一种库存预测方法、装置、存储介质及电子设备
By combining historical demand data with multiple forecasting strategies and corrective parameters in equipment maintenance scenarios, the problem of poor regularity in material inventory planning was solved, resulting in more accurate inventory forecasting and cost control.
CN119850080BActive Publication Date: 2026-07-17BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
- Filing Date
- 2023-10-17
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies suffer from poor regularity in material inventory planning, resulting in low accuracy in inventory forecasting, inability to guarantee timely equipment maintenance, and high material costs.
Method used
By acquiring historical demand data for materials within a historical cycle, various candidate forecasting strategies are applied for forecasting processing to determine the target forecasting strategy. The initial replenishment data is then corrected using correction parameters to improve the accuracy of the target replenishment data.
Benefits of technology
It improved the accuracy of inventory forecasting, ensured the timeliness of equipment maintenance, and reduced material costs.
✦ Generated by Eureka AI based on patent content.
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Figure CN119850080B_ABST
Abstract
本发明公开了一种库存预测方法、装置、存储介质及电子设备。其中方法包括：获取历史周期内物料的历史需求数据；获取目标预测策略，基于所述目标预测策略对所述物料的历史需求数据进行预测处理，得到所述物料在预测周期的预测需求数据；基于所述物料的预测需求数据确定初始补货数据；基于所述历史周期的历史预测需求数据和实际需求数据确定纠正参数，基于所述纠正参数和所述初始补货数据确定目标补货数据。通过对物料在历史周期的历史需求数据进行预测处理，得到预测需求数据。在基于预测需求数据确定初始补货数据的情况下，通过设置纠正参数对初始补货数据进行纠正，提高目标补货数据的准确性。
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