is a result of my three- month hands-on internship experience as a Deputy Hub Manager at Zepto, a company renowned for its promise of 10-minute grocery deliveries. The objective of this project is to combine theoretical research on AI applications with practical insights from real-time operational exposure, thereby creating a roadmap for AIdriven efficiency in First Mile (in-store operations) and Last Mile (delivery) logistics. Context and Industry Landscape Zepto operates in the quick-commerce (Q-commerce) domain, a rapidly growing segment in the retail and e-commerce space, where the core offering is ultra-fast delivery of daily essentials. The success of this model hinges on the seamless integration of technology, manpower, and logistics at the micro- fulfillment hub level. With consumer expectations rising and competition intensifying, optimizing operations using intelligent systems has become not just a value-add, but a strategic imperative. During my internship, I was entrusted with responsibilities that spanned across both First Mile and Last Mile logistics. These experiences gave me in-depth exposure to operational complexities—ranging from inventory inaccuracies and rider management issues to order prioritization, real-time performance monitoring, and delivery delays. This executive summary outlines the core challenges faced in hub operations, the areas most suitable for AI adoption, and the expected improvements in performance, speed, and cost savings.Item Impact of Exchange Rate Fluctuations on Export-Oriented Industries(NHCE, 2025) MUTHUCHETTY RAJESH-1NH23BA090Exchange rates play a crucial role in international trade. When a domestic currency depreciates, buyers, potentially boosting demand. Conversely, an appreciation makes exports more expensive, reducing competitiveness in global markets. These fluctuations directly impact the profitability and planning of export-driven companies. export-oriented industries, emphasizing how currency volatility shapes their revenues, competitiveness, and strategic decisions. Exchange rates significantly influence international trade by affecting the price of exports in foreign markets. Generally makes exports attractive abroad, potentially increasing demand and boosting revenues when converted back to the home currency. Conversely, an appreciation makes exports costlier, reducing competitiveness and squeezing profit margins. The situation is often complex, as many export-focused industries also and components a weaker domestic currency raises these input costs, partially offsetting export benefits. Frequent exchange rate swings introduce uncertainty into cash flows, complicate pricing strategies, and may discourage long-term investment. To navigate these challenges, companies typically employ hedging instruments such as forward contracts and diversify their export markets to reduce dependency on any single currency. Industries like textiles, IT services, and pharmaceuticals, which have substantial export exposure, illustrate these dynamics vividly. Ultimately, the report concludes that robust risk management, strategic diversification, and sound financial planning are essential for sustaining volatility, while stabilize the external environment and enhance industry resilience.Item The Transformative Role of AI in Modern Recruitment: An In-Depth Analysis(NHCE, 2025) Mohammed Rayan Abdul Majid 1NH23BA085The talent acquisition landscape has undergone significant transformation in recent years. Fueled by rapid advancements in digital technology and automationMore and more businesses are using artificial intelligence. (AI) to enhance and streamline their hiring processes. This comprehensive project explores the pivotal role of AI in contemporary recruitment, its expanding influence on management of human resources, and the important need to find a balance between how well technology works and how well people can think for themselves. AI in recruitment involves deploying methods for machine learning and natural language processing (NLP), and sophisticated data analytics to execute tasks traditionally handled by HR professionals. These responsibilities include initial resume screening, matching candidates to job specifications, scheduling interviews, and even conducting preliminary assessments through video analysis. The primary objective is not to eliminate human interaction but to significantly improve the speed, precision, and overall effectiveness of recruitment decisions.Item Comparative effectiveness of active and passive investment strategies(NHCE, 2025) Mohammed Hisham 1NH23BA084This comprehensive study examines the comparative effectiveness of active and passive investment strategies through rigorous analysis of 50 mutual funds over a five-year period (2019-2023), incorporating performance data, cost structures, and behavioral insights from 500 investor surveys. The research addresses the fundamental question of whether active management's potential for outperformance justifies its higher costs and increased complexity compared to passive investing's systematic market exposure approach. The analysis reveals a nuanced investment landscape where passive strategies demonstrate clear superiority in risk-adjusted, after-cost returns for most investors over extended time horizons. While active funds generated marginally higher gross returns averaging 12.4% compared to 11.8% for passive funds, this 0.6 percentage point advantage becomes meaningless when adjusted for risk and costs. Passive funds achieved superior Sharpe ratios of 1.12 versus 0.84 for active funds, indicating better risk-adjusted performance. Most significantly, the substantial cost differential—active funds averaging 1.75% expense ratios compared to 0.30% for passive funds—creates a compounding disadvantage that dramatically impacts long-term wealth accumulation.Item The Digital Transformation of Commerce(NHCE, 2025) N SATHYA NARAYANA -1NH23BA091The digital transformation of commerce has fundamentally altered the landscape of consumer behavior and marketing strategies, with influencer marketing emerging as a pivotal force