Automobile accessory industry supply chain intelligent replenishment system and warehouse thereof

Abstract

The invention discloses an automobile accessory industry supply chain intelligent replenishment system and a warehouse thereof, which are used for carrying out unified systematic management on supplier files, material files, safety stock, sales prediction logic, transfer and collection plan logic and warehouse index monitoring related to intelligent replenishment in a supply chain. According to the automobile accessory industry supply chain intelligent replenishment system, a supply chain intelligent replenishment solution is provided, the supply chain demand plan making efficiency can be effectively improved, the granularity of a demand plan and a transfer plan is improved to SKU, the inventory turnover days of supply chain nodes are effectively reduced, and the stockout rate index is reduced; the workload of enterprise personnel is effectively reduced, and the error occurrence rate is reduced. Therefore, the supply chain management efficiency of an enterprise is improved, and the supply chain management cost of the enterprise is reduced. The sales prediction granularity is refined from the original three-level category to the SKU, automation from sales prediction to transfer mining is realized, and the working efficiency of supply chain planning personnel is improved.

Description

technical field [0001] The invention relates to the technical field of auto parts supply chain, in particular to an intelligent replenishment system and warehouse for the supply chain of the auto parts industry. Background technique [0002] The auto parts supply chain refers to integrating the auto parts resources of upstream brands and suppliers around the core enterprise (digital supply chain platform), and integrating the auto parts The resources are sent to the repair shop for car owners, and finally the repair shop uses its own maintenance and repair technology to serve the car owners. From brand owners, suppliers, digital supply chain platforms, carriers, auto repair shops to car owners, they form an integrated function The network chain structure and the response speed of an auto parts industry-level supply chain often directly determine the comprehensive strength and competitiveness of the enterprise and the industry. How to improve the synergy efficiency and benefi...

AI Technical Summary

Problems solved by technology

[0003] The current supply chain replenishment technology is complicated to use and maintain, and the cost is high. The supply chain replenishment demand plan and repurchase suggestions are calculated by supply chain planners based on EXCEL. Due to the large amount of data, complex algorithms, and low efficiency in the entire planning process, the period Long, time-consuming and labor-intensive, coarse granularity of demand planning: Moreover, the granularity of demand planning in the existing manual EXCEL method cannot reach the granularity of SKU, resulting in inaccurate supply chain demand planning, resulting in high inventory in the supply chain, while the out-of-stock rate is not high. Effective decline, the technical architecture of pure tools + reports has a limited effect on the actual value of the enterprise

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