A detailed Analysis of Use of AI in Inventory Management for technically better management

The proposed research explores the potential impact of Artificial Intelligence (AI) on inventory management practices and their effect on organizational profitability. The study evaluates various AI techniques such as predictive analytics, machine learning, and computer vision and their role in reducing stock levels, improving demand forecasting accuracy, and reducing stock-out incidents. The results of the research indicate that AI adoption in inventory management has the potential to significantly enhance profitability. The paper provides valuable insights for organizations looking to implement AI in their inventory management processes, highlighting the benefits and limitations of such adoption. The research underscores the significance of utilizing AI in inventory management to achieve increased profitability and offers a strong case for its adoption in modern business practices.