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Company-to-Company Relations & Supply Chain Mapping

Infer economic, logistics, legal and business relationships between companies in different areas of a country.

Visualize and map an entire supply chain nationwide and statewide in the United States and across countries or regions within Europe.

With the data it is possible to infer relations such as

  • Company A/Facility A is customer of company B/Facility B

  • Company C/Facility C is a long-time supplier of company D/Facility D

  • Company H/Facility H, who is my customer, is also customer of my competitor, company Z

Possible Use cases

  • Identify and understand relations company-to-company.
    • We can identify and infer relationships and connections between specific companies or facilities and between sectors/industries, in the United States and Europe. 
  • Identify and understand relations place-to-place.
    • We can draw the logistics and domestic distribution supply chain nationwide or state-wide in the United States and regionally, across countries, in Europe. 
  • Visualize and map an entire supply chain network. 
  • Trace products in any distribution or supply chain. 
  • Analyze illicit networks. 
  • Improve casualty risk management. 
  • Optimize supply chain risk management. 
    • Identify not only the first tier of suppliers in the value chain, but also 2nd and 3rd tier suppliers, and more. 

Questions we can answer with this data

  • What other logistic providers my client is working with? 
  • Who are the clients of certain company? 
  • Who are the wholesalers of a specific company? 
  • Who are the distributors my competitors are working with? 
  • What is the supply chain of my competitors like? 
  • What is the distribution chain of my competitors like? 
  • What are the facilities of specific companies? 

Underlying data: Mobility Data

 Mobility data gathered from more than 140 million mobile users in the United States. This anonymous and aggregated data is sourced from international data partners, who obtain this data through agreements with mobile apps that share the device´s location each time the App is opened.  

This data source is usually around 20 billion data points per month. This is massive and complex data source provides unprecedented insights into several aspects of the economy, ranging from customer behavior to logistical tracing. This data was initially used mostly by hedge funds but has grown notably in use cases as one of the most valuable alternative data sources available today.

All this process is compliant with applicable privacy laws (GDPR in UE). 

Advantages of mobility data

  • Available worldwide

  • USA panel is the biggest and most representative.

  • Fresh and historical data available

Other Insights that can be derived from the data

  • How often workers visit a facility (daily, monthly, absolute and averages).   
  • Classification of the visits (worker, resident, visitors).  
  • Shape and size of the buildings. 
  • Where the workers visits are during night hours & day hours. 
  • Frequency of the worker visits by day of the week and hour of the day. 
  • Companies’ locations by relative income Level. 
  • Buildings warehouse potential. 
  • Truck-like behavior (calculated based on average distance). 
  • Facilities’ Names and addresses. 
  • Services’ Providers. 
  • Goods traded.   

Delivery schema

 We can deliver the data in different formats, depending on the client´s needs. The frequency can also be tailor-made to specific needs. 

Another Data Visualization Use Cases

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