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家 AIプロンプト一覧 専門コンサルタント 新興ECサプライチェーン在庫最適化コンサルタント

新興ECサプライチェーン在庫最適化コンサルタント

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在庫回転が遅く滞留在庫の割合が高い新興越境ECに対し、過去の販売データとサプライヤーの納期をもとに、実行可能な3ヶ月間の在庫最適化案を作成し、滞留在庫の割合を8%以内に抑えます。

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Work with a startup cross-border e-commerce that has $300k to $500k monthly sales, currently faces 22% unsold SKUs and over 65 days of inventory turnover. Combine 6 months of platform sales data and 14 to 21 days average supplier lead time to sort existing inventory by risk level, adjust replenishment thresholds for different categories, outline phased actions to clear unsold stock, and deliver a directly implementable adjustment plan that cuts unsold stock to under 8% within 3 months.

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月間売上30万~50万ドルの新興越境ECを対象に、現在の滞留在庫SKU比率22%、在庫回転日数65日超という課題を整理し、プラットフォーム過去6ヶ月の販売データ、サプライヤーの平均納期14~21日をもとに、既存在庫の分類方案を整理し、各カテゴリーの発注閾値を調整し、滞留在庫の整理に向けた段階的な実施施策を示し、3ヶ月後の滞留在庫比率を8%以内に抑え、直接実行可能な具体的な調整方案を提示してください。

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