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Understand a company's truck-based supply chain and its relationships with other businesses and facilities in the US

Alternative Data to Discover Supply Chain Insights

Common use cases

Other companies are using this data for:

Market research

Supply chain intelligence

Due dilligence & risk assessment

Custom Market Research Solution

Economic analysis

Sectors that are using this data:

Manufacture
Household & Personal Products
Consumer Durables & Apparel
Transportation
Food & Beverage
3PL
Energy

Our alternative data can provide you valuable insights to understand relations between facilities and companies.

Background

With this data, you can get a knowledge graph of a company’s interactions with other facilities and companies within the country using geolocation.

Featured attributes of the data

Our Company-to-Company Relations insights contain relevant information that can help you:

  1. Identify and analyze economic, logistic, legal, and business connections between companies.
  2. Detect the connections between businesses and facilities owned by different companies.
  3. Get valuable insights from private companies (Usually not disclosed in their reports).

Common use cases for this data

  • Discover and analyze relationships between suppliers and customers.
  • Identify interactions between individual firms or facilities and between industries within the United States.
  • Understand spatial relationships.
  • Trace items throughout the supply chain and investigate criminal networks.
  • Improve assessment of risk transfer.
  • Improve risk management within the supply chain.

Methodology

  • Update Frequency: Monthly, quarterly and yearly.
  • Companies covered: Public and private.
  • Stock tickers covered: Around 1,500.
  • Data Delivery Methods: S3 Bucket, Rest API.
  • Delivery Formats: CSV, JSON, XLX, SQL

Other valuable insights from this data include:

– Frequency of  visits to a facility daily, monthly, and average.
– Analysis of building shape, size, and footprint.
– Identification of the company’s location based on relative income.
– Names and addresses of facilities, service providers, and traded goods.

Data Sample & Dictionary

  • Request a simple data sample here.

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Why PREDIK Data-Driven?

We have more than 14 years of experience developing modern data mining techniques and generating data-driven solutions for corporations worldwide.

Leading organizations trust PREDIK’s data intelligence

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Schedule a 20-minute meeting with our experts to discuss your data requirements and develop a customized dataset.

Our data-driven methodology has helped some of the most important corporations in the US, Europe, Latin America, and Asia Pacific.

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