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IBP Scenario Modeling for Recovery, Restructuring and Resilience

AIMMS

Those that also leverage scenarios in IBP are even better prepared to deal with the supply chain shocks caused by COVID-19. Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Let’s explore them briefly in this blog post.

Modeling 406
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Amul’s Optimized Supply Chain: Driving Global Growth in the Dairy Industry

Logistics Viewpoints

India’s growth story can continue if it streamlines and effectively manages its supply chain like the iconic dairy brand Amul that recently entered the US market. Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. AI is not a new technology in the supply chain realm; it has been used in some cases for decades.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. Amazon is a leader in AI-driven supply chain management.

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Beyond Cost Optimization: Building Resilient Supply Chains in an Unstable Trade Environment

Logistics Viewpoints

For years, supply chains were engineered to be lean. Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Lean models alone are no longer sufficient. Why Current Supply Chains Struggle The common failure points are not surprising.

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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

Balancing forecast accuracy with inventory management gets more challenging every day. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. Traditional approaches often divide departments like sales, marketing, and production.

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How to Optimize Demand Forecasting: Probabilistic Solutions

ToolsGroup

But many supply chain practitioners dont realize that the most common approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. Companies that rely solely on deterministic models are struggling to keep up with demand fluctuations.