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How We Use Data to Better Plan for Produce Season

FreightWaves SONAR

This is where being able to monitor tender data at the market level can become your secret superpower. Take, for example, the market of Twin Falls, Idaho in comparison to Lakeland, Florida. Tender data uniquely uncovers greater visibility into volumes and supply/demand metrics where seasonal impacts will make an impact.

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How to Improve your Manufacturing Processes with Business Intelligence

SYSPRO Smarter ERP

In recent years, the amount of data available to most companies has exploded. Common issues include: Lack of data-source integration. The ability to gather and compare data from multiple sources is vital to making real-time decisions. Data warehousing costs rise. Scarce manpower. Human error.

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Nine Key Steps to Enabling Resilient Supply Chains

Logistics Viewpoints

Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. <br>- Use external data for forward-looking decisions.

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Why A Successful Transportation Management Program Is Empowered By Data

GlobalTranz

6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. In this post we will talk about how you can improve your transportation management program by focusing on using data, extracted from the use of technology, such as a transportation management system, that then people can use to continuously improve.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lengthy time to plan/execute.

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Active Supply Chain Design: A Key Imperative for De Risking Supply Chains

Logistics Viewpoints

The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.

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What’s Big Data in Supply Chain & Logistics? Why Should I Be Looking at This Tech Trend?

GlobalTranz

Data reflect all the small, seemingly insignificant details of the modern world. From a review of your personal bank account spending habits to larger, more advanced processing capabilities, data evolve and expand with each passing day. When Did Big Data in Supply Chain Become a Game-Changer? .