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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.

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Can you Risk Implementing Enterprise Software from a High Growth Company with Large Losses?

Logistics Viewpoints

When companies consider implementing enterprise software, standard operating procedure would be to look at a public company’s financials before deciding to implement the solution. If the software company is private, the prospective customer often asks for the right to view their financials. How can they be growing so fast?

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Five Advanced Technologies That Are Revolutionizing Logistics

Logistics Viewpoints

If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.

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A Model for Employing Disabled Workers in Warehousing

Logistics Viewpoints

Körber is a leading provider of logistics software, material handling, voice, and consulting solutions. Technology Can Aid in Hiring the Disabled. Part of the story of this retailer’s employment of the disabled in their DCs is a story of technology adoption. There is a service level agreement that the system will be up 99.9%

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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We Should Not AI Stupid

Supply Chain Shaman

I asked if he had tested the models by backcasting. The organization had little energy to test forecasting models. As a result, the project implemented by KPMG was primarily a technology implementation. The software was never tested. He then said, “Our technology is tough to use. He shrugged his shoulders.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So