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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics. Key Insight: The use of AI in supply chain automation is producing tangible benefits across procurement, warehousing, and logistics.

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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden. Businesses face heightened uncertainty in managing costs and securing stable energy supplies. Reducing packaging volume and weight also decreases transportation emissions.

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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Ability to Meet Fulfillment Goals According to the survey, only a mere 1% of respondents achieve 80% or higher for their OTIF metrics, with the average percentage of OTIF being a mediocre 62.21%.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Next Steps: Start to model demand based on market data to align the organization on baseline demand. Resist the temptation to place deeper analytics on top of existing data models. Instead, rethink the model and the approach. Out of desperation, they turned to the use of descriptive analytics. Next Steps.

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How to Procure Full Truckloads in Tight Capacity

GlobalTranz

Unfortunately, the use of full truckload shipments and expenditures have hit an all-time high, reports Kate Patrick of Supply Chain Dive. Decreasing capacity and increasing full truckload rates are expected to increase throughout 2018, reports Freight Waves. Benchmarking progress and use of all transportation modes.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Improve cross-government data sharing and analyze resilience. Expand the “FLOW” program for logistics information sharing to forecast transportation flow. For example, change the business models so that Ariba must interoperate with GT Nexus, E2Open with Elemica, MPO (Kinaxis) with Nulogy, etc.

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You Should Be Worried. Supply Chains Are Not OK. Let’s Lock Arms To Drive Change

Supply Chain Shaman

” I do not believe in big government and I hate politics. Background on Ocean Transport. The need for data synchronization increases with the growth of nodes, the increase of the number of parties handling the freight, and the use of multiple modes of transport. The average purchase order changes 3-4X before shipment.