为小微制造企业开发票和分析

M. Devi, A. Priya
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引用次数: 3

摘要

数据挖掘是计算机科学的一个跨学科分支领域。发票是卖方发给买方的商业单据。付款条件在发票上有说明。客户可以通过在线计费门户查看发票。本文的目标是为小微企业Sriram Industries和Sriram Wire Products创建商业智能解决方案。该软件包括三个模块:用户登录、公司简介、发票和分析。分析模块使用抽样算法生成给定序列度的随机图,发票模块根据公司定义的税务结构自动生成可打印的发票。本软件采用了J2EE平台、Spring MVC框架、Hibernate ORM、Jfree图表和文本PDF等开源技术,使企业能够负担得起。分析模块实现完整的商业智能,提供销售分析、发票状态、客户付款状态和商品分析等详细信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Invoicing and analytics for small and micro manufacturing enterprises
Data mining is an interdisciplinary subfield of computer science. Invoicing is a commercial document issued by the seller to the buyer. Payment terms are stated in the invoice. Customer can view the invoice through online billing portal. The objective of this paper is to create Business Intelligence Solution for Sriram Industries and Sriram Wire Products which is the small and the micro enterprise. The software includes three modules User login, Company profile, Invoicing and analytics. Sampling algorithm is used for generating the random graph with the given degree of sequence in the analytical module and the invoice module automatically creates a printable invoice for the company defined tax structure. The software is created by using the open source technologies like J2EE platform, Spring MVC framework, Hibernate ORM, Jfree chart and itext PDF to make affordable to the enterprises. Analytics module enables the complete business intelligence and provides the detailed information about the sales analytics, invoice status, customer's payment status and item analytics.
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