系统库存管理的熟练流程

Rahil Sheth, Mukund Vora, Rohit Sharma, Mohit Thaker, P. Bhavathankar
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引用次数: 0

摘要

拟议的系统管理组织的库存,并帮助他们更好地分析与货物储存和销售有关的数据,从而从中产生相关的见解。通过适当的技术利用,系统可以存储和更新库存的详细信息,库存维护,并以各种可视化图表的形式生成每日,每周或每月的销售报表。它建议通过记录不同品牌和类别的产品库存信息,形成一个存储数据的系统。系统可以识别输入设备、锁框、计算设备、数据存储、门户网站或应用程序的需求,为高效的仓库和库存管理提供全方位的环境。还需要internet连接或分布式网络将门户和应用程序连接到计算设备和数据存储。该系统提供了一种方法,该方法将使用数据分析的概念来提供有关最畅销,最赚钱和最沉闷的股票的信息。该系统通过多种数据分析算法,如回归模型、市场篮子分析和其他机器学习技术,帮助库存管理人员优化其功能,为他们的需求提供全面的解决方案。
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A Proficient Process for Systematic Inventory Management
The proposed system manages the stocks of organizations and helps them to better analyze the data pertaining to the storage and sales of goods to generate relevant insights from it. With the proper utilization of technology, the system can be used to store and update the details of the inventory, stock maintenance, and generate sales reports daily, weekly or monthly in the form of various visualization charts. It proposes the formation of a system for storing the data by recording the information regarding the stocks of products identified by various brands and categories. The system identifies a need to require an input device, a locked enclosure, a computing device, a data store, and a portal site or an application for providing an all-round environment for efficient warehouse and inventory management. An internet connection or a distributed network connects the portal and application to the computing device and the data store is also required. The system provides a method that will use the concept of data analysis to give information about the most selling, profitable and dull stocks. This system thus helps the inventory managers to optimize their functioning with several data analytics algorithms such as regression modeling, market basket analysis, and other machine learning techniques to provide an all-round solution to their needs.
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