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

Logistics Viewpoints

For example, price-conscious consumers don’t need an expensive next-day delivery option; instead, delivery service with a longer lead time but lower cost will appeal to this group. By mapping customer delivery personas to the delivery choices they offer, retailers can improve fulfillment certainty to protect margins.

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Fleet Route Optimisation in the Past, Present, and Future

Logistics Bureau

Indeed, the transition has taken place so swiftly that some companies may still need to fully grasp the present or future possibilities to exploit distribution performance as a competitive advantage. In reality, it would take several rounds of fine-tuning to get all the orders sorted into routes without leaving any vehicles underutilised.”

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TGW Presents the Future Fulfilment Centre

Logistics Business Magazine

The TGW Logistics Group will demonstrate its Future Fulfilment Centre – how it works, how users can benefit from its advantages, and what technology it uses – for visitors at the LogiMAT intralogistics trade fair in Stuttgart from 25 to 27 April. This means that it fulfils tasks independently, optimises processes and is constantly learning.

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Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

Logistics Viewpoints

Data security at the edge also presents risks. Environmental factors present additional challenges. Examples of Real-World Applications Several logistics companies have already integrated edge computing into their operations in specific use cases.

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Editor’s Choice: WMS Budget – Room for an Implementation?

Logistics Viewpoints

Today’s article comes from Eric Mcpherson at Open Sky Group and looks at a WMS budget and preparing for implementation. Transitioning from legacy systems presents hurdles that add to the true cost. For example, monthly subscription fees, any software support charges, and data migration fees.

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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. What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. ARC has been actively studying industrial AI for over two years.

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 STILL presents smart solutions in wide-ranging announcement

Logistics Business Magazine

For example, it is possible to run the DIN EN 16796 cycle with the new RXE 10- 16C in such a way that energy consumption is up to 17% lower than was possible with its predecessor, the RX 50 – despite the greater vehicle mass. For example, major customers should increasingly be advised and supported independently of brands.