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Leveraging Scenario Planning for S&OP Decision Support

AIMMS

Sales and Operations Planning has become the preferred method to facilitate clear and formal communication between the demand and supply sides of a business. To address this, Gartner advises organizations to adopt scenario planning for S&OP. S&OP as a practice is changing. – Tweet this.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.

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How Disruptions like Coronavirus Test The Resilience Of Supply Chain Planning

AIMMS

The virus continues to compromise supply chains and disrupt companies at a troubling rate, but a re businesses prepared from a supply chain planning perspective? . The era of globalization has enabled supply chains to be broader and more connected. First reaction s to the outbreak . – Tweet this.

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Four Ways of Using Cluster Analysis in Retail Management to Improve Sales

Logistics Viewpoints

For companies that want to go beyond the traditional spreadsheet, which cannot handle this ocean of information efficiently, statistical methods such as cluster analysis can help. What is Cluster Analysis? Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes.

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AI-Powered Inventory Planning for Better Sleep

Logistics Viewpoints

In this blog, I will explore the use of AI/ML inventory planning for fresh products to optimize sales while minimizing waste and stockouts. This approach goes beyond traditional ABC segmentation , considering variability in both supply and demand and continuously adjusting product segmentation.

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Nine Key Steps to Enabling Resilient Supply Chains

Logistics Viewpoints

Now more than ever, organizations must prepare their supply chain for the present and the unknown challenges and opportunities in the future. Integrating external factors like consumer price indexes, GDP trends, climate change, and others into the forecast can improve signaling for supply chain design.

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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.