优信无限智慧食堂菜品画像数据集
收藏深圳市数据知识产权登记系统2025-07-19 更新2025-07-18 收录
下载链接:
https://sjdj.sist.org.cn/cqdjCms/detail/certdetail.html?id=7665cc1d-89cf-4c4c-b62c-355982369d1e
下载链接
链接失效反馈官方服务:
资源简介:
1)优化菜单设置:分析菜品画像数据,掌握菜品受欢迎程度、购买占比及营业额贡献等信息。食堂经营者据此保留热门菜品、淘汰销量不佳菜品,还能按不同性别顾客喜好调整,提高菜品吸引力和满意度。 2)精准菜品推荐:结合就餐者基础信息、历史消费及营养健康数据,利用机器学习算法构建智能推荐模型。依据菜品画像特征,为不同就餐者精准推荐符合口味偏好和营养需求的菜品。 3)食材采购管理:依据菜品销售情况,准确了解每餐菜品数量,反算食材用量,实现精细采购,避免食材浪费或短缺,降低损耗,控制成本。 营养健康管理:菜品画像含营养成分信息,智慧食堂可展示营养数据,在选餐终端实时显示所选菜品营养成分及占比,还能生成个性化饮食报告,提供膳食调整建议。 4)提升结算效率:基于菜品画像数据集,利用 AI 视觉识别技术,结算系统快速准确识别菜品类别、数量及价格,实现“秒级结算”,提高就餐效率,降低成本,减少错误纠纷。 5)反食品浪费:借助“菜品排行榜”和“菜品分析看板”调整菜单和供应量,通过智能排餐功能自动排餐,避免浪费,助力光盘行动。
1) Optimized Menu Setting: Analyze dish profile data to obtain information such as dish popularity, purchase proportion and turnover contribution. Canteen operators can retain popular dishes and eliminate underperforming ones based on such data, and adjust menus according to the taste preferences of customers of different genders, so as to enhance dish attractiveness and customer satisfaction. 2) Precise Dish Recommendation: Combine the basic information, historical consumption and nutritional health data of diners, and construct an intelligent recommendation model using machine learning algorithms. Based on the characteristics of dish profiles, accurately recommend dishes that match taste preferences and nutritional needs for different diners. 3) Ingredient Procurement Management: Based on dish sales conditions, accurately grasp the quantity of dishes served per meal, and reverse-calculate the required ingredient dosage to achieve precise procurement, avoid food waste or shortage, reduce spoilage and control costs. Nutritional Health Management: Dish profiles contain nutritional component information. Smart canteens can display nutritional data, and the meal selection terminal can show the nutritional components and their proportions of the selected dishes in real time, as well as generate personalized dietary reports and provide dietary adjustment suggestions. 4) Improved Settlement Efficiency: Based on the dish profile dataset, use AI visual recognition technology to enable the settlement system to quickly and accurately identify dish categories, quantities and prices, realizing "second-level settlement", which improves dining efficiency, reduces costs and minimizes erroneous disputes. 5) Anti-Food Waste: Adjust menus and supply quantities through the "Dish Ranking List" and "Dish Analysis Dashboard", and automatically arrange meals via the intelligent meal arrangement function to avoid waste, supporting the "Clear Your Plate" Campaign.
提供机构:
广东优信无限网络股份有限公司
创建时间:
2025-07-19
搜集汇总
数据集介绍

背景与挑战
背景概述
优信无限智慧食堂菜品画像数据集是一个包含菜品基本信息、销售数据、顾客评价和营养成分分析的综合数据集,旨在通过数据分析优化食堂运营和提升顾客就餐体验。数据集由广东优信无限网络股份有限公司自行产生,采用Xlsx格式存储,并通过严格的数据处理规则确保数据的完整性和准确性。
以上内容由遇见数据集搜集并总结生成



