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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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Bypass Disruptions with What If Analysis for Supply Chains

Logility

In the constantly changing world of logistics and manufacturing, “what if” Analysis is the key component of finding the optimized supply chain. What if analysis gives them a window into the future. Supply Chain Leaders are constantly exploring options that currently do not exist.

Analysis 100
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Digital Transformation in Logistics

Logistics Viewpoints

ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. APQC conducts research on supply chain and logistics to help organizations assess the performance of their own processes and functions compared to their peers.

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This Week in Logistics News (April15 – 20)

Logistics Viewpoints

And now for this week’s logistics news: Walmart Adds Truck Powered by Compressed Natural Gas to its Transportation Fleet CMA CGM offers $5.5 billion for Bollore logistics unit Retailers Tackle Cardboard Overload With Made-to-Fit Boxes Robust.AI billion) for the logistics unit of Bollore. That’s all for this week.

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Cost to Serve Analysis—And the Costs of Neglecting It

Logistics Bureau

Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.

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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

Using artificial intelligence (AI) in manufacturing can significantly improve productivity, reduce equipment failure, increase production efficiency and help identify new business opportunities. The area of AI that manufacturers need to explore to drive their factories into the future is machine learning (ML). The Industry 4.0

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Mastering Profitable Omni-Channel Logistics, Despite Disruptions

Logistics Viewpoints

This new behavior means that manufacturers and retailers need to anticipate consumer needs across channels with more accuracy than ever. To compete with Amazon, most retailers and manufacturers have had to dramatically shorten their own delivery windows. Navigating an Increasingly Challenging Logistics Landscape.