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Step Past AI Hype Drive Real Value

Supply Chain Shaman

The building of data listening platforms to enable teams to answer the questions that they did not know to ask. Data Management: Supply Chain leaders speak of dirty data as a barrier to improving supply chain outcomes. In the real world, data will never be pristine, clean, or odor free.

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ESG-Driven Supply Chains: Moving Beyond Compliance Toward Proactive Sustainability

Logistics Viewpoints

A lack of standardized ESG metrics across industries and regions makes it challenging to consistently evaluate and compare supplier performance. Upgrading procurement systems to include ESG data management capabilities is helping companies better track supplier performance across environmental, social, and governance dimensions.

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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. “You And that data has “to be internally consistent.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

This is why data fabrics are necessary. A data fabric refers to an architecture that supports a unified approach to data management. Data fabrics need to work across an AI and Analytics lifecycle. This is a critical framework that guides the transformation of “good enough” data into insights and actions.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Mastering Digital Product Passports: Strategies for Seamless Implementation

Logistics Viewpoints

Assessing Infrastructure and Technological Capabilities The first step in the readiness assessment is to evaluate the organization’s IT infrastructure and data management systems. Organizations must also evaluate the quality, integrity, and security of their data to ensure it is reliable enough for DPP purposes.

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Fleet Management 2.0: The Rise of Connected Vehicles in Global Supply Chains

Logistics Viewpoints

Together, these capabilities show how connected fleet technology supports precise, cost-effective fleet management. Operational Challenges in Managing Connected Fleets Connected fleets introduce challenges that require strategic planning, particularly in data management, integration costs, and cybersecurity.