AGM Network implements stock optimization including safety stock calculation, service level optimization, demand variability analysis, lead time analysis, reorder point optimization, and economic order quantity (EOQ) for inventory balance with reduced carrying costs while maintaining target service levels.
Stock optimization provides safety stock modeling (standard deviation, MAD, service level factor), demand variability analysis, lead time variability, forecast accuracy impact, ABC segmentation for differentiated service levels, multi-echelon inventory optimization (MEIO), stochastic modeling, simulation, reorder point (ROP) calculation, and inventory policy optimization for cost-effective inventory. AGM Network implements stock optimization with optimization tools (Blue Yonder, o9 Solutions, ToolsGroup, Logility, Kinaxis) and ERP integration.
Our stock optimization approach includes demand pattern analysis, service level definition by product segment, total cost of inventory (holding, ordering, stockout), policy simulation, continuous monitoring, and exception management. We optimize stock for manufacturing, distribution, retail, spare parts, and multi-echelon networks with 15-30% inventory reduction while maintaining or improving service levels.
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