Evaluating the Adoption of Machine Learning for Inventory Management in Manufacturing Enterprises of an Emerging Economy

Key Points

• To evaluate how machine learning can enhance inventory management practices in manufacturing enterprises of an emerging economy.
• Assessment of current inventory management practices
• Implementation of machine learning algorithms
• Data collection from manufacturing enterprises
• Analysis of efficiency metrics before and after implementation
• Improved inventory accuracy with machine learning
• Reduction in stockouts by significant margins
• Increased efficiency in inventory turnover
• Positive feedback from manufacturing teams on user experience

Abstract