Best Delivery Datasets to use in 2025
Delivery datasets refer to a specific category of data that encompasses information related to the transportation and logistics industry. These datasets provide valuable insights into the movement of goods and services, including details about delivery routes, shipping times, transportation modes, and tracking information. By analyzing delivery datasets, businesses can optimize their supply chain operations, improve efficiency, and enhance customer satisfaction. This data category is particularly useful for e-commerce companies, logistics providers, and retailers looking to streamline their delivery processes and make data-driven decisions.
Technographic Data | B2B Data | 22M Records | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery
E-Receipt Data | Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan
Intuizi Country Origin Dataset | Geospatial Mobility detail data for 94 countries | Cloud delivery | 400m Uniques, updated daily
Global Location Data | 230M+ Business & POI Locations | Geographic & Mapping Insights | Bulk Delivery
Company Databases Australia | 8,3M Australian company information | CSV or Bulk Delivery
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Success.ai | LinkedIn Full Dataset – 700M Public Profiles & 70M Companies – Global Dataset – Best Price and Quality Guarantee
Audience Data | 330M+ Global Devices | Audience Targeting & Advertising | API Delivery
UK B2B Data | UK B2B Leads Data | 1.3M+ Senior Decision Makers | Email Data over 95% Delivery
Autoscraping | USA Restaurant Data | 500K+ Listings with Addresses, Ratings & Delivery Fees
Building Footprints UK | 4.7M+ Dataset
What is a delivery dataset?
A delivery dataset refers to a specific category of data that encompasses information related to the transportation and logistics industry. It includes details about delivery routes, shipping times, transportation modes, and tracking information.
How can businesses benefit from analyzing delivery datasets?
By analyzing delivery datasets, businesses can optimize their supply chain operations, improve efficiency, and enhance customer satisfaction. These datasets provide valuable insights that help companies streamline their delivery processes and make data-driven decisions.
Who can benefit from using delivery datasets?
Delivery datasets are particularly useful for e-commerce companies, logistics providers, and retailers. These industries can leverage the data to optimize their delivery processes, improve customer experience, and make informed decisions regarding their supply chain operations.
What kind of information is included in a delivery dataset?
A delivery dataset typically includes information about delivery routes, shipping times, transportation modes, tracking information, and other relevant details related to the movement of goods and services.
How can delivery datasets be used to optimize supply chain operations?
By analyzing delivery datasets, businesses can identify bottlenecks, inefficiencies, and areas for improvement in their supply chain operations. This allows them to make data-driven decisions to optimize routes, reduce delivery times, and enhance overall efficiency.
Are delivery datasets only useful for large businesses?
No, delivery datasets can be beneficial for businesses of all sizes. Whether it’s a small e-commerce store or a large logistics provider, analyzing delivery datasets can help optimize operations, improve customer satisfaction, and make informed decisions.