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Baltimore Bridge Collapse: An Opportunity to Reinforce the Importance of Supply Chain Resilience

Logistics Viewpoints

For example, a robust supply chain may have backup power generators, firewalls, security systems, and emergency plans to prevent or mitigate the effects of disruptions. For example, an agile supply chain may have real-time data, advanced analytics, decision support tools, and cross-functional teams to monitor, diagnose, and solve problems.

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Freight Procurement is a Different Game

Logistics Viewpoints

The moves span inbound, intracompany, and outbound shipping. Any shipment moving from Siloam Springs to Bentonville, Arkansas, for example, would be one lane. An RFP is a data intensive exercise. This made the data analysis easier. On the inbound side, it was highly reliant on spreadsheet data.

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3 Practical Metrics for Supplier Performance Evaluation

Logistics Bureau

These KPIs should all be applicable to your supply chain operation, subject to some tweaking to reflect the precise characteristics of your inbound logistics and purchasing functions. This measurement will require data from the purchase orders placed by your buyers, and that from your receiving operation. ASN Accuracy.

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What Is Transportation Optimization and What Does It Have to Do With Managed Transportation

GlobalTranz

True optimization applies data to ensure all decisions and processes are carried out to their fullest potential. Leveraging data for continuous improvement makes transportation optimization more synonymous with managed transportation. Transportation optimization can occur at a network level and an execution level.

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Why A Successful Transportation Management Program Is Empowered By Data

GlobalTranz

6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. In this post we will talk about how you can improve your transportation management program by focusing on using data, extracted from the use of technology, such as a transportation management system, that then people can use to continuously improve.

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The Warehouse Execution System: A New Competitive Imperative

Logistics Viewpoints

A WES autonomously gathers real-time signals from across the warehouse, then applies artificial intelligence (AI), machine learning (ML), and data science to create plans and solve problems. Today’s warehouse environment is too complex and fast-moving to manage effectively via human cognition, as well as manual planning and analysis.

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To Stock Analysts, Container Size Matters

FreightWaves SONAR

Use cases for the intermodal data in SONAR are similarly varied. Shippers can use intermodal volume data by lane for clues on whether other shippers are seeing value in rail intermodal compared to truckload. The more widely seen AAR data shows overall US containerized intermodal growth of 14.5% Hunt does not participate in.

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