Data Examples Scenario Planning 
Logistics Viewpoints
AUGUST 15, 2024
Today’s supply chains are fraught with uncertainties across demand and supply yet are tasked with adding incremental value to their organizations while also meeting commercial, working capital and sustainability goals. The challenge for supply chain teams lies in increasing knowledge to create value amid this complexity.
Logistics Viewpoints
SEPTEMBER 19, 2024
Over the last two decades, there has been a significant focus on increasing the speed of supply chain planning solutions. However, you may have noticed that the increase in the speed of supply chain planning solutions is not resulting in better decisions, improved performance, or much-needed supply chain agility.
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Logistics Viewpoints
MAY 9, 2024
When planning your weekend, you might check a 5-day weather forecast, which provides probabilities of rain, sunshine, or cloudy skies. Another example is commuting. Recently, Steve Banker wrote an article about taking a flight and planning the drive to the airport. The supply chain is no exception.
Logistics Viewpoints
JULY 10, 2024
ARC Advisory Group has been covering the Supply Chain Planning ( SCP ) market for 17 years. The pandemic brought home the need for companies to run agile and resilient supply chains. Supply chain agility reflects a company’s ability to respond quickly to surges or plummeting demand.
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Today's supply chains are networked, global ecosystems. The COVID-19 pandemic is an extreme example of how this unfolds in practice. How prepared are supply chain teams to react and recover from a planning maturity stance? Time allocated to data collection: Data quality is a considerable pain point.
Logistics Viewpoints
JANUARY 23, 2024
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
Logistics Viewpoints
APRIL 4, 2024
Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
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. Lack of skilled resources. Don’t have the right tools/tools are too complex or expensive.
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