摘要
在如今"互联网+"时代,餐饮业呈智能化发展趋势。系统根据餐饮连锁企业在经营过程中产生的历史数据,包含营业额、菜品销量、菜品组成、物资在各菜品中的比例等,利用大数据技术,分析、预测、计算出各物资的每日销量,确定每天解冻物资的需求量,提前解冻,保证服务质量的同时,节约企业成本,提升经营效率,提高市场竞争力。
In today＇s ＂Interact ＋ ＂era, the catering industry showed Intelligent trend. According to historical data produced by the catering chain enterprises in the course of business, including turnover, food sales, food composition, the proportion of material in various dishes, the system Calculate the daily sales of various materials using big data technology analysis and forecasting, and determine the daily demand for unfrozen materials, so that it can ensure the quality of service ,saving enterprise cost, improving operation efficiency and improving market competitiveness.
作者
刘群
徐秀芳
刘振海
徐森
盛辉
LIU Qun;XU Xiu-fang;LIU Zheng-hai;XU Shen;SHENG Hui(College of Information Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224051,China;The blue whale network technology,Nanjing,Jiangsu 224051,China)
出处
《科技视界》
2018年第23期79-81,共3页
Science & Technology Vision
关键词
餐饮连锁
菜品
数据分析
销量
解冻物资
Catering chain
Dishes
Data Analysis
Sales
Thawing materials
