This report presents the design of an inventory system for a company dealing with household and food items. The system incorporates key variables like product ID, purchase ID, and supplier ID to manage approximately 300 household items and 200 food items. It explores the application of data structures and algorithms for efficient operations, including ABC analysis, economic order quantity, and cross-docking. The report focuses on sorting algorithms (Quicksort) and searching algorithms (Binary Search) to optimize data handling. It also addresses system scalability and potential changes due to company mergers, ensuring the system can accommodate increased data volume and evolving business needs. The conclusion emphasizes the importance of appropriate technological tools and know-how to maximize profit within the business sector.
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