I have posted what I have thus far. Its is not all correct and needs to be rewritten. I post the draft and the grading rubic that has what is required to be on my paper. I have already found 6 articles but I do need 9 more I have to have 15 articles in total. The 15 pages cannot include the reference page and/or title page. Additional Service i 1-page abstract
Title: Examining the Impact of Artificial Intelligence on Supply Chain Management
Abstract:
This paper aims to analyze the impact of Artificial Intelligence (AI) on supply chain management. AI technologies, such as machine learning and natural language processing, have the potential to revolutionize supply chain operations by enhancing efficiency, accuracy, and decision-making capabilities. This study reviews academic literature on AI implementation in supply chain management and presents a comprehensive overview of its effects and implications. The research contributes to the existing body of knowledge by identifying key areas where AI can be utilized and highlighting potential challenges and opportunities in the adoption of AI technologies in supply chain management.
Introduction:
Supply chain management is a critical function for businesses that aims to effectively manage the flow of goods, information, and services from raw material suppliers to the end consumers. Over the years, advancements in technology have significantly impacted supply chain operations, leading to improved efficiency and effectiveness. One such technology that has gained considerable attention is Artificial Intelligence (AI).
AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans, enabling them to perform tasks that typically require human intelligence. The adoption of AI technologies in various industries has shown promising results in streamlining processes, minimizing costs, and enhancing decision-making capabilities. In the context of supply chain management, AI has the potential to revolutionize operations by automating routine tasks, predicting demand, optimizing inventory levels, and improving overall efficiency.
Objective:
The objective of this research is to examine the impact of AI on supply chain management. By reviewing academic literature and case studies, this study aims to provide a comprehensive analysis of how AI technologies can be implemented in supply chain operations. The research will explore the benefits, limitations, and potential challenges associated with the adoption of AI in supply chain management. Additionally, the study will investigate the role of AI in improving demand forecasting, inventory management, logistics, and customer relationship management within the supply chain.
Literature Review:
The literature review focuses on identifying and analyzing existing research on AI implementation in supply chain management. Various scholarly articles and industry reports will be examined to gain insights into the current state of AI adoption in supply chain operations. The review will address the following key themes:
1. AI technologies in demand forecasting: This section will explore how AI can enhance demand forecasting accuracy by analyzing vast amounts of data, identifying trends, and making accurate predictions. The review will highlight the different AI models and techniques that can be employed in demand forecasting, such as neural networks and machine learning algorithms.
2. AI in inventory management: This section will discuss the role of AI in optimizing inventory levels, improving supply chain visibility, and reducing stockouts. It will explore how AI can analyze historical data, market trends, and customer preferences to streamline inventory management processes and enhance inventory accuracy.
3. AI in logistics and transportation: This section will examine how AI technologies can improve route optimization, vehicle scheduling, and overall logistics efficiency. It will discuss how AI can automate processes, analyze real-time data, and predict potential disruptions or delays in transportation.
4. AI in customer relationship management: This section will explore how AI can be used to enhance customer relationship management within the supply chain. It will discuss the potential of AI technologies, such as chatbots and virtual assistants, to provide personalized customer experiences, resolve queries, and enhance customer satisfaction.
Methodology:
This research will employ a systematic literature review approach to gather and analyze relevant academic articles, industry reports, and case studies. The search will be conducted using reputable academic databases, such as Scopus and Google Scholar, using keywords related to AI and supply chain management. The inclusion criteria will focus on articles published in the last five years to ensure relevance and currency. Data extraction will involve categorizing the articles based on the identified key themes and summarizing key findings and insights.
Conclusion:
By examining the impact of AI on supply chain management, this research aims to provide valuable insights into the potential benefits and challenges associated with AI adoption. The study will contribute to the existing body of knowledge by presenting a comprehensive analysis of AI technologies in demand forecasting, inventory management, logistics, and customer relationship management within the supply chain. The findings will assist practitioners and decision-makers in understanding the implications of AI implementation and identifying areas where AI can be effectively utilized to enhance supply chain operations. Future research directions and potential limitations will also be discussed.