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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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Four Ways a TMS Solution Leverages Predictive Analytics

Supply Chain Collaborator

TMS users in transportation logistics organizations are sitting atop a gold mine of actionable data captured by their TMS solutions. The shrewd operators are leveraging these data to support predictive analyses with the goal of achieving more accurate planning and execution of logistics as product moves through their supply chain.

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The Evolution of Logistics: Connectivity, Data Integration, and Virtual Design

SCMDOJO

The term “logistics” may be relatively new, but its general principles date back to ancient civilizations. The early Mesopotamians, Egyptians, Greeks, and Romans pioneered the principles of logistics and designed trade routes to facilitate their connections with other nations.

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Track the Supply Chain Metrics that Really Matter

Precoro

To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Logistics disruptions, production delays, an over reliance on 3 rd parties, and labor market shortages are just some of these challenges. To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.