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Big Data Analytics: A Key to a Successful Supply Chain in the Next 5 Years?

GlobalTranz

Big data utilization is the wave of the future for all aspects of business including supply chain management. The problem is that not every company has the resources to begin the process of big data management and have yet to see the extent of benefits it can provide to analyze and use such data management.

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How AI is transforming manufacturing Part 2: Inventory management

SYSPRO Smarter ERP

Companies struggling to manage their supply chains often lack data for decision making, have siloed systems and inefficient inventory management practices. Inventory management in the supply chain. Effective data management. AI in inventory management. Tracking issues.

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Big data and inventory management

EazyStock

What is big data? All successful businesses use data to develop strategies and review their outcomes. But as the number of systems being used increases, the amount of data available for consumption and analysis grows exponentially. The key for inventory management teams is to know what to do with it! Processing big data.

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Key Takeaways from SAP Spend Connect Live

Logistics Viewpoints

This solution allows human resource managers to review performance against over 50 external workforce key performance indicators, access global market intelligence (including rates, talent supply and demand, and time-to-hire trends), and track progress across diversity and worker health and safety initiatives.

SAP 144
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[WHITE PAPER] Data in the fast lane – managing automotive logistics amid component shortages

FreightWaves SONAR

In this report, we cover numerous datasets available through FreightWaves and the SONAR platform that can help automotive OEMs and automotive suppliers manage their transportation networks. Those data sets and use cases include: Freight market data to assist in negotiations with carriers. Request a SONAR Demo.

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Supply Chain Mastery: Innovative Strategies for Importers

MTS Logistics

By collaborating closely with their suppliers, importers can plan orders together, anticipate potential disruptions, and proactively manage inventory. Leveraging the power of data, importers can make informed decisions about their supply chain and achieve better results. Managing a supply chain can be a daunting task, but U.S.

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2023 supply chain and logistics management trends

EazyStock

As we step into the unknown of 2023, here are some key trends and issues affecting supply chain management to help you prepare your strategies. It can also make it harder for suppliers if you realize you’ve underestimated and need an urgent order. Machine learning analyses trends, recognizes anomalies and offers insights.