遇见数据集

F&B Menu Products, Pricing, Competing SKUs & Events

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Databricks2025-05-04 收录
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Learn more about this data on [catalog.dotlas.com](https://catalog.dotlas.com/restaurants/menus/) This is a snapshot dataset, which means menus can be captured on a periodic basis for markets on a subscription to measure price changes, new or retired items and more over time. This would involve an additional `timestamp` field to see menus as a time-series. There are multiple dataset samples in this share: ## 🍽️ Menu Data Consisting of brand level menus with share of outlets that have the item, as well as pricing, sections and descriptions. Can be enriched with product data and stock-keeping data through a monitoring solution. ## 📈 Menu Events If you're looking for a comprehensive changelog of menu events over time for a market, our Menu Events data product provides a real-time feed of menu modifications across restaurants. This specialized dataset tracks market movements in pricing, product availability, and menu composition on a high-frequency basis, maintaining a detailed record of all changes observed over time ## ⚔️ Menu Comparisons (Competing SKUs) Our proprietary AI algorithms search, discover and pre-index market menu products and item data to find top competing items by description, price, serving portions and more factors to deliver a truly reliable mapping of competitor items to track.

提供机构:
Dotlas
搜集汇总
数据集介绍
F&B Menu Products, Pricing, Competing SKUs & Events 数据集图片
背景与挑战
背景概述
该数据集为快照型餐饮菜单数据,可定期捕获以追踪价格变化和产品更新。它包含品牌级菜单信息、实时菜单事件记录,以及通过AI算法识别的竞争产品映射,用于分析市场动态和竞争情况。
以上内容由遇见数据集搜集并总结生成
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