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AI Chatbot Extracts Data Insights for Freight Management

Food Logistics

CoPilot is a generative AI tool embedded in its freight management platform, ShipperGuide, that enables real-time data analysis and industry insights by harnessing the power of large language models.

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4 Ways Supply Chain Modeling Enhances Enterprise Resilience

Logistics Viewpoints

Supply chain modeling is essential to substantiated resiliency analysis and to the planning of risk responses. A supply chain model is the digital representation of the structure, product flows and policies of a physical supply chain.

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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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[stackd] How Technology & Data are Creating New Freight Shipping Models

FreightWaves SONAR

How are those who are very good at freight procurement also get really good at data analysis? Are companies now employing more analysts and data scientists? How does the shared truckload model benefit shippers and carriers? What is the future of sustainable freight shipping? How is Flock seeing that through?

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align.

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How business intelligence can enable you to be a data-driven manufacturer

SYSPRO Smarter ERP

The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This enables managers to take swift action and keep production on track.

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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

What is Machine Learning ML is the computing engine behind AI and gives computers the ability to make sense of, and learn, from data to perform specific tasks without manual interference. Nine areas where AI can help manufacturers There are several ways in which data and AI can be applied in the manufacturing industry. The Industry 4.0