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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.

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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

Logistics Viewpoints

Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,

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Infor Analyst Innovation Summit 2025: A Look at the Future of Industry Cloud

Logistics Viewpoints

iPaaS provides a comprehensive set of tools for connecting applications. Concepts like GenAI Assistants and Agents were presented, offering conversational interfaces and on-demand analysis. Day 2: The second day included multiple breakout sessions focused on certain tools and industries of focus.

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Last Mile Delivery Optimization Strategies for 2025

WorkWave

Smart Lockers and Pick-Up Points As e-commerce continues to rise, integrating smart lockers and designated pick-up points into last-mile logistics becomes essential. For example, if delivery times consistently exceed targets, further analysis may reveal specific routes that require optimization or additional resources.

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Supply Chain Automation – Is Australia Ready?

Logistics Bureau

Supply chain automation refers to the tools and technologies we can use to make manual tasks automated, reducing the need for human workers. Supply chain automation tools allow you to create a more resilient, efficient, and competitive business. What is Supply Chain Automation?

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Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

Logistics Viewpoints

Even after local processing, logistics organizations must ensure consistent and reliable data synchronization back to cloud-based systems for reporting and analysis without network congestion, version conflicts or other anomalies. This reduces dependency on external networks while retaining the benefits of centralized reporting and analysis.

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Why Benchmarking Alone Isn’t Enough for Proper Transportation Cost Analysis

GlobalTranz

Carriers in the trucking industry and also shippers today are actively looking for ways to combat the rising costs of operating their businesses, but they often do not fully understand proper benchmarking, transportation cost analysis, and profit management are intertwined. The ATA can also provide you with specific materials on the subject.