in shaping purchase decisions within e-commerce platforms. This research investigates the complex rapport between influencer marketing initiatives and their bearing on consumer trust and purchase decisions in the rapidly evolving e-commerce environment. The study addresses a critical gap in understanding how digital influencers serve as intermediaries between brands and consumers, particularly in edifice trust and facilitating purchase decisions in online marketplaces where traditional face-to-face interactions are absent. The background of this study is rooted in the exponential growth of both the influencer marketing industry, valued at over $16 billion globally, and the e-commerce sector, which has experienced unprecedented expansion particularly following the COVID-19 pandemic. The convergence of these two powerful forces has created new paradigms of consumer engagement, where authentic voices and peer sanctions carry weight than traditional advertising methods. The research recognizes that modern consumers, especially younger demographics, increasingly rely on social media influencers for product discovery, evaluation, and purchase validation, making it essential to understand the apparatuses through which these digital relationships influence buying behavior.Item Inventory accuracy and its impact on operational efficiency in quick-commerce, With reference to zepto(NHCE, 2025) Mohammed Arif 1NH23BA083This chapter introduces the research topic, focusing on the significance of inventory accuracy in the rapidly growing quick-commerce sector. It outlines the background, need, objectives, and scope of the study with a specific reference to Zepto. The chapter sets the foundation for understanding how accurate inventory systems impact operational efficiency in real-time delivery environments.Item Study on Digital Marketing Strategies of Amazon(NHCE, 2025) Nandhini Shree.R-1NH23BA092Amazon, the world’s largest e-commerce platform, has revolutionized the way people shop and interact with digital platforms. Its success is not solely rooted in its product range or pricing but is deeply driven by its robust and innovative digital marketing strategies. This study aims to analyze and understand the various digital marketing approaches employed by Amazon, how they contribute to customer acquisition, retention, and brand loyalty, and how these strategies position Amazon as a market leader in the digital commerce space. The research provides insights into the techniques Amazon uses to engage customers effectively and how these strategies are continuously optimized to meet changing consumer behavior and technological trends. At the heart of Amazon’s digital marketing strategy is a customer-centric philosophy. Amazon uses data-driven marketing methods, leveraging vast amounts of customer data to personalize user experiences. The platform's algorithms analyze browsing history, past purchases, product preferences, and reviews to tailor search results and product recommendations for individual users. This personalization extends to email marketing, push notifications, and website interfaces, ensuring customers feel understood and valued. The result is a high level of user engagement and conversion, driven by a sense of convenience and relevance in the shopping experience.Item A Study On Portfolio Management Strategies For Retail Investors(NHCE, 2025) Meda Maneesha 1NH23BA082The Indian financial markets have witnessed an unprecedented transformation in retail investor participation concluded the past decade, with the number of demat accounts surging from approximately 2 crores in 2014 to over 8 crores by 2024. This remarkable growth, accelerated by the COVID-19 pandemic and the digitization of financial services, has fundamentally altered the investment landscape and created new challenges and opportunities for individual investors. The democratization of market access through platforms like Zerodha, Groww, and Upstox, combined with the proliferation of mutual funds, ETFs, and systematic investment plans, has empowered millions of retail investors to participate directly in wealth creation through equity markets. However, this unprecedented access has also exposed the critical gap between theoretical portfolio management principles and their practical implementation among small investors with limited capital, knowledge, and experience. This thorough investigation, "A Study on Portfolio Management Strategies for Retail Investors," tackles the pressing need to comprehend and assess the efficacy of several portfolio management techniques that are especially suited to the particular situation of Indian retail investors. While extensive academic literature exists on portfolio optimization and asset allocation, most research focuses on institutional investors or high-net-worth individuals with substantial resources and professional management support. The distinct challenges faced by retail investors—including limited capital for diversification, proportionally higher transaction costs, behavioural biases amplified by emotional decision-making, and lack of sophisticated analytical tools—require specialized research and tailored solutions that existing literature inadequately addresses.Item Blockchain technology and Decentralized Finance are revolutionizing financial systems.