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A CASE STUDY on AIR FLY AIRLINES Merger issues leading to failure of Industrial relations Critical Incidents - strikes, employee separation, Retrenchment Voluntary retirement and revenue losses. Major Stakeholders - Employer, Management, Trade Unions, Employees, Labour & Government Abstract With the transformations and gradual change in business environment, the Industrial Relation system has seen a vast change over a period of time, due to which, the role of employer and employees have become more tough and challenging. Of all the human resource management problems that have occurred in the Indian Airlines Industry in recent times, the problem of Industrial Relations is the most critical. The reason behind this is the fact that Industrial Relation deals with people who are foundation of the Industry. Their action or counter reaction matters a lot for the Industrial Harmony of the economy country. Harmonious Industrial Relations are pre-requisite for economic development of a country. Success and growth of the Airlines Industry depends on cordial relationship between the employers and the employees. The Objective of this case study is to examine the "Industrial Relations in Airlines Industry in India: "A Case Study of Air Fly Airlines". Research in this field can be of practical utility to all those involved in Industrial Relations scene like management, employees and the government. Success of the Airlines Industry depends on cordial relationship between the employers and the employees. This study assesses the state of Industrial Relations in the Airlines Industry and also identifies the factors that affect it. The case study also proposes to redefine the pattern of Industrial Relations in Airlines Industry by suggesting some changes in the role of various stakeholders such as employer, management, union and government. Introduction Indian industrial enterprises are hugely affected by disinvestments, privatization, restructuring and takeovers which,

Introduction The food industry digital transformation has become more dynamic than ever. With personalized offers to deliver quality on time, there are numerous factors under which, such as the food industry, digital transformation has to operate to stay ahead of the competition. They are under tremendous pressure to deliver quality products, reduce waste, and ensure seamless delivery while maintaining competitive pricing. To approach this holistically is very critical to the food industry. They help them drive informed decision-making across manufacturing, distribution, and retail operations. Data analytics has become a critical part of their daily operations to streamline their process and deliver a better customer experience, thereby increasing efficiency. This blog highlights how data is being leveraged and how food industry digital transformation across the board is optimizing workflows and boosting overall performance. Predictive analytics in the food industry : Enhancing Efficiency and Reducing Waste Manufacturing is the first step, involving processes like sourcing raw materials, packaging, and final product quality enhancement. All these processes require precision, and it is entirely about data. Predictive analytics in the food industry acts as a guide across every step of the manufacturing process by offering actionable insights into every step of the manufacturing process, allowing companies to fine-tune their operations. Predictive Maintenance and Equipment Efficiency Predictive analytics in the food industry are being used widely to detect anomalies in the manufacturing process. The devices are operated across set parameters. The data analytics monitors those parameters and identifies variations from the set values. Thus, it monitors anomalies, predicts the failure or parameter variation due to environmental or other issues, and helps the manufacturer produce the acutes of the original. This proactive approach minimizes downtime, reduces repair costs,

The digital transformation in the food industry is truly fascinating - the way data analytics is being used for everything from predictive maintenance to reducing waste is a game changer. It's amazing to see how tech is enhancing not just efficiency, but also the quality and sustainability of what ends up on our plates. For those interested in how this shift is impacting gluten-free food options and trends, check out https://glutenfreedine.com/ for more insights!

In the evolving landscape of e-commerce, businesses are constantly searching for ways to stand out, streamline operations, and cater to customers' ever-growing expectations. Shopify, one of the leading e-commerce platforms, has played a pivotal role in democratizing online selling for businesses of all sizes. However, with the rapid advancements in artificial intelligence (AI), Shopify stores are entering a new era. AI-Powered Personalization in E-Commerce is redefining how businesses operate by enhancing personalization and automating various tasks, creating a more efficient and customer-centric experience. In this blog, we'll explore how AI is transforming Shopify stores, from hyper-personalized customer interactions to seamless automation, ultimately reshaping the future of e-commerce. Importance of AI in Shopify Though AI is transforming numerous industries, e-commerce is one area where it is most noticeable. Recent research indicates that companies using AI-powered Personalization in e-commerce can increase their operational efficiency by as much as 40%. Shopify store owners are realizing the potential of artificial intelligence (AI) and are utilizing it to improve customer experiences, maximize marketing campaigns, and automate time-consuming processes to free up resources. The need for automation in managing different back-end operations and the growing desire for personalization are the driving forces behind the incorporation of AI-powered Personalization in e-commerce. Customers anticipate customized experiences from brands, whether in the form of dynamic pricing schemes, targeted advertising efforts, or individualized product suggestions. Conversely, business owners may handle high sales, inventory, and customer service volumes without the need for human interaction thanks to automation. Shopify's AI-powered personalization in E-commerce integration sectors for enhanced efficiency Platforms like Shopify are leveraging AI-powered Personalization in e-com

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Introduction Keeping legacy systems up-to-date is the critical challenge businesses face today. Businesses are finding a way to support innovation while maintaining the stability and reliability of the older systems. Many businesses choose not to modernize their legacy systems because they require significant investment, which can impede progress. Generative AI is being seen as the solution and its expanding capabilities to bridge the gap between legacy infrastructure and modern business demands. This blog explores how gen AI modernizes legacy system can deliver its capabilities to transform and modernize legacy systems-making them more flexible and adaptable to the needs of today's world without completely replacing them. Generative artificial intelligence (AI) is becoming an important tool in accelerating modernize legacy systems, from automating code modernization to improving data interoperability so the system becomes more robust. Understanding Legacy Systems To better understand how generative AI can modernize legacy systems, let's first explore the definition of a legacy system. Legacy systems refer to the software and hardware within an organization that houses the necessary information. Businesses run their core processes through legacy systems. Outdated technology: built using the platform and the technology that are old, now obsolete, or difficult to maintain. High maintenance costs: As the system and the technology are old-school, the cost of maintaining them is high as the experts who can get their hands on the system are less. Incompatibility with modern solutions: The integration of Legacy systems with other modern platforms is nearly impossible due to their lack of flexibility. Security risks: Older systems can't withstand modern security attacks, and they are prone to simple hacking. The data can't be lost, and at the same time, the system has to adapt itself to modern measures. Businesses are increasingly seeking solutions to modernize

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