The ocean freight carrier and logistics solution provider CMA CGM today announced the winners of its “startup awards” for new companies in the shipping, logistics, and media sectors.
The French company named seven winners from along more than 400 entries and 60 finalist startups. Each winner will receive personalized support from CMA CGM’s startup incubator division, “Zebox,” funding of up to $158,000, and opportunities to work with the CMA CGM Group to accelerate their development.
According to the company, the top startups stood out for the viability of their project, their level of innovation, and their impact and synergy with the CMA CGM Group’s activities. Winners were chosen by a jury including members of CMA CGM Executive Committee, experts from different business sectors, and representatives of venture capital funds (VCs). This was the inaugural version of a planned annual contest, and was organized in partnership with BFM Business, La Tribune, and Zebox.
Maritime sector awards:
• Sébastien Fiedorow, CEO of Aerleum, is developing groundbreaking technology to produce synthetic fuels from atmospheric CO2.
• Valéry Prunier, CEO of Elonroad, offers an electric charging system via rail for all vehicles and rolling equipment at terminals.
• Michiel Gunsing, founder of GBMS, develops a tool that measures ship motions and calculates all the forces acting on the container stacks, showing this information in real time to the crew.
• Friederike Hesse, co-founder of ZERO44, offer software that enables shipping companies to find the most economically viable compliance strategies for carbon regulations (CII, EU ETS, FuelEU) and to reach carbon zero.
Logistics Awards:
• Rodolphe Vogt, CEO of Okular Logistics, provides smart cameras and AI-powered analytics to automate warehouse operations, ensuring real-time inventory accuracy, reducing costs, and enhancing productivity.
• Bart Gadeyne, CEO of Optioryx, uses AI-driven microservices to fill intelligence gaps in WMS and TMS systems through integrable add-ons, boosting supply chain processes with a focus on dimensioning, picking, and packing.
Media Award:
• Laodis Menard, CEO of Argil, offers the ability to Generate videos with humanlike avatars in 2 minutes
Jury Prize award:
• Charles Cohen, CEO of Bodyguard, provides an AI-powered social monitoring and moderation solution, seamlessly integrating into social networks and platforms of all sizes to safeguard communities and brands from toxic content.
Amazon package deliveries are about to get a little bit faster—thanks to specially outfitted delivery vans and the magic of AI.
Last month, the mega-retailer introduced its Vision-Assisted Package Retrieval (VAPR)solution, an AI (artificial intelligence)-powered system designed to cut the time it takes drivers to retrieve packages from the back of the van.
According to Amazon, VAPR kicks in when the van arrives at a delivery location, automatically projecting a green “O” on all packages that will be delivered at that stop and a red “X” on all other packages. Not only does that allow the driver to find the right package in seconds, the company says, but it also eliminates the need to organize packages by stop, read and scan labels, and manually check the customer’s name and address to ensure they have the right parcels. As Amazon puts it, “[Drivers] simply have to look for VAPR’s green light, grab, and go.”
The technology combines artificial intelligence (AI) with Amazon Robotics Identification (AR-ID), a form of computer vision originally developed to help fulfillment centers speed up putaway and picking operations. Linked to the van’s delivery route navigation system, AR-ID replaces the need for manual barcode scanning by using specially designed light projectors and cameras mounted inside the van to locate and decipher multiple barcodes in real time, according to the company.
In field tests, VAPR reduced perceived physical and mental effort for drivers by 67% and saved more than 30 minutes per route, Amazon says. The company now plans to roll out VAPR in 1,000 Amazon electric delivery vans from Rivian by early 2025.
Hackers are beginning to extend their computer attacks to ever-larger organizations in their hunt for greater criminal profits, which could drive an anticipated increase in credit risk and push insurers to charge more for their policies, according to the “2025 Cyber Outlook” from Moody’s Ratings.