(NHCE, 2025) Manu Bhargav Lc 1NH23BA081Over the past decade, the global financial ecosystem has witnessed important transformations catalyzed by digital technologies.One of the deepest innovations in this field is blockchain technology, which underlies a wide range of applications, especially in the financial sector. In addition to blockchain, there has been a new disruptive move to replicate and improve traditional financial services using decentralized protocols. Together, blockchain and challenges change the fundamental principles of trust, transparency and mediation in the financial system. Historically, financial services were primarily based on centralized authorities such as banks, governments, compensation, and intermediaries, and fulfilled transaction, file management and contractual obligations. Important role in the global economy, they often suffer from restrictions such as high transaction costs, limited availability, bureaucratic inefficiency, and vulnerability to corruption or refusal to unity. Moreover, billions of people around the world remain either not significant or inadequate because traditional institutions cannot cover distant or inadequate regions. The advent of blockchain technology, introduced worldwide via Bitcoin in 2009, proposed a new paradigm of digital transaction without the need for a centralized oversight. Blockchains, including the exchange rate of memos (P2P) with encryption security and distributed consensus, represent the foundations of transparency, security and protection. This allows us to record transactions in a decentralized network, considering reducing dependence on confidence intermediates. Based on blockchain-based distributed finance (DEFI), it has transformed into a trusted ecosystem of financial applications that use intellectual contracts for blockchains such as Ethereum to automate and promote financial services. These include lending, borrowing, trade, insurance and asset management, which are carried out without traditional gatekeepers.Item Role of AI in Sports Analytics(NHCE, 2025) NAVEEN PRABHAKAR-1NH23BA093One of the most revolutionary technological developments in contemporary athletics is the nexus between artificial intelligence and sports analytics. Rural India presents a distinct and largely untested environment for this technological integration, despite urban areas and professional sports organizations having quickly adopted AI-driven data to enhance performance, strategic decision-making, and fan engagement. In rural Indian villages, where traditional sports culture collides with new digital infrastructure, this dissertation examines the potential role, challenges, and prospects of utilizing AI-powered sports analytics. About 65% of India's population lives in rural areas, which boast a rich sporting legacy rooted in regional customs, community participation, and the nurturing of local talent. However, access to advanced sports science and analytics technologies varies greatly between urban and rural areas due to the digital divide. This study addresses an important knowledge gap regarding how AI could be used to enhance sports development, talent identification, and performance improvement in resource-limited rural regions.Item A study on impact of compensation strategies on employee performance(NHCE, 2025) Mansi k Pokar 1NH23BA080In today's competitive business environment, organizations are increasingly recognizing compensation as a critical strategic tool that goes beyond mere cost management to become a driver of employee engagement, retention, and performance. The relationship between compensation strategies and employee performance has emerged as a pivotal area of study in human resource management, as companies strive to optimize their investment in human capital while achieving sustainable organizational growth. This comprehensive research investigates the intricate relationship between compensation strategies and employee performance within the contemporary organizational framework. The study examines both monetary and non-monetary compensation elements, analysing their individual and collective impact on employee motivation, productivity, and overall organizational effectiveness. Through a systematic approach combining theoretical frameworks with empirical analysis, this research aims to provide actionable insights for HR practitioners and organizational leaders.Item Analyzing Credit Risk Models in The Digital Lending Era(NHCE, 2025) NAVILASH R 1NH23BA094In the evolving landscape of financial services, the adoption of digital technologies has significantly reshaped the way credit is delivered and managed. One of the most notable transformations has been the emergence and rapid growth of digital lending platforms. These platforms leverage advancements in data analytics, mobile connectivity, and artificial intelligence to provide borrowers with quick and seamless access to credit—often without relying on traditional banking channels. While this development has improved financial inclusion and customer reach, it also introduces new complexities, especially in the area of credit risk assessment. The primary aim of this study is to assess how effective various credit risk assessment models are—ranging from traditional statistical methods to modern machine learning algorithms—within the unique context of digital lending. A key focus is on how alternative data sources, such as behavioral and mobile usage data, can enhance credit risk evaluation, particularly for borrowers lacking conventional credit histories. Insights gained during the research serve as a foundation for evaluating the adaptability and reliability of different modeling techniques in today’s dynamic financial environment. Project Purpose The main objective of this research is to evaluate the accuracy, feasibility, and real-world application of different credit risk models in digital lending . digital lenders increasingly catering to underserved and first-time borrowers, there is a growing need for innovative risk assessment approaches.Item Fintech and the future of finance(NHCE, 2025) Manjunath k 1NH23BA079FinTech's simplified financial transactions help consumers and companies both by making them easier and less expensive to use. This category could also include companies and services that employ encrypted technology, big data, and artificial intelligence to allow secure internal network transactions. Financial technology basically makes transactions simpler by eliminating unnecessary processes nobody needs. One example is the ease of mobile payment methods like Google Pay or Paytm, which let you transfer funds to another person's bank account whenever you wish, day or night. But the receiver would need to go to the bank to deposit the money if you preferred to pay with a check or cash. This study aims mostly to explore how financial institutions' adoption of financial