优信无限智慧食堂客户画像数据集
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
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主要应用在企业食堂中精准营销,了解客户的年龄段分布等,便于食堂针对不同群体提供更适配的服务。统计每个月在食堂消费一至两次、三至八次等不同频次的人数,以此了解食堂的复购情况。还包含就餐时间,分析顾客喜欢在哪个时段来就餐,帮助食堂合理安排人力和菜品供应,应对就餐高峰。某道菜的购买占比高,说明其深受顾客喜爱,食堂可考虑增加供应或作为主打菜品。客户是否偏好高蛋白、低脂肪的菜品,是否有忌口食物等,为客户提供个性化营养建议和膳食方案。根据充值情况可以间接判断顾客的消费能力和就餐频率。可发现食堂运营过程中是否存在排队拥堵等问题,以便及时调整布局或优化服务流程,提升顾客就餐体验。 -个性化推荐:根据客户的历史点餐记录、口味偏好、消费频次等数据,为客户提供个性化的菜品推荐。例如,对于经常点辣味菜品的客户,推荐新推出的川湘风味菜品;对于偏好健康轻食的客户,推荐低卡路里的沙拉或蒸煮类菜品。 -优惠活动定向推送:依据客户的消费行为和偏好,有针对性地向客户推送优惠活动信息。如,对那些消费频次高但客单价较低的客户,推送满减优惠券;对于长期未消费的潜在流失客户,发送专属的复购优惠券或赠品券,吸引其再次到食堂消费。
This dataset is primarily used for precision marketing in enterprise canteens, aiming to understand the age distribution of customers so that the canteen can provide more tailored services for different groups. It counts the number of customers with varying consumption frequencies (such as 1 to 2 times, 3 to 8 times per month) to gain insights into the canteen's repurchase status. The dataset also includes dining time data, which is used to analyze the preferred dining time slots of customers, helping the canteen reasonably arrange manpower and dish supply to cope with peak dining periods. A dish with a high purchase share among all orders indicates that it is well-received by customers, and the canteen can consider increasing its supply or featuring it as a signature dish. Data regarding customers' preferences for high-protein, low-fat dishes and their dietary restrictions is also collected, to provide personalized nutrition advice and dietary plans for customers. Recharge records can indirectly reflect customers' consumption capacity and dining frequency. The dataset also helps detect issues such as queuing congestion during canteen operations, enabling timely adjustments to the venue layout or optimization of service processes to enhance customers' dining experience. - Personalized recommendation: Provide customers with personalized dish recommendations based on their historical order records, taste preferences, consumption frequency and other relevant data. For example, recommend newly launched Sichuan and Hunan style dishes to customers who frequently order spicy dishes; recommend low-calorie salads or steamed/boiled dishes to customers who prefer healthy light meals. - Targeted promotional delivery: Send targeted promotional information to customers based on their consumption behaviors and preferences. For instance, send full-reduction coupons to customers with high consumption frequency but low per-order spending; send exclusive repurchase coupons or gift vouchers to long-term inactive potential churned customers to incentivize their return to the canteen.
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
优信无限智慧食堂客户画像数据集是由广东优信无限网络股份有限公司申请的,包含客户群信息、消费行为、菜品偏好等多方面数据,用于精准营销和食堂运营优化。数据格式为Xlsx,处理规则涵盖数据获取、加工、存储和分析等步骤。
以上内容由遇见数据集搜集并总结生成




