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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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Effective Stock Replenishment: Why you need it & how to achieve it

EazyStock

Stock replenishment is an important aspect of inventory management, as it ensures the right stock items are being reordered to meet customer demand. Stock (or inventory) replenishment is the process of moving items along the supply chain so they are ready to be picked and shipped, thus fulfilling orders on time.

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7 Benefits Realized Utilizing Big Data to Optimize Supply Chains

GlobalTranz

The company focuses on high tech industries such as telecome , data storage, data centers, bio-medicine, and any company who needs supply chain visibility and proactive supply chain services for replacement parts and more. Improved Demand Planning – still another benefit is that you can really predict and meet demand.

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Why near-real-time electronic freight tender trucking data is more reliable than waiting on submitted data

FreightWaves SONAR

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

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4 Top Strategies to Enable Efficient Shelf Replenishment

Locus

In today’s fast-paced retail world, efficient shelf replenishment is crucial. We’ll look at four strategies to optimize shelf replenishment, reducing stockouts, improving inventory management, cutting waste, and boosting productivity. Let’s dive into these four pathways for efficient shelf replenishment and retail success.

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Digital Transformation Journey in Supply Chain Planning

Logistics Viewpoints

Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats. Planners spend their precious time collecting and synthesizing the data to drive insights.

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Autonomous Planning in Supply Chain: 4 Must-Haves for Next-Generation Platforms

Logistics Viewpoints

According to data from a recent research survey, the following were on top of the supply chain headaches not addressed by their current systems: Supply shortages due to supplier’s inability to meet expected performance targets. Data cleansing and data robustness. Network cost modeling. Automated forecasting processes.