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Inventory Management vs. Warehouse Management

The Logistics of Logistics

So, as an example, the IMS tracks and reports that there are 30 widgets in Warehouse A, 25 in Warehouse B, 48 in Manufacturing Plant A, and so on. An example would be scanning a pallet ID and location barcode to confirm that the pallet with the ID of 123 has been putaway location 456, for example.

Inventory 273
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Collaborative Planning, Forecasting, and Replenishment (CPFR): Enhancing Supply Chain Efficiency

10xLogistics

Collaborative Planning, Forecasting, and Replenishment (CPFR) is a strategy that has revolutionized this space, offering a systematic approach to reducing supply chain inefficiencies. I will also cover why it seems so elusive when it really is such a smart approach to planning.

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How WMS Suppliers Helped Their Customers Hit the Covid-19 Curveball

Logistics Viewpoints

Omni-channel retailers have facilities dedicated to direct-to-consumer fulfillment and others responsible for retail store replenishment. Many companies addressed this imbalance by augmenting or completely changing their replenishment DCs to e-commerce fulfillment centers. Most notably, picking processes were changed significantly.

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AI-Powered Inventory Planning for Better Sleep

Logistics Viewpoints

It serves as a compelling example of how retailers must reassess their inventory strategies to adapt to rapidly shifting market demands driven by trends. The trade-off between waste and lost sales is a critical consideration in inventory management and replenishment for perishable products.

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ERP inventory management – how advanced is your ERP?

EazyStock

This can include statistical demand forecasting , advanced inventory planning and automated replenishment activities. To remain competitive they know they need the tools to ensure the right stock is in the right place at the right time. Automated replenishment is critical to ERP inventory management.

ERP 98
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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

They can reveal any weak points in the logistics installation, such as unplanned replenishment from overstock to the picking area, or failure of mechanical components, and allow you to take measures to correct the problem before things get out of hand. They might also affect the technologies or resources.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. Similarly, when the weather is warmer than normal, and we stock out of chocolate ice cream, that impacts both future forecasts and the replenishment plan for the following week.