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DAT IQ: The Metrics that Matter with Samuel Parker

The Logistics of Logistics

Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is an experienced market strategy and product leader with over 10 years of experience in supply chain logistics and innovation, specializing in helping technology companies build high-performing Go-to-Market teams. Samuel has his B.A.

Metrics 215
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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance. CPG companies that utilize an autonomous supply chain technology see a reduction in their inventory and cost and an increase in revenue. each with discrete plans generated typically in sequential batch runs.

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Upgrading your Supply Chain Planning Software to the Cloud: Everything you need to know

Logility

The key areas to consider when upgrading to the cloud include: The Value of Cloud Technology Cost Competitiveness Performance Expectations Upgrades Responsiveness Support Expertise & Response The Value of Cloud Technology Which business drivers and advantages are motivating companies to shift to the cloud?

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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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Editor’s Choice: AI in Supply Chains: Which Data is ‘Just Right’ for Your Business?

Logistics Viewpoints

Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. ERP, CRM, SCM), external sources (e.g., At the same time, feeding your AI models too much data can also be a problem.

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Do No Harm…

Supply Chain Shaman

Despite two decades of advancement in supply chain technologies, companies are struggling to gain balance at the intersection of operating margin, inventory turns and case fulfillment. I believed that the first generation of supply chain systems would improve operations to a greater degree than actually happened. I am sorry.