The primary challenge in inventory management is to strike a balance between maintaining optimal inventory levels to meet customer demand while minimizing holding costs. Traditional inventory management techniques often fall short of achieving this balance, leading to inefficiencies and increased costs for industrial organizations. The need for more efficient and effective inventory management solutions has led to the exploration of optimization algorithms, such as the Brute Force Algorithm, as a potential solution to this problem. To investigate the application of the Brute Force Algorithm in inventory management and control, a comprehensive review was conducted on Brute Force Algorithm optimization for warehouse layout, inventory replenishment, risk identification and opportunities, demand planning, inventory forecasting and recent trends. Information was gathered from online databases and relevant literature from library sources. Results of the study revealed that the Brute Force Algorithm can significantly improve inventory management and control in the manufacturing company. By optimizing the processes, this algorithm can reduce excess inventory levels and holding costs while ensuring that customer demand is met efficiently. The study further indicated that implementation of this algorithm could cause a reduction in stock-outs and backorders, improving overall customer satisfaction. The findings also suggested that the Brute Force Algorithm can be a valuable tool for industrial organizations looking to enhance their inventory management processes. By optimizing inventory levels through this algorithm, companies can achieve a better balance between supply and demand, leading to increased profitability and customer satisfaction.