Agricultural product inventory prediction method and system based on big data processing
By constructing the N-HiTS inventory model, the problems of sales period discrepancies and replenishment allocation deviations in agricultural product inventory forecasting were solved, achieving more accurate inventory forecasting and risk assessment.
CN122264701APending Publication Date: 2026-06-23BEIJING ZHENGHU TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING ZHENGHU TECHNOLOGY CO LTD
- Filing Date
- 2026-05-13
- Publication Date
- 2026-06-23
Smart Images
Figure CN122264701A_ABST
Abstract
The application discloses a kind of based on big data processing's agricultural product inventory prediction method and system, comprising the following steps: obtaining agricultural product inventory big data, executing data preprocessing, generate standard inventory data;Based on standard inventory data, generate salable life cycle data;Based on standard inventory data, generate restocking disturbance data;Based on standard inventory data and salable life cycle data, generate category substitution relationship matrix;Build inventory N-HITS model;Based on salable life cycle data, restocking disturbance data and category substitution relationship matrix, generate salable period inventory prediction component, restocking correction inventory prediction component and substitution relationship inventory prediction component;Based on salable period inventory prediction component, restocking correction inventory prediction component, substitution relationship inventory prediction component and standard inventory data, generate agricultural product inventory prediction result.The application improves inventory prediction accuracy, stability and risk judgment precision.
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