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4 Ways to Enhance Warehouse Efficiency with Prescriptive and Predictive Analytics

Logistics Viewpoints

Predictive and prescriptive analytics have emerged as valuable tools that enable warehouse operations managers to streamline processes, minimize costs, and enhance productivity. Traditional slotting solutions require customized models, extensive engineering, measurement, and data collection.

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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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Data-driven inventory management: the secret to business success

EazyStock

In the rapidly evolving business landscape, staying ahead of the competition requires more than just good instincts – it demands data-driven decision making. When it comes to inventory management, relying on gut feelings and historical data may lead to inefficiencies, missed opportunities and incorrect inventory levels.

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Why Is Promotion Planning Important In Inventory Management?

Logistics Viewpoints

Promotion Management is defined as optimizing the utilization of tools, strategies, and resources to promote a product that will generate additional demand. During promotional management, especially for big events around special days and holidays, inventory levels need to be adjusted to meet the peaks in demand.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

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5 use cases of supply chain visibility and data for shippers

FreightWaves SONAR

Companies are rapidly adopting and using real-time data to clearly understand challenges to better mitigate unexpected problems when they arise. In fact, logisticians should consider these top five use cases of increased visibility and data within logistics and how they improve throughput.

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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.