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Last Mile Delivery Optimization Strategies for 2025

WorkWave

As customers increasingly demand rapid and reliable delivery, optimizing this final leg of transportation becomes essential for businesses aiming to enhance customer satisfaction and operational efficiency. Key Benefits of Last-Mile Delivery Optimization: Reduction in operational costs and fuel consumption.

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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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Top Transportation Technology Trends

Logistics Viewpoints

However, their predictions are based, in part, on a survey of more than 250 global shippers and logistic service providers. The survey covered what technologies they are currently using as well as their planned investments. More advanced solutions include real-time transportation visibility, route optimization, and telematics.

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AI in manufacturing

SYSPRO Smarter ERP

A 2023 survey by McKinsey reported that 79 percent of all respondents had at least some exposure to gen AI, either for work or outside of work. ML and DL are mainly used in data analysis, classification, clustering, and ranking. ML models learn from data. The use and discussion of AI has become common. How does AI work?

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Digital Transformation in Logistics

Logistics Viewpoints

ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. This survey-based research gathers quantitative data as well as information on practices or performance drivers. Within these areas, respondents are at the low end of the maturity model.

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Overcoming the Top 5 Barriers for Supply Chain Network Design Adoption

AIMMS

When you finally have the analysis, everything’s changed, and the results are no longer relevant. Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . The technology should also allow for model changes on the fly to help you adapt to changing business conditions.

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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.