Uber Freight, the freight brokerage arm of ridesharing firm Uber Technologies Inc., launched a real-time freight-quoting tool that allows shippers to lock in rates up to two weeks in advance, the company said today.
Powered by machine learning, Uber Freight's Lane Explorer is a predictive pricing tool that lets shippers view real-time market rates on their freight lanes so they can build loads that lock-in those rates, according to the company.
Uber Freight says the tool is like "Google Flights" for the freight industry, allowing users to search and compare availability and pricing from different carriers.
"Until now, the best way to get an accurate quote on a shipment was to call or email a truck and negotiate a load price," said Stefan Sohlstrom, product manager at Uber Freight. "Most shippers don't have time to do that, so they rely on their knowledge of past rates to know whether they're getting a good price for their freight. Lane Explorer is like calling up thousands of trucks for every day and every lane simultaneously, and seeing the best rate for each lane."
Uber Freight shipper Narragansett Beer has seen immediate improvements in efficiency and operations since implementing Lane Explorer, according to Narragansett's Vice President of Sales, Bill Heslam.
"One of the most important things about the Uber Freight platform is the transparency," Heslam said in a statement announcing the new tool. "It's great to be able to look at a two-week window and decide whether or not it makes sense to ship it on a Monday, Wednesday, or the following Monday. That visibility is something I haven't seen anybody else do."
Lane Explorer is available to any Uber Freight shipper, the company said.
A measure of business conditions for shippers improved in September due to lower fuel costs, looser trucking capacity, and lower freight rates, but the freight transportation forecasting firm FTR still expects readings to be weaker and closer to neutral through its two-year forecast period.
Bloomington, Indiana-based FTR is maintaining its stance that trucking conditions will improve, even though its Shippers Conditions Index (SCI) improved in September to 4.6 from a 2.9 reading in August, reaching its strongest level of the year.
“The fact that September’s index is the strongest since last December is not a sign that shippers’ market conditions are steadily improving,” Avery Vise, FTR’s vice president of trucking, said in a release.
“September and May were modest outliers this year in a market that is at least becoming more balanced. We expect that trend to continue and for SCI readings to be mostly negative to neutral in 2025 and 2026. However, markets in transition tend to be volatile, so further outliers are likely and possibly in both directions. The supply chain implications of tariffs are a wild card for 2025 especially,” he said.
The SCI tracks the changes representing four major conditions in the U.S. full-load freight market: freight demand, freight rates, fleet capacity, and fuel price. Combined into a single index, a positive score represents good, optimistic conditions, while a negative score represents bad, pessimistic conditions.
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.”
Specifically, loaded import volume rose 11.2% in October 2024, compared to October 2023, as port operators processed 81,498 TEUs (twenty-foot containers), versus 73,281 TEUs in 2023, the port said today.
“Overall, the Port’s loaded import cargo is trending towards its pre-pandemic level,” Port of Oakland Maritime Director Bryan Brandes said in a release. “This steady increase in import volume in 2024 is an encouraging trend. We are also seeing a rise in US agricultural exports through Oakland. Thanks to refrigerated warehousing on Port property near the maritime terminals and convenient truck and rail access, we are well-positioned to continue to grow ag export cargo volume through the Oakland Seaport.”
Looking deeper into its October statistics, loaded exports declined 3.4%, registering 66,649 TEUs in October 2024, compared to 68,974 TEUs in October 2023. Despite that slight decline, the category has grown 6.7% between January and October 2024 compared to the same period last year.
In fact, Oakland’s exports have been declining over the past decade, a long-term trend that is largely due to the reduction in demand for recycled paper exports. However, agricultural exports have made up for some of the export losses from paper, the port said.
For the fourth quarter, empty exports bumped up 30.6%. Port operators processed 29,750 TEUs in October 2024, compared to 22,775 TEUs in October 2023. And empty imports increased 15.3%, with 15,682 TEUs transiting Port facilities in October 2024, in contrast to 13,597 TEUs in October 2023.
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.