平台会员使用必胜客点餐省钱数据集

建立完整的消费价值计算体系：
省钱基准定义
以必胜客门店菜单价作为计算基准
包含套餐、单品、小食等全品类商品
考虑不同门店的价格一致性
省钱金额计算模型
单次节省金额 = 门店标价 - 平台实付价格
累计节省金额 = ∑所有必胜客订单节省金额
节省率 = 节省金额 / 门店标价
数据追踪维度
消费时间分布：午餐、晚餐、下午茶时段
订单类型：堂食、自取
商品偏好：披萨品类、小食、饮品搭配

Establish a complete consumer value calculation system:
1. Definition of Cost-saving Benchmark
- Take the menu prices of physical Pizza Hut stores as the calculation benchmark
- Cover all product categories including combo meals, individual items, snacks and other items
- Consider the price consistency across different stores
2. Cost-saving Amount Calculation Model
- Single-time Savings Amount = Store Listed Price - Actual Payment Price on the Platform
- Cumulative Savings Amount = ∑ Savings Amount of All Pizza Hut Orders
- Savings Rate = Savings Amount / Store Listed Price
3. Data Tracking Dimensions
- Consumption Time Distribution: Lunch, Dinner, Afternoon Tea time slots
- Order Type: Dine-in, Pick-up
- Product Preference: Pizza categories, Snacks, Beverage Combinations

搜集汇总

背景与挑战

背景概述

该数据集由贵州品知科技有限责任公司申请，规模为8.13GB，每日更新，专注于必胜客点餐消费数据。其主要特点是通过计算会员节省金额，强化消费粘性和个性化推荐，应用场景包括会员心智建设和价值提升，基于门店标价与平台实付的差值模型进行量化分析。