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Built a predictive demand forecasting system to help organizations anticipate product demand using historical sales data, seasonal trends,
and external business factors.
The model provides accurate demand predictions that support inventory planning, supply chain optimization, and cost reduction.
This solution enables businesses to minimize stockouts, reduce excess inventory, and improve operational efficiency through predictive analytics.
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