Food Delivery ETAs & Fees by Area

> Learn more about this dataset on [catalog.dotlas.com](https://catalog.dotlas.com/restaurants/delivery_times/)

## Overview

This dataset provides estimated delivery times (ETAs) and delivery fees for all restaurants across different neighborhoods and cities, sourced from public-facing information on leading food delivery apps.

It enables benchmarking and analysis of delivery performance across outlets, regions, and brands, supporting operational, competitive, and geographic strategy decisions.

## Methodology

* Automated App Survey: An automated, location-specific survey was conducted for each restaurant outlet to retrieve real-time delivery estimates and associated costs as displayed on the apps.
* Outlet-Level Granularity: Each data point links to a specific restaurant outlet, not just brand-level averages, enabling hyperlocal analysis.

## Use Cases

* Benchmark On-Time Performance: Compare estimated delivery times across outlets, neighborhoods, and competitor brands.
* Market Expansion Decisions: Understand operational delivery dynamics when entering new regions or cities.
* Performance Optimization: Identify areas where delivery speed or cost is an advantage or disadvantage.
* Competitive Intelligence: Analyze how competitor brands are positioned in terms of speed and cost across various locations.
* Customer Experience Analysis: Map neighborhoods where customers face higher wait times or delivery fees.
* Dynamic Pricing & Promotions: Tailor marketing offers based on expected delivery performance in specific zones.

搜集汇总

背景与挑战

背景概述

该数据集涵盖中东地区各餐厅的实时配送时间和费用信息，数据每日更新三次，适用于配送绩效评估、市场拓展决策等商业分析用途。数据通过自动化应用调查采集，支持按具体餐厅门店进行超本地化分析。