Perishables’ freshness is a dynamic state, which can be captured by statistical big data based on advanced product identification and sensory technologies. A time-based markdown strategy model is proposed to consider the markdown strategy in maximizing performance. The results showed that demand uncertainty would force them to implement a markdown strategy in advance, merchants’ profit and initial inventory are sensitive to the uncertainty and deterioration rate of perishable quality, and markdown time has a regulatory effect on initial inventory.

中文翻译：

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基于复杂数据分析动态质量评估的易腐品减价时间

易腐品的新鲜度是一种动态状态，可以通过基于高级产品识别和传感技术的统计大数据来捕获。提出了基于时间的降价策略模型，以考虑降价策略以最大化性能。结果表明，需求不确定性将迫使他们提前实施降价策略，商户的利润和初始库存对易腐烂质量的不确定性和恶化速度敏感，降价时间对初始库存具有调节作用。