Remove Analysis Remove Shipping Remove Warehousing
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Schneider Electric’s Supply Chain Design Journey

Logistics Viewpoints

These facilities produce and ship 150,000 order lines per day. Rather than shipping directly from a factory or a distribution center to a different region, they shipped to a port hub where shipments from a region could be consolidated, allowing them to build fuller ocean containers and ship fewer loads.

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The Top 5 Key Growth Drivers in the Warehouse Management Sector

Logistics Viewpoints

The Warehouse Management System market nearly grew by $1 billion in 2024, following a robust four-year climb since the pandemic. E-Commerce Expansion and Fulfillment Complexity The surge in online shopping has dramatically increased the demand for sophisticated warehouse operations with shorter shipping deadlines.

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Mastering Disruption: A Smarter, More Connected Approach

Logistics Viewpoints

Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. The Ukraine-Russia conflict is ongoing.

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8 Warehouse Optimization Tips from Manufacturing Experts

RFgen

In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?

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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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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Limitations of Traditional Supply Chain Planning Traditional supply chain planning relies on retrospective analysis. When unexpected disruptions occura factory shutdown, a shipping delay, or a supply shortagethese models provide little flexibility. AI-based demand forecasting minimizes excess inventory while ensuring sufficient supply.

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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. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management.