Remove Metrics Remove Supply Chain Performance Remove Transportation
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Supply Chain Efficiency: A Deep Dive into the Core Drivers

RFgen

Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. This post delves into the core drivers of supply chain efficiency.

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The Data-Driven Supply Chain: AI, Cybersecurity, and Real-Time Monitoring

Logistics Viewpoints

The company dynamically positions inventory within its fulfillment network using projected demand heat maps and transportation cost models. Fleet Telematics and Driver Behavior Fleet operators collect telematics data across engine metrics, route adherence, and driver behavior (e.g., acceleration, idling, braking).

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Making Logistics Data Actionable: Insights from Freightos and Gryn

Freightos

The Logistics Data Challenge The logistics sector is awash with data, from shipment volumes and freight rates to sustainability metrics and supplier performance. “You really need to make [data] actionable… use it to manage your suppliers, to drive supply chain improvements. Esch cited a study by a U.S.

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How Cross-Functional Training Transforms Supply Chain Performance

Procurement Academy

According to Deloitte Insights , 83% of digitally maturing companies use cross-functional teams to improve supply chain performance. Of course, the right training is key to the success of such initiatives, and can have a measurable impact on supply chain performance.

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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. This blog is Part 1 in our Optimizing Supply Chain Performance with Unified Data series, with a focus on optimizing fulfillment.

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Breaking Down Supply Chain Optimization: Turning Data Into Actionable Insights

RFgen

Data analytics helps you monitor key performance indicators (KPIs), like supplier performance, delivery times, and transportation efficiency — all in real-time. AI also optimizes transportation routes dynamically by looking at factors like weather, traffic, and delivery windows.

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Optimize Food Supply Chain with AI-Driven Planning

ToolsGroup

To maintain high performance under pressure, food logistics leaders need to adopt modern tools and strategies that enable proactive planning, real-time visibility, and agile execution. In today’s competitive landscape, AI-powered solutions are quickly becoming essential to optimize food supply chain performance and meet demand with precision.