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LLMs, Optimization and Automation: Supply Chain’s Defenses Against Market Swings

Blue Grace Logistics

It can be a direct reflection of current market trends, as many publicly traded companies operate within the global supply chain. These tools are helping businesses advance operations, enhance efficiency and drive growth, irrespective of the volatile economic market conditions.

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Digital Transformation Journey in Supply Chain Planning

Logistics Viewpoints

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats.

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Prescriptive Analytics is Going Mainstream. Is your Organization Ready?

AIMMS

Source: Gartner, Forecast Snapshot: Prescriptive Analytics Software, Worldwide, 2019. Source: Gartner, Market Guide for Supply Chain Analytics Technology, May 28, 2019. At AIMMS, we recognized this trend several years ago. The tools of the past are simply not enough to deal with the quantity of data available today.

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How Technology Empowers Freight Brokers to Work Smarter, Not Harder, to Drive Profitability

Talking Logistics

Those are some of the key questions I discussed with Tom Curee, Vice President of Logistics at Kingsgate Logistics , and Prasad Gollapalli, Founder and CEO of Trucker Tools , in a recent episode of Talking Logistics. Brokers use many sources to find capacity. That’s when we began working with Trucker Tools.

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Key Asset Management trends in Oil & Gas Industry - Infosys Blogs

Infosys Supply Chain Management

Sourcing & Procurement. Sourcing & Procurement. ProcureEdge – Sourcing & Procurement. Case Studies. |. Discuss the latest trends and solutions across the supply chain management landscape. However, some trends certainly have critical importance for Oil & Gas industry.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.

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Prescriptive Analytics is Going Mainstream. Is your Organization Ready?

AIMMS

Source: Gartner, Forecast Snapshot: Prescriptive Analytics Software, Worldwide, 2019. At AIMMS, we recognized this trend several years ago. The tools of the past are simply not enough to deal with the quantity of data available today. We turned 30 this year. New ways to digitally represent the supply chain .