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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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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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Automatic Replenishment: Everything You Need to Know

Conger

Want to learn about automatic replenishment? Keep reading to find out: What automatic replenishment is How it works Who can benefit from it Its advantages and disadvantages The different types Best practices for choosing a system and vendor And lots more! Table of Contents What Is Automatic Replenishment? Let’s dive in!

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4 Ways to Enhance Warehouse Efficiency with Prescriptive and Predictive Analytics

Logistics Viewpoints

Traditional slotting solutions require customized models, extensive engineering, measurement, and data collection. They learn the spatial characteristics of the DC, and predict task time based on activity-level data captured in the DC. Predictive analytics can inject some intelligence into this process.

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Autonomous Data Capture

Logistics Business Magazine

Real-time data, including inventory, enables structural visibility in logistics, which leads to better resource allocation, reduced downtime and improved customer service. Dexory’s robot (pictured) automated inventory management, providing instant, continuous data. She describes the machine as an ‘autonomous data capture unit’.

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Why is freight data a powerful weapon in the era of COVID-19?

FreightWaves SONAR

The COVID-19 crisis unveiled major issues within global supply chains and, as we have seen with SONAR freight data, volatility in the market. For those that make the right applications of freight data, the massive problems created by the pandemic could have been more easily mitigated.

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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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