Advanced ML demand forecasting across a national store network's inventory operations.
Inefficient inventory management causing frequent stockouts and overstock costs.
Implemented predictive demand forecasting system using advanced ML models.
Improved inventory accuracy by 90% and achieved a 15% reduction in supply chain overhead.
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