遇见数据集

Optimization of On-Time and Complete Deliveries in Logistics through Multi-Criteria Classification and Intelligent Cycle Counting with Machine Learning

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Mendeley Data2026-07-02 收录
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This dataset contains the anonymized transactional history and multi-criteria classification data (Average Daily Turnover, Unit Value, Annual Frequency, and Days with Available Stock) used to train a Machine Learning Decision Tree model for inventory optimization and Smart Cycle Counting.

创建时间:
2026-06-16
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