What is Transport and Logistics Data? Definition, Datasets & Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Transport and Logistics Data?
Transport and logistics data is information related to the movement of goods, vehicles, and people, as well as inventory management, route optimization, and delivery tracking. This data helps businesses improve operational efficiency, enhance customer service, and manage supply chains.
Best Transport and Logistics Databases & Datasets
Here is our curated selection of top Transport and Logistics Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Transport and Logistics Data | Logistics Professionals Worldwide | Verified Professional Histories & Contact Details | Best Price Guarantee
Bangladesh Transport and Logistics Data | Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates
Transport/Logistics Vessel and Container Tracking Data | Global Coverage with Custom and On-demand Datasets
BoldData - B2B Contact Data & Company Data in Transport and Logistics (1.3M contacts)
Trucking Mobility Data | Europe & UK coverage | Transport & Logistics Data
Transport and Logistics Data | API | Dataset | CSV | JSON | 3,682,776 Companies | 50 European Countries | GDPR | Monthly Updated | GDPR-Compliant
Transport and Logistics Data | B2B Contact Data for Global Logistics Sector | Verified Profiles with Operational Insights | Best Price Guaranteed
Ship Data | Ferry Terminals Geofences in US and Canada | Polygon Data | Location Insights
Electric Vehicle Charging Stations Data |99% Data accuracy|App and Market Intelligence
Germany Point of Interest (POI) and Visitation Data| 7.5M+ Businesses
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Top Transport and Logistics Data Providers & Companies
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Irys
CoverageUSAUK+238SOur team's data search had incredibly high standards and specific needs. We initiated conversations with over 35 data vendors and performed sample pulls with nearly 8 of them. Irys stood head and shoulders above the rest of the market for geolocation data. Their team was patient with us as we performed our search, offered fair prices from the start and had fantastic data quality and volume. Irys' back end data engineering was brilliantly compressed, clean and exactly what they advertised. We are very satisfied.
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dataplor
CoverageUSAUK+247VMy firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.
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Market Inside Data
CoverageUSAUK+247VI use Market Inside data for business expansion by analyzing international trends, assessing the prices of raw materials from importers, and comparing the imports of our competitors. Apart from that, it helps to analyze trends in the international market, find new buyers, and close deals by knowing our competitors' prices.
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Opoint
Our suite of solutions equips you with the data to monitor, analyse, and react to narratives around brands, industries, or markets swiftly. With unparalleled news data coverage and advanced analytics, ensure every decision you make is informed, strategic and a leap ahead.230000+Sources185Languages< 5 minuteSpeed of Publication to index -
HitHorizons
CoverageUSAUK+63VI have been a regular user of HitHorizons for three years and I am very glad that HitHorizons was recommended to me. The data is valid and regularly updated. This avoids contacting companies that disappeared from the market years ago. It's great that the screener offers the option of filtering the data according to relevant criteria, such as company size, number of employees, company sector or even country, federal state, or city. This allows me to compile interesting data that fully meets my needs. I have never found anything like this before. And I won't be looking for another source, because HitHorizons' offer is perfect and absolutely worth the investment.
Popular Use Cases for Transport and Logistics Data
Transport and Logistics Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Transport and Logistics Data.
Main Attributes of Transport and Logistics Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 30 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 24 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 24 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 22 datasets | |
| String | The name of a country. | View 18 datasets | |
| String | The internet protocol (IP) address of an endpoint. | View 18 datasets |
Transport and Logistics Data Explained
Examples of Transport and Logistics Data include shipment tracking information, delivery schedules, vehicle location data, fuel consumption records, and warehouse inventory levels.
Transport and Logistics Data is used for optimizing supply chain operations, improving delivery efficiency, managing inventory, analyzing transportation costs, and enhancing overall logistics performance.
In this page, you’ll find the best data sources for logistics datasets, logistics databases, and transportation and logistics data.
How is Transport & Logistics Data collected?
As transport and logistics datasets cover two terms, there are different ways of collecting relevant data for these datasets.
Transportation data - Data about transport routes are collected using location data, like current fleet coordinates and routes, and general location information, such as map details and road or route information. This information is used to make the transport of goods as efficient as it can be and transport and logistics datasets are often used to predict potential problems or plan the quickest way from supplier to consumer.
Logistics data - There are multiple sources of logistics data. This may be information about the transportation vehicle or storage equipment or the goods that are being transported themselves. Logistics data may also be collected from the supplier of the goods, such as their location and entity details and description.
Main Attributes
As with the sources of transport and logistics data, the typical attributes of this information can normally be split into two parts.
Transportation data
Information about the transportation of goods itself will make up one part of a transport and logistics dataset. Commonly, this will be details such as the best routes from supplier to consumer or retailer, stops that can be made en route, and even real-time road traffic conditions. Often, map data will be provided which can present alternative routes for transportation vehicles or fleets if there are issues with the planned route.
Logistics data
The rest of a transport and logistics dataset will consist of logistical information to ensure that the process of moving goods is as efficient as possible. Logistics information can include details about the pick-up and drop-off locations to ensure goods are loaded and unloaded swiftly. It may also provide useful insights into how to optimize your logistics by presenting key analytical information, such as how to combine routes to multiple locations.
What is Transport & Logistics Data used for?
Many businesses and companies use transport and logistics data to ensure that their business runs smoothly and efficiently. Companies that are selling goods rely on this information to ensure that their shipments are coming on time and that the process will be quick. Transportation and logistics companies especially rely on these datasets because they can provide real-time solutions to problems that drivers and transportation fleets can experience while on the move.
Companies also use the information provided by transport and logistics datasets to reduce excess costs and increase their profit margins by highlight potential problem areas and then resolving these issues. This can be anything from traffic problems on the road to issues in the warehouse.
How can a user assess the quality of Transport & Logistics Data?
The best transport and logistics datasets will provide real-time and accurate information. This is crucial especially when it comes to route planning and problem solving while on the move and for this reason businesses need datasets which are accurate and reliable.
Historical transport and logistics data is often less important for the best quality datasets, however it can be useful in identifying issues that appear regularly and helping businesses resolve these.
Always read the transport and logistics data provider’s reviews before you buy any transport and logistics data and make sure to ask for a data sample in advance of purchase to ensure that the data provided matches your needs.
Frequently Asked Questions
How is the Quality of Transport and Logistics Data Maintained?
The quality of Transport and Logistics Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Transport and Logistics Data Updated?
The update frequency for Transport and Logistics Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Transport and Logistics Data Secure?
The security of Transport and Logistics Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Transport and Logistics Data Delivered?
Transport and Logistics Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Transport and Logistics Data.
How Much Does Transport and Logistics Data Cost?
The cost of Transport and Logistics Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Transport and Logistics Data for your needs.
What Are Similar Data Types to Transport and Logistics Data?
Transport and Logistics Data is similar to other data types, such as Marine Traffic Data, Rail Traffic Data, Import Export Data, Global Trade Data, and Ride-Sharing Data. These related categories are often used together for applications like Supply Chain Intelligence and Asset Tracking.
