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Dynamic Inventory Optimization in E-Commerce

πŸ“Œ Overview

This project presents a case study on optimizing inventory management in e-commerce using algorithmic techniques.

The system addresses real-world challenges such as:

  • Stockouts
  • Overstocking
  • Order delays

🧠 Key Concept

The solution applies the 0/1 Knapsack Algorithm to select the most profitable set of products within warehouse capacity constraints.

βš™οΈ Approach

  • Demand Forecasting
  • Real-Time Inventory Tracking
  • Reorder Point Optimization

πŸ“Š Results

  • 90% reduction in stockouts
  • 30% lower storage costs
  • 50% faster order fulfillment

πŸ“„ Case Study Document

πŸ‘‰ View Full PDF

πŸ‘©β€πŸ’» Author

Reddy Chaithu Gaddam Sadhwika Murahari Sai Nitya Priya

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DAA case study on dynamic inventory optimization in e-commerce using the 0/1 Knapsack algorithm

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