Inventory optimization control method and system suitable for automobile after-sales accessories

Abstract

The invention provides an inventory optimization control system and method suitable for automobile after-sales accessories, and the method comprises the steps: obtaining data of dealers, suppliers andaccessories to acquire the vehicle retention data and accessory sales summary data of different ages; obtaining engineering information of the accessory; establishing a prediction management model for the accessory sales through a parallel computing method according to the vehicle ownership data of sub-vehicles, the accessory sales summary data and the engineering information of the accessories,and predicting the accessory sales; making a preset strategy for the specified accessories, and predicting sales data of each accessory according to the prediction management model to calculate an accessory inventory strategy; calculating an order strategy for each logistics node in a timed task mode according to the accessory inventory strategy; according to the invention, automatic demand prediction and prediction model parameter optimization capabilities of after-sales accessories are realized, and an after-sales department is helped to save a large amount of follow-up processing time of invalid information.

Description

technical field [0001] The invention relates to the field of aftermarket parts supply chain in the automobile industry, in particular to a method and system for inventory optimization control suitable for aftermarket parts of automobiles. Background technique [0002] As the growth rate of vehicle sales in China slows down, the market has entered the stock market. At the same time, as the profit of vehicle sales decreases year by year, for OEMs and various after-sales service agencies, the proportion of revenue brought by after-sales accessories and related services to their total revenue has increased year by year, and after-sales business has received more and more attention. Compared with vehicle sales, after-sales business management is extensive, especially after-sales parts supply chain management. Inefficient management cannot make the original huge after-sales market reach the expected profit. The problem is mainly manifested in the following aspects: [0003] 1) ...

AI Technical Summary

Problems solved by technology

[0003] 1) There is a lack of professional after-sales supply chain management tools. Dealers usually use the attached sub-modules of the DMS system, and most OEMs rely on some sub-functions of ERP. These cannot fully support the business needs of the after-sales supply chain

After-sales supply chain management mainly relies on senior engineers to obtain data through various data reports and make decisions based on it, and the processing efficiency is relatively low

[0004] 2) Due to the large amount of spare parts data, there are few spare parts that can be managed leanly. For example, after sales of a certain brand, its effective spare parts catalog is more than 200,000 kinds, and a 4S store has access to more than 30,000 kinds of spare parts every year. The after-sales parts manager handles more than 1,000 kinds of parts every week. In general, dealers can only effectively manage 10-20% of the types, and the scope of lean management of OEMs only accounts for about 40%

Mainly rely on regular audits and report analysis to discover risks and problems, lacking risk control capabilities

[0005] 3) Similar management software products are mainly suitable for fast-selling or electronic products, and are not suitable for the management needs of a single component for 10 years and huge differences in various categories after sales of automobiles

It can solve the adverse effects of small samples, poor information, complex and unclear system transfer function on the reliability evaluation of vehicle design in the process of vehicle durability test. It is more suitable for quality estimation in the research and development stage, not suitable for automotive After sales field

Images