In Moody’s forecast, cyber risk will intensify in 2025 as attackers switch tactics in response to better corporate cyber defenses and as advances in artificial intelligence increase the volume and sophistication of their strikes. Meanwhile, the incoming Trump administration will likely scale back cyber defense regulations in the US, while a new UN treaty on cyber crime will strengthen the global fight against this threat, the report said.
“Ransomware perpetrators are now targeting larger organizations in search of higher ransom demands, leading to greater credit impact. This shift is likely to increase the cyber risk for entities rated by Moody's and could lead to increased loss ratios for cyber insurers, impacting premium rates in the U.S.," Leroy Terrelonge, Moody’s Ratings Vice President and author of the Outlook report, said in a statement.
The warning comes just weeks after global supply chain software vendor Blue Yonder was hit by a ransomware attack that snarled many of its customers’ retail, labor, and transportation platforms in the midst of the winter holiday shopping surge.
That successful attack shows that while larger businesses tend to have more advanced cybersecurity defenses, their risk is not necessarily diminished. According to Moody’s, their networks are generally more complex, making it easier to overlook vulnerabilities, and when they have grown in size over time, they are more likely to have older systems that are more difficult to secure.
Another factor fueling the problem is Generative AI, which will will enable attackers to craft personalized, compelling messages that mimic legitimate communications from trusted entities, thus turbocharging the phishing attacks which aim to entice a user into clicking a malicious link.
Complex supply chains further compound the problem, since cybercriminals often find the easiest attack path is through third-party software suppliers that are typically not as well protected as large companies. And by compromising one supplier, they can attack a wide swath of that supplier's customers.
In the face of that rising threat, a new Republican administration will likely soften U.S. cyber regulations, Moody’s said. The administration will likely roll back cybersecurity mandates and potentially curtail the activities of the US Cybersecurity and Infrastructure Security Agency (CISA), thus heightening the risk of cyberattack.
Although many shoppers will
return to physical stores this holiday season, online shopping remains a driving force behind peak-season shipping challenges, especially when it comes to the last mile. Consumers still want fast, free shipping if they can get it—without any delays or disruptions to their holiday deliveries.
One disruptor that gets a lot of headlines this time of year is package theft—committed by so-called “porch pirates.” These are thieves who snatch parcels from front stairs, side porches, and driveways in neighborhoods across the country. The problem adds up to billions of dollars in stolen merchandise each year—not to mention headaches for shippers, parcel delivery companies, and, of course, consumers.
Given the scope of the problem, it’s no wonder online shoppers are worried about it—especially during holiday season. In its annual report on package theft trends, released in October, the
security-focused research and product review firm Security.org found that:
17% of Americans had a package stolen in the past three months, with the typical stolen parcel worth about $50. Some 44% said they’d had a package taken at some point in their life.
Package thieves poached more than $8 billion in merchandise over the past year.
18% of adults said they’d had a package stolen that contained a gift for someone else.
Ahead of the holiday season, 88% of adults said they were worried about theft of online purchases, with more than a quarter saying they were “extremely” or “very” concerned.
But it doesn’t have to be that way. There are some low-tech steps consumers can take to help guard against porch piracy along with some high-tech logistics-focused innovations in the pipeline that can protect deliveries in the last mile. First, some common-sense advice on avoiding package theft from the Security.org research:
Install a doorbell camera, which is a relatively low-cost deterrent.
Bring packages inside promptly or arrange to have them delivered to a secure location if no one will be at home.
Consider using click-and-collect options when possible.
If the retailer allows you to specify delivery-time windows, consider doing so to avoid having packages sit outside for extended periods.
These steps may sound basic, but they are by no means a given: Fewer than half of Americans consider the timing of deliveries, less than a third have a doorbell camera, and nearly one-fifth take no precautions to prevent package theft, according to the research.
