Record heat waves are wreaking havoc across the globe. The stage is set for shippers and carriers to step up their carbon-reduction efforts before it’s too late.
Diane Rand is Associate Editor and has several years of magazine editing and production experience. She previously worked as a production editor for Logistics Management and Supply Chain Management Review. She joined the editorial staff in 2015. She is responsible for managing digital, editorial, and production projects for DC Velocity and its sister magazine, Supply Chain Quarterly.
As many of us in the supply chain industry continue to worry about high fuel costs, inflation, the labor shortage, and new waves of Covid-19 variants, I think we have an even more pressing problem—the record heat waves that are burning up large swaths of the planet this summer. We’ve understandably been distracted for the past two and a half years by the pandemic and its impact on our supply chains, yet Mother Nature seems to be sending more frequent and urgent messages lately. For shippers and carriers, the time is now to step up their sustainability efforts before it’s too late.
In the 2022 “State of Logistics Report,” released in June by the Council of Supply Chain Management Professionals (CSCMP) and global consulting firm Kearney, and presented by Penske Logistics, the authors point out that in the past century, global temperatures have increased an average of 0.13 degrees Fahrenheit each decade. This alarming figure has not gone unnoticed by the logistics and supply chain community. Large carriers are implementing a wide range of sustainability programs, from reducing carbon in packaging to using clean energy in their facilities and moving toward sustainable aviation fuel. Big shippers are looking to do their part as well. For example, Unilever has set an aggressive goal of reaching net-zero emissions by 2039 by transitioning to renewable energy and adopting sustainable practices throughout its logistics network.
Another encouraging trend noted in the report is “a growing movement toward a new standard called ‘Scope 3.’” As the report explains, Scope 3 “is an internationally recognized metric for measuring emissions not only within a single organization, but across its entire value chain.” Released in 2011, Scope 3 was developed to help shippers and carriers work together toward shared sustainability goals. As more companies adopt Scope 3, shippers can use these emissions metrics to assess their suppliers’ sustainability practices, while carriers can use their Scope 3 expertise and capabilities to differentiate themselves from the competition, the report’s authors say.
In addition to Scope 3, the authors also point to the Science Based Targets initiative (SBTi), a measurement tool that companies can adopt alongside their suppliers and customers to set common goals and track carbon impact together. A recent study of company executives from SBTi-committed businesses revealed that one-third saw a positive effect on their bottom line, while more than 50% believe that the SBTi initiative gives them a competitive advantage.
While it’s clear that companies are working aggressively to reduce greenhouse gas emissions, are all these efforts enough? It certainly seems like the industry is heading in the right direction. Hopefully, more shippers and carriers will work together to synchronize their supply chain sustainability goals.
If they can keep the momentum going, we just may be able to reach those greenhouse gas reduction targets. The report’s authors seem optimistic that “interconnected objectives and joint Scope 3-SBTi tracking could accelerate the attainment of net-zero emissions … well in advance of standard 2050 timeline aspirations.” Let’s hope they are right.
To download the full “State of Logistics Report,” visit cscmp.org.
The New Hampshire-based cargo terminal orchestration technology vendor Lynxis LLC today said it has acquired Tedivo LLC, a provider of software to visualize and streamline vessel operations at marine terminals.
According to Lynxis, the deal strengthens its digitalization offerings for the global maritime industry, empowering shipping lines and terminal operators to drastically reduce vessel departure delays, mis-stowed containers and unsafe stowage conditions aboard cargo ships.
Terms of the deal were not disclosed.
More specifically, the move will enable key stakeholders to simplify stowage planning, improve data visualization, and optimize vessel operations to reduce costly delays, Lynxis CEO Larry Cuddy Jr. said in a release.
German third party logistics provider (3PL) Arvato has agreed to acquire ATC Computer Transport & Logistics, an Irish company that provides specialized transport, logistics, and technical services for hyperscale data center operators, high-tech freight forwarders, and original equipment manufacturers, the company said today.
The acquisition aims to unlock new opportunities in the rapidly expanding data center services market by combining the complementary strengths of both companies.
According to Arvato, the merger will create a comprehensive portfolio of solutions for the entire data center lifecycle. ATC Computer Transport & Logistics brings a robust European network covering the major data center hubs, while Arvato expands this through its extensive global footprint.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
The Dutch ship building company Concordia Damen has worked with four partner firms to build two specialized vessels that will serve the offshore wind industry by transporting large, and ever growing, wind turbine components, the company said today.
The first ship, Rotra Horizon, launched yesterday at Jiangsu Zhenjiang Shipyard, and its sister ship, Rotra Futura, is expected to be delivered to client Amasus in 2025. The project involved a five-way collaboration between Concordia Damen and Amasus, deugro Danmark, Siemens Gamesa, and DEKC Maritime.
The design of the 550-foot Rotra Futura and Rotra Horizon builds on the previous vessels Rotra Mare and Rotra Vente, which were also developed by Concordia Damen, and have been operating since 2016. However, the new vessels are equipped for the latest generation of wind turbine components, which are becoming larger and heavier. They can handle that increased load with a Roll-On/Roll-Off (RO/RO) design, specialized ramps, and three Liebherr cranes, allowing turbine blades to be stowed in three tiers, providing greater flexibility in loading methods and cargo configurations.
“For the Rotra Futura and Rotra Horizon, we, along with our partners, have focused extensively on energy savings and an environmentally friendly design,” Concordia Damen Managing Director Chris Kornet said in a release. “The aerodynamic and hydro-optimized hull design, combined with a special low-resistance coating, contributes to lower fuel consumption. Furthermore, the vessels are equipped with an advanced Wärtsilä main engine, which consumes 15 percent less fuel and has a smaller CO₂ emission footprint than current standards.”
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.