Big Data for supply chain sustainability

Big Data is transforming the way leaders manage supply chains across all touch points, from manufacturing and provisioning to logistics and customer service.

Tuesday, March 22, 2022

What is Big Data applied to supply chain?

The application of Big Data for supply chain sustainability is the application of high-level intelligence derived from an organization’s data analytics of its operational processes, from procurement and processing to inventory management, distribution, etc., providing a basis for automation efforts and continuous improvement of logistics operations. Read the complete article here

Also Read: “How to infer relationships between companies with Big Data?

How does it work?

This tool uses data and quantitative methods across all activities, extending the data set for analysis beyond the traditional internal data of enterprise resource planning and supply chain management systems, while applying powerful statistical methods to new and existing data sources, gaining new insights that help optimize inventory and improve decision making.

Do you need to apply a detailed analysis of your supply chain to optimize costs and maximize revenues? Contact us!

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More on this topic

How to reveal hidden tiers in the supply chain?

April 2022

Most supply chain managers have limited visibility into which of their first-tier suppliers have risks and exposures arising from second and third-tier suppliers. Essentially, they do not know who supplies their Tier 1 suppliers.

Location analytics can identify unknown hidden participants or nodes in supply chains, thus helping to minimize and better control the risks of disruption.

Top benefits of Big Data in supply chain management

March 2022

Big Data brings together data from different applications, infrastructures, third-party sources and emerging technologies such as location analytics to improve decision making in the strategic, tactical and operational processes that make up supply chain management.

This tool reshapes the supply chain by providing useful and actionable data that can help improve the efficiency of individual companies and the ecosystems in which they operate, helping to synchronize supply chain planning and execution by improving real-time visibility into these processes and their impact on customers and the bottom line. Read the complete article here

Location intelligence in supply chains

March 2022

Logistics managers need to implement location intelligence in supply chains in order to reduce delays, keep costs down, generate a competitive advantage, and thereby improve the global network of multiple carriers, service providers and physical locations from the constant threat of unexpected problems.

By leveraging location intelligence, decision makers gain deeper insight into market trends, consumer behaviors, foot traffic patterns, manufacturing activity, competitors’ logistics operations and much more.

Global Supply Chain Crisis? 

October 2021

COVID-19 and climate change have directly impacted the supply chains of the sectors and industries that generate the most economic output.  

Unfortunately, fiction has become reality, and a global pandemic coupled with sudden climate changes have increased these problems worldwide, also due to unforeseen events in logistics routes and the exponential increase in online shopping, forcing industries to increase the load of transportation, vehicles, staff and resources in general.