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Forecasting trends with aggregated flatbed data

FreightWaves SONAR

Housing starts are calling for lumber kits, industrial purchasers are ordering products for their projects, and construction companies are planning their moves and strategies for the year. Shippers often manage transportation for these projects with historical data, bids from trusted carriers and a lot of guesswork.

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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

What is Machine Learning ML is the computing engine behind AI and gives computers the ability to make sense of, and learn, from data to perform specific tasks without manual interference. Nine areas where AI can help manufacturers There are several ways in which data and AI can be applied in the manufacturing industry. The Industry 4.0

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Overcoming Black Friday purchasing and warehouse challenges

EazyStock

This year, purchasing teams are also facing continued challenges due to global supply chain and logistics pressures, component shortages, and soaring prices for electricity and fuel. The key is to keep track of your inventory planning and purchasing processes. It is also important to consider qualitative data.

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Overcoming Black Friday purchasing and warehouse challenges

EazyStock

This year, purchasing teams are also facing continued challenges due to global supply chain and logistics pressures, component shortages, and soaring prices for electricity and fuel. The key is to keep track of your inventory planning and purchasing processes. It is also important to consider qualitative data.

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Improving Supply Chain Visibility: The Impact of Data Strategy

3PL Links

Improving Supply Chain Visibility: The Impact of Data Strategy | Image source: Pixabay A business-contextualized data approach is crucial for boosting supply chain visibility, especially during downturns. This requires knowing precisely what details should be collected and trusting the sources of this data.

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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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Leverage freight data for confident demand planning

FreightWaves SONAR

Lack of data, lack of conviction and lack of organizational agility all conspire to keep companies from recognizing medium-term opportunities and challenges and responding decisively. It’s hard to find good data that provides a view into the next few months of consumer behavior and economic activity.