Supply Chain analytics and inter-company relationships

Nowadays, industries can obtain a comprehensive and detailed view of all types of relationships that companies have in a given area, and visualize all the hidden tiers that are part of any supply chain, thanks to Big Data techniques. 

With Big Data techniques, it is now possible to gain a comprehensive understanding of the logistical, legal, and commercial relationships that exist between corporations and facilities all over the world. Location intelligence and mobility analytics have transformed how businesses generate competitive advantages and gain a comprehensive understanding of their own and competitors’ supply chains.  

Supply chain managers have little visibility into which of their first-tier suppliers are vulnerable to risks and exposures posed by second- and third-tier suppliers.  

Within these analytics, location analytics allows for the creation of a detailed supply chain map, allowing any company to identify opportunities and mitigate distribution risks by mapping manufacturing products, processing units, supplier locations, distribution centers, and vehicle routes, among other things.  

Also Read: “Supply chain solutions with predictive analytics”

The goal is to identify the constraints of a geographically dispersed supply chain in order to develop better contingency plans, anticipate and balance supply and demand, and manage risks. 

These types of analyses can also segment the various industries that participate in a supply chain, as well as learn about their specific line of business and count the number of trips made from the first level of the chain to the last.  

Because of geospatial data that is generated at all times, it is now possible to make increasingly accurate estimates of the relationships that a logistics complex has with nearby commercial establishments and other distribution centers. From monitoring distribution routes to establishing the most important business relationships. 

These analyses can identify the logistical flow of the company’s own supply chains and those of its competitors by identifying the relationships of the different levels in detail.  

You might be interested in: “Case Study Ι Food Service Company’ Supply Chain Mapping I USA

By using these techniques, it is possible to obtain a visualization that indicates which and how many establishments have a commercial relationship, to observe the path of the transporters, and to estimate an average of observations seen in the facilities, allowing it to understand the role of the supply chains and thus generate a competitive advantage that distinguishes it from its competitors. 

At PREDIK Data-Driven we help businesses implement Big Data-based strategies to improve supply chains, solve current problems, develop future strategies and generate optimal solutions by adding a geospatial analytics model that will drive your business to the next level. 

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