technology (FinTech) has greatly affected the banking industry. Using the measurement of the CAMEL assessing tool, this study investigates the link between FinTech and financial stability as well as text-mining analysis on the financial statements of 48 European corporate banks from 2015 to 2024 to ascertain the extent of FinTech each financial institution possesses. The study shows that bank FinTech is positively associated with a number of variables including capital sufficient, asset quality, management performance, potential profitability, and liquidity. Banks as a whole might profit from the use of bank FinTech. This study produces the very first bank FinTech index for European commercial banks by means of text-mining techniques. Using the CAMEL framework, this index is created.Item Impact of Influencer Marketing on Consumer Buying Behaviour: A Study of Gen Z Consumers in the Indian Fashion Retail Sector(NHCE, 2025) Navin T -1NH23BA095Amid India’s rapid digitalisation, influencer marketing has become a cornerstone for fashion retailers targeting Generation Z (born 1997-2012), a 27 % slice of the population that discovers, assesses and buys apparel largely through social media. To gauge how this tactic shapes purchasing, a survey of 400 urban Gen Z shoppers (aged 18-25) from Mumbai, Delhi, Bengaluru, Chennai and Hyderabad measured perceptions of influencer credibility, content quality and cultural resonance, alongside their social-platform habits and recent fashion spend. Statistical analysis shows a strong positive link between influencer exposure and buying: 78 % say they are likelier to purchase when the recommender feels genuine and relatable, while visually rich styling demos outperform generic promotions. Instagram dominates early-stage discovery and inspiration, whereas YouTube excels for deeper reviews and how-to tutorials. Cultural alignment matters: posts that weave Indian fashion sensibilities and vernacular cues drive higher engagement. Micro-influencers (10 k–100 k followers) consistently outperform mega-influencers on comment relevance, response rates and conversion, with 65 % of respondents preferring their advice; engagement quality, not raw reach, is the best predictor of campaign success. For retailers, the study recommends data-driven influencer selection based on audience overlap and authentic interaction, building long-term partnerships that grant creators creative freedom to showcase product versatility, and curating a diverse influencer portfolio spanning styles, price tiers and regions to maximise appeal. Success metrics should balance quantitative indicators such as reach and engagement with qualitative shifts in sentiment and brand perception. Overall, the findings confirm that when executed with authenticity, cultural sensitivity and analytic rigour, influencer marketing offers Indian fashion retailers a powerful, sustainable lever for converting Gen Z attention into sales and long-term brand equity.Item Impact Of Ai On Talent Acquisition And Recruitment Processes(NHCE, 2025) Mamathasree.K 1NH23BA078The amalgamation of artificial intelligence in talent acquisition and recruitment processes represents a transformative shift in human possessions management, fundamentally altering how organizations identify, attract, and hire talent. This comprehensive analysis examines the multifaceted impact of AI know-hows on recruitment practices, revealing both significant opportunities and challenges that organizations must circumnavigate in the evolving digital landscape. AI has transfigured recruitment efficiency through automated resume screening, intelligent candidate matching, and predictive analytics. Machine learning systems can process thousands of applications within minutes, identifying qualified candidates based on sophisticated pattern recognition that goes beyond traditional keyword matching. Natural language processing enables AI systems to understand context, skills transferability, and cultural fit indicators, significantly reducing time-to-hire from weeks to days. Chatbots and virtual assistants have enhanced candidate experience by providing 24/7 engagement, answering queries, scheduling interviews, and maintaining consistent communication throughout the recruitment journey. The technology's predictive capabilities have proven particularly valuable in improving hiring quality. AI-driven assessments analyze communication patterns, problem-solving approaches, and behavioral indicators to predict job performance and retention likelihood. Video interviewing platforms utilize sentiment analysis and facial recognition to evaluate candidate responses, providing recruiters with data-driven insights that complement traditional evaluation methods. These innovations have resulted in measurable improvements in hiring accuracy, with organizations reporting 25-40% reduction in mis-hires and improved employee retention rates.Item Working Capital Management that Impacts on Profitability(NHCE, 2025) Mallesh M 1NH23BA077This learning examines the important idea of capital management and its impact on the financial strength and operational efficiency of Fashion and Retail Limited (ABFRL), a leading player in India’s fashion retail industry. In today’s fast-paced and competitive environment, is crucial, not just in terms of numbers, but also in ensuring that the business has the flexibility to respond to both challenges and opportunities. For a business like ABFRL, which operates thousands of outlets and manages a vast inventory, actual capital management is vital for business success. The research explores the key mechanisms of receivables, and payables, and evaluates how ABFRL manages these aspects in practice. By using ratio analysis and comparative financial statements over five years (2019–2024), we gain insight into how the business’s capital position has evolved. The findings indicate that ABFRL has experienced notable growth in current assets and inventory. However, the business is also increasing debt and pressure on liquidity, which is particularly evident in the lower quick ratio and rising interest costs.