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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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Generative AI in Supply Chain: How It Impacts Your Logistics

Trinity Logistics

Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. Large Language Model (LLM) This model is trained on vast amounts of text, can interpret what you’re asking of it, and can put a response in words that you can understand.

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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. Looking back on that week of straight rain in August, not only were my tips affected, but the data for future forecasts was as well!

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How Data Can Improve Last-Mile Delivery

Shipchain

But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.

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Capitalizing on ERP trends in 2024

SYSPRO Smarter ERP

The other emerging area around AI in ERP focuses on trend analysis and forecasting. Although machine learning models have been in place for some time, they are now becoming much more prevalent because of the high volumes of data in ERP systems. These range from data migration to integration, security and training.

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How IoT Brings Railway Efficiency to Dutch Rail Network

IoT World Today

million train journeys every day. Just building additional train tracks won’t address the problem in full. “Of Internet of Things (IoT) sensor-generated data is another key piece of improving railway efficiency and operations. Optimizing Railway Operations with Data. Making Data One’s Own. Book your ticket now. ].