What is supply chain data analytics? Uses, Types & Dataset Examples
What is Supply Chain Data?
Supply chain data is throughout the entire supply chain process. It includes data related to procurement, production, inventory, logistics, and customer demand. It helps organizations optimize their supply chain operations, improve efficiency, reduce costs, and make informed decisions. Examples of supply chain data include information on product demand, inventory levels, transportation routes, supplier performance, and customer feedback.
Best Supply Chain Data Databases & Datasets
Here is Datarade's curated selection of top Supply Chain Data. These trusted databases and datasets offer high-quality, up-to-date information.
PREDIK Data-Driven I Supply Chain Data I Enhanced Custom Dataset: Company Supply Chain Insights I 100K Records, 8 Countries, 4 Years History
Bright Data | Supply Chain Datasets - Global Coverage - Get data from any public website
Opoint Supply Chain Data | Web Data | Global Risk Data | 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions | Risk Management
Public Company Supply Chain Data | Trademo
Import Export Data | 190+ Countries EU Transit Routes Trade Data | Cross Border Movements via Customs Territories through Local Transport
Russia Trade Data | Import Export Data | B2B Leads Data | Company Data | Supply Chain Data
Satellite US Supply Chain Dataset Package (Amazon, Fedex, Walmart) + Research Report Available
PREDIK Data-Driven I Private Company Data I Enhanced Custom Dataset to Understand Private & Public Business Relations between US Companies
Opoint | Global KYB Data from the World's most comprehensive Web News Aggregator | News Data / Adverse Media Data / KYC Data
Supply Chain Data of Sanctioned Entities Globally | Trademo
Top Supply Chain Data Providers & Companies
These data providers are trusted industry-wide to provide up-to-date information on the supply chain, including geopolitical disruptions and sanctions. Use their datasets to get the most accurate view into global trade and the performance of specific logistics and shipping companies.
Popular Use Cases
Supply Chain Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Supply Chain Data Explained
Supply Chain Data Collection
There are various methods for collecting data in the supply chain, including manual data entry, sensors, and electronic data interchange (EDI). Manual data entry involves manually entering information into a computer system, such as tracking numbers, quantities, and product details.
Sensors, such as RFID tags, can be attached to products or placed along the supply chain to automatically collect data on location, temperature, humidity, and other factors. EDI involves the exchange of electronic documents, such as purchase orders and invoices, between different systems and stakeholders in the supply chain.
Other methods for collecting supply chain data include the use of barcodes, GPS tracking, and cloud-based systems that allow for real-time data collection and analysis. By collecting data from various sources and analyzing it in a systematic way, businesses can gain valuable insights into their supply chain operations and make informed decisions to optimize processes and improve efficiency.
Use Cases for Supply Chain Data
There are many ways in which businesses are using supply chain data to improve their operations and drive success. One common use of supply chain data is in demand forecasting, which involves predicting future demand for products or services based on historical data, trends, and other factors. This information can help businesses plan their production, sourcing, and distribution activities more effectively and reduce the risk of overstocking or understocking.
Another common use of supply chain data is in the optimization of logistics, including the identification of bottlenecks and the selection of the most efficient transportation routes. Supply chain data can also be used to identify opportunities for cost savings, such as by reducing waste or identifying more efficient suppliers.
Additionally, businesses may use supply chain data to enhance their relationships with customers by providing more accurate delivery estimates and identifying opportunities for customization or personalization. Overall, the effective use of supply chain data can help businesses make informed decisions, improve efficiency, reduce costs.
Frequently Asked Questions
Where can I buy Supply Chain Data?
Data providers and vendors listed on Datarade sell Supply Chain Data products and samples. Popular Supply Chain Data products and datasets available on our platform are PREDIK Data-Driven I Supply Chain Data I Enhanced Custom Dataset: Company Supply Chain Insights I 100K Records, 8 Countries, 4 Years History by Predik Data-driven, Bright Data | Supply Chain Datasets - Global Coverage - Get data from any public website by Bright Data, and Opoint Supply Chain Data | Web Data | Global Risk Data | 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions | Risk Management by Opoint.
How can I get Supply Chain Data?
You can get Supply Chain Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Supply Chain Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Supply Chain Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Supply Chain Data?
Supply Chain Data is similar to Aviation Data, Trucking Fleet Data, Freight Data, Road Data, and Shipment Data. These data categories are commonly used for Supply Chain Monitoring and Supply Chain Analytics.
What are the most common use cases for Supply Chain Data?
The top use cases for Supply Chain Data are Supply Chain Monitoring, Supply Chain Analytics, and Supply Chain Risk Management (SCRM).