Effective inventory management is crucial in manufacturing, where poor safety stock planning can lead to overstocking or stockouts—both harming profitability. Many firms hold up to 80% more safety stock than needed, tying up capital and reducing ROI. This whitepaper introduces a data science-based approach to optimize inventory, balancing cost and service levels. It highlights four improvement levers: shrinkage optimization, demand forecasting, ordering efficiency, and safety stock precision—each contributing to better financial performance, reduced waste, and enhanced operational resilience.

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