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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 And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences.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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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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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. Download the White Paper.

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6 Inventory Control Techniques for Stock Optimization

EazyStock

This keeps the data clean and easier to use for forecasting going forward. Look out for such trends in your historical demand data and adjust your forecasts accordingly. Qualitative factors: Add any qualitative forecasting factors into your data, such as sales promotions, competitor activity or external market events.

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How EazyStock Enhances Acumatica ERP Inventory Management

EazyStock

EazyStock is a cloud-based inventory optimization solution that integrates directly with your existing ERP to automatically feed data back and forth. Optimized Inventory Replenishment. With Acumatica you can manually set your replenishment parameters using the minimum/maximum quantity method (“min/max”).

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Product News Update: April 2020

EazyStock

A planned event is when your customer has a planned event where the future demand is known; for example scheduled repairs and maintenance. Instead, appropriate replenishment parameters can be calculated based on the unknown demand only, lowering tied-up capital and improving customer service levels. What’s new? How will this help you?

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Artificial intelligence and machine learning in supply chain management

EazyStock

For example, navigation apps, facial recognition, smart assistants, and even robot vacuum cleaners at home use this smart tech. AI can adapt in near-real-time to changing conditions and develop new knowledge by processing more data and revealing more patterns and trends than humans can. AI was once only seen in science fiction.