Opah Labs | Restaurant & Food Delivery Transaction Data | North America | Bi-Weekly Updates (Consumer Data w/ 965M Records) | 3227|最后一公里配送数据集|食品配送数据集

Opah labs 3227 specializes in providing third-party software solutions for last-mile delivery services in North America, excluding the United States. Established in 2015, their primary focus is on business-to-business (B2B) services. Their platform streamlines delivery operations, overseeing orders, drivers, and historical data, including Ecommerce data. They have a database containing 5,632,203 records spanning from August 5, 2021, to March 23, 2022, with no duplicates. They serve 1,134,167 unique users, with an 82.30% similarity rate. Their mission is to enhance last-mile delivery efficiency through software and data-driven solutions. The data is sourced from an application that facilitates various deliveries, acting as a backend for providers. The company offers ETL services and can adjust delivery frequency, including daily collection. It has data coverage for Ozempic, Saxenda, Orlistat, and Hydrogel. The dataset includes prescription delivery data and consumer goods data for users. This information offers insights into geographical transactions at a consumer level, with implications for consumer behavior and publicly traded companies. Restaurant & Food Delivery Transaction Data is part of Opah 3227's comprehensive dataset, providing valuable insights into the dynamics of the food delivery industry. | Volume and Stats | Industry records undergo an unmatched refresh every two weeks. Many prominent sales and marketing platforms rely on curating firsthand data. Delivery formats: JSON, XLS, CSV | Data Points | With an impressive average of over 1,255,918 unique users. Key fields include Location, Payment Method, transit times, branch locations, and products. | Use Cases | Pharma, Restaurant & Food Delivery Transaction, Ecommerce Pharma Data pertaining to the pharmaceutical industry. Restaurant & Food Delivery Transaction Details of transactions in the restaurant and food delivery sector. Ecommerce Online transactions, including products, purchases, and customer behavior, vital for optimizing online retail operations. | Data Use Cases | Understand consumer purchasing and delivery behavior within the Mexico market Data provides insights into pharmaceutical usage within the Mexico Market Insights into food consumption and food delivery usage Insights into delivery applications transactions within the Mexico market, Rappi, Uber Eats, Ivoy, etc Verified delivery consumer, email address, address information, etc Geospatial, latitude, longitude, ping data coordinate values for consumers with timestamps Geospatial, latitude, longitude, ping data coordinate values for delivery drivers Insights into Mexico Farmacia brands delivery transactions Insights to build targeted marketing campaigns for Mexico market consumers | Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. | Other key features | Free data samples Tags: Third-party software, On-Demand delivery, Last-mile, Drivers, Transit times, Branch locations, Products, Payments, Customer data, Food delivery, E-commerce, Pharmacy, Prescription action, Order processing, Efficiency, Customer behavior, Demand forecasting, Route optimization.