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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. Read on for common use cases. .

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Alleviating the Uncertainty of Peak Season: The Role of Home Delivery in 2024

Logistics Viewpoints

The onus is on ecommerce retailers to control the controllables, and focusing on eliminating uncertainty from the consumer fulfillment process and optimizing the last mile is a smart approach. Similarly, maintaining a strong chain of custody (e.g.,

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Retailers Need E-Commerce Partnerships to Secure International Commerce

Material Handling and Logistics

But as commerce dynamics have changed to include direct-to-consumer channels, private-label retail and digital native brands, global brands and retailers are actively testing and implementing new business models and partnerships to stay competitive in this increasingly complex landscape.

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Navigating M&A Trends in the Transportation, Logistics, and Energy Storage Space

Logistics Viewpoints

Additionally, customer demand for green solutions is surging, with a McKinsey survey indicating that 60% of consumers are willing to pay a premium for sustainable delivery services. As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. Read on for common use cases. .

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

According to a survey by ARC Advisory Group, only 10% of industrial companies are ready to apply artificial intelligence/machine learning. ARC has been actively studying industrial AI for over two years. We needed to model the data in a way that we can do simple searching. Celanese is an exception. Data governance is critical.

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Ways to Use AI for Supply Chain Optimization

ShipLilly

Maintenance is carried out at optimal stages rather than following a timetable that may be written without any insight into when and how a piece of equipment is going to break down. Function 2: Optimizing manufacturing processes. Companies are optimizing their manufacturing processes through artificial intelligence. Wrapping up.