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Empowering a Greener, Smarter Future in Logistics Through AI

MTS Logistics

In warehouse environments, AI-powered robotics and automated guided vehicles (AGVs) are revolutionizing order fulfillment processes by handling tasks such as picking, packing, and sorting with unmatched efficiency.

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From Static to Dynamic – How AI and Smart Automation Extend WMS Capabilities

Logistics Viewpoints

For instance, many distribution centers (DCs) face challenges handling rising e-commerce order volumes alongside wholesale orders because their WMS or ERP systems only support wave-based picking. AI-driven tools optimize batch assignments by analyzing pick paths, order priorities, inventory, and travel costs in real time.

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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 are some examples of Supply Chain Automation? What is Supply Chain Automation?

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Last Mile Delivery Optimization Strategies for 2025

WorkWave

For example, if delivery times consistently exceed targets, further analysis may reveal specific routes that require optimization or additional resources. By integrating GPS navigation tools that leverage real-time data, drivers can receive timely updates and reroute as necessary, ensuring they adhere to delivery schedules.

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.

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Direct Spend Management: A Checklist for Enabling Shared Value with Direct Suppliers

Logistics Viewpoints

An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing. Leverage Data and Digital Tools for Supply Chain Collaboration Utilize technology platforms that provide process orchestration and community driven insights to gain deeper visibility into the entire supply chain.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Mr. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” They may not handle the complex data types encountered on the edge, which are often unstructured, time-sensitive, and critical for real-time decision-making. Decisions need to be digitized.