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Five Reasons Why Are We Not Making Progress on Inventory Management

Supply Chain Shaman

At the session, we discussed why companies have not made more progress on inventory management. The presentation is on slideshare.) In the case of Apparel and Automotive industries there are slight improvements, but they have shifted inventories to suppliers. Days of Inventory Pre and Post-Recession. Five Reasons.

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2024: Planning for Success Amid the Uncertainty

Logistics Viewpoints

It’s human nature to want to start a new year with new goals—the ever-present new year’s resolutions. Logistics and inventory management rounds out the top four focus areas at 82 percent. Other critical functions include order management, manufacturing, and product development.

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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

The robots can perform various tasks, such as transporting goods, picking orders, sorting items, and replenishing inventory. Predictive Analytics Predictive analytics is the use of AI and ML to analyze data and make predictions about future outcomes, events, or behaviors.

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5 benefits of Inventory Management

Vinculum

Last week, We posted a question on social media “At present, What do you think is the biggest Omnichannel Retailing challenge?”. Inventory management is without doubt one of the most challenging aspects when it comes to retail and eCommerce. Let’s start with the basic question: What is Inventory Management?

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The Value of a Manufacturing Control Tower in Industrial Equipment Manufacturing

DELMIA Quintiq

The app also cannot pinpoint your present location—giving vague and significantly delayed information at best. The MCT provides centralized data management capabilities with near-real-time visibility in a unified view of the current conditions in factories and operations. Why does Industrial Equipment need MCT?

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4 Ways Big Data is Changing Inventory Management

EazyStock

Processing a large volume of information the main benefit of big data analytics. However, having high data volumes without using the proper technology infrastructure can create more problems than value. Big data is heavily influenced by 4 main components including: volume, velocity, variety and veracity.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. The decline in inventory turns uses cash. Insights from market data to drive bi-directional orchestration.