Data Events Scenario Planning 
Logistics Viewpoints
MAY 23, 2024
Situation Companies are increasingly confronted with complex planning scenarios due to predictable events such as mergers and acquisitions, category expansions, supplier changes, and distribution evolution, as well as disruptive events including demand volatility, material shortages, capacity constraints, and logistical surprises.
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.
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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.
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. An event upstream in a different country or region can cause considerable disruption downstream. 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
AUGUST 26, 2024
Heavy research and development investments are being made in supply chain solutions. Most of the large suppliers of supply chain applications have moved their solutions to the Cloud. Executives at Blue Yonder refer to this as a “cliff event.” Blue Yonder is investing $1 billion over three years in their solutions.
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: Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva
Risk management is defined as anticipating and responding to an event not yet part of the plan of record that requires a significant adjustment in your demand-supply network (DSN). COVID-19 has put risk management at the front and center in the supply chain world. How to avoid data-driven disasters.
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