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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. Without a solid BI backbone, predictive analytics will be limited in its ability to yield accurate projections of future business performance.

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Consumer Goods: A Formula for Service, Speed, & Brand Success

Logility

From where they shop and how frequently they buy to what price points entice them, consumer behaviors have been challenging to predict over the past year. Batch manufacturing is more controlled and optimized, improving inventory turns and production scheduling efficiency. which helps us make smarter decisions with greater confidence.”

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The Top 5 Skills Every Procurement Manager Needs

Precoro

More and more companies are acknowledging the importance of centralizing and optimizing their procurement operations. One of the ways to accomplish this is to establish a procurement team to streamline ordering by centralizing purchases and improving supplier relations. What are the duties of a procurement manager?

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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?

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

Here, it’s extremely difficult to predict which sales volume will be reached for which goods. This warehouse runs at a perfect optimum with fixed capital in the form of inventory balanced perfectly with sales and purchasing, and all the items perfectly distributed to the various storage areas of the warehouse.

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13 Important Roles of Data Analytics in Supply Chain Optimization

SCMDOJO

For businesses to succeed, supply chain optimization is essential to succeed. Supply chain optimization can achieve this with the help of data analytics. Data analytics helps businesses make data-driven decisions and initiatives. How does data analytics help supply chain optimization? Why is it crucial?

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Top 6 Retail Trends & Supply Chain Planning Challenges in 2023

Logistics Viewpoints

The increasing need for constantly analyzing these trade-offs across the supply chain networks has highlighted the need for digital twins and what-if capabilities in network design solutions. They are more likely to shop for discounts and sales and may delay purchases of some items.