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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. The big data architectures are often present in the current “AI offerings.” The building of data listening platforms to enable teams to answer the questions that they did not know to ask.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Next Steps: Start to model demand based on market data to align the organization on baseline demand. Resist the temptation to place deeper analytics on top of existing data models. Instead, rethink the model and the approach. Out of desperation, they turned to the use of descriptive analytics.

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Implementing Last-mile Delivery Technology

Logistics Viewpoints

To remain competitive, retailers and carriers must excel in the crucial last-mile delivery stage. Sustainability: Reduce the carbon emissions impact of last-mile operations by adopting green fleets and implementing emissions reporting. And what are the comparative costs of building versus buying?

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Cloud-Based ERP guide for Operational Excellence

My Office Apps

Start Your Year with Cloud-Based ERP: The Ultimate Guide to Operational Excellence Begin your year on a transformative note by embracing the power of Cloud-Based Enterprise Resource Planning (ERP) systems. Cloud-Based Enterprise Resource Planning (ERP) is a cutting-edge approach to managing core business functions using cloud computing.

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Optimizing Supply Chain Transparency with Digital Product Passports

Logistics Viewpoints

AI (Artificial Intelligence) Artificial Intelligence helps process and analyze the large amounts of data generated by DPPs. AI and machine learning tools identify patterns, predict issues, and suggest ways to optimize operations. Having a well-documented DPP also makes it easier to report to regulators and stakeholders.

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8 Warehouse Optimization Tips from Manufacturing Experts

RFgen

Resource Management: Efficiently allocating labor, equipment, and storage space. Data-Driven Decision Making : Using analytics to continuously refine operations. This data should come from a system that can track multiple, moving parts and integrate with existing technologies.

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4 Factors Fueling the Growth of Modern Data Hubs for Business Reporting

Silvon Software

Silvon has noticed over the past several years that a shift towards a modern data hub architecture to support enterprise analytics and reporting has been driven by a number of key business drivers. Once integrated, the data is made “analytics ready” and securely available to users.