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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

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Blind Shipping: Solution for Inventory & Labor Challenges

GlobalTranz

If so, optimizing your inventory management strategy can be a game-changer. Imagine shipping products directly from your supplier to your customer while maintaining the appearance that your business is the source. This method offers a solution to various inventory and shipping challenges for businesses just like yours.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods. Amazon is a leader in AI-driven supply chain management.

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A Supply Chain Leader’s Guide to Managing Disruption With Modern Analytics

But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. Key topics covered: Eliminating friction points and coping with the continual disruptions through a modern data strategy approach.

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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management.

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

Logistics Viewpoints

data extractors, search APIs) to perform tasks, enabling them to dynamically adjust to new information and real-time knowledge sources. Improve Data Quality: AI Agents improve data quality, enabling access to real-time information, enhancing decision-making capabilities in supply chain operations.