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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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Invest in These Capabilities to Drive Supply Chain Excellence

AIMMS

Our recent survey showed that only 17% of organizations make it a priority to invest in innovation. The report outlines the tools with the highest transformational benefits and capabilities that are becoming standard business practices. Firefighting is the norm. It can also be challenging to decide where to invest. What to prioritize.

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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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3 Ways to Make your Operational Execution More Robust with S&OE

AIMMS

We put together a survey with our partners at Districon to better understand these challenges and offer ideas for improvement. It provides an early warning system that helps business stakeholders sense and optimize their responses. The survey shows that volatility may have something to do with this staggering disparity.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. According to a survey by ARC Advisory Group, only 10% of industrial companies are ready to apply artificial intelligence/machine learning. We needed to model the data in a way that we can do simple searching. Data governance is critical.

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Overcoming the Top 5 Barriers for Supply Chain Network Design Adoption

AIMMS

Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . Lengthy time to plan/execute: a quarter of professionals surveyed complain that it takes too long to execute on network design efforts. . Not all tools are equally data- hungry and some are easier to use than others.

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Rise of the Industrial Data Scientist

Logistics Viewpoints

AIoT is built for industrial companies looking for better ways to connect their evolving workforce to data-driven decision tools and digitally augment work and business processes. The term “artificial intelligence of things or AIoT” is used to describe the confluence of AI and Industrial IoT (IIoT) technological forces.

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