Tech vendors are stepping up to help. One example is
Arrive AI, which develops smart mailboxes for last-mile delivery and pickup. The company says its Mailbox-as-a-Service (MaaS) platform will revolutionize the last mile by building a network of parcel-storage boxes that can be accessed by people, drones, or robots. In a nutshell: Packages are placed into a weatherproof box via drone, robot, driverless carrier, or traditional delivery method—and no one other than the rightful owner can access it.
Although the platform is still in development, the company already offers solutions for business clients looking to secure high-value deliveries and sensitive shipments. The health-care industry is one example: Arrive AI offers secure drone delivery of medical supplies, prescriptions, lab samples, and the like to hospitals and other health-care facilities. The platform provides real-time tracking, chain-of-custody controls, and theft-prevention features. Arrive is conducting short-term deployments between logistics companies and health-care partners now, according to a company spokesperson.
The MaaS solution has a pretty high cool factor. And the common-sense best practices just seem like solid advice. Maybe combining both is the key to a more secure last mile—during peak shipping season and throughout the year as well.
In a push to automate manufacturing processes, businesses around the world have turned to robots—the latest figures from the Germany-based International Federation of Robotics (IFR) indicate that there are now 4,281,585 robot units operating in factories worldwide, a 10% jump over the previous year. And the pace of robotic adoption isn’t slowing: Annual installations in 2023 exceeded half a million units for the third consecutive year, the IFR said in its “World Robotics 2024 Report.”
As for where those robotic adoptions took place, the IFR says 70% of all newly deployed robots in 2023 were installed in Asia (with China alone accounting for over half of all global installations), 17% in Europe, and 10% in the Americas. Here’s a look at the numbers for several countries profiled in the report (along with the percentage change from 2022).
Investing in artificial intelligence (AI) is a top priority for supply chain leaders as they develop their organization’s technology roadmap, according to data from research and consulting firm Gartner.
AI—including machine learning—and Generative AI (GenAI) ranked as the top two priorities for digital supply chain investments globally among more than 400 supply chain leaders surveyed earlier this year. But key differences apply regionally and by job responsibility, according to the research.
Twenty percent of the survey’s respondents said they are prioritizing investments in traditional AI—which analyzes data, identifies patterns, and makes predictions. Virtual assistants like Siri and Alexa are common examples. Slightly less (17%) said they are prioritizing investments in GenAI, which takes the process a step further by learning patterns and using them to generate text, images, and so forth. OpenAI’s ChatGPT is the most common example.
Despite that overall focus, AI lagged as a priority in Western Europe, where connected industry objectives remain paramount, according to Gartner. The survey also found that business-led roles are much less enthusiastic than their IT counterparts when it comes to prioritizing the technology.
“While enthusiasm for both traditional AI and GenAI remain high on an absolute level within supply chain, the prioritization varies greatly between different roles, geographies, and industries,” Michael Dominy, VP analyst in Gartner’s Supply Chain practice, said in a statement announcing the survey results. “European respondents were more likely to prioritize technologies that align with Industry 4.0 objectives, such as smart manufacturing. In addition to region differences, certain industries prioritize specific use cases, such as robotics or machine learning, which are currently viewed as more pragmatic investments than GenAI.”
The survey also found that:
Twenty-six percent of North American respondents identified AI, including machine learning, as their top priority, compared to 14% of Western Europeans.
Fourteen percent of Western European respondents identified robots in manufacturing as their top choice compared to just 1% of North American respondents.
Geographical variances generally correlated with industry-specific priorities; regions with a higher proportion of manufacturing respondents were less likely to select AI or GenAI as a top digital priority.
Digging deeper into job responsibilities, just 12% of respondents with business-focused roles indicated GenAI as a top priority, compared to 28% of IT roles. The data may indicate that GenAI use cases are perceived as less tangible and directly tied to core supply chain processes, according to Gartner.
“Business-led roles are traditionally more comfortable with prioritizing established technologies, and the survey data suggests that these business-led roles still question whether GenAI can deliver an adequate return on investment,” said Dominy. “However, multiple industries including retail, industrial manufacturers and high-tech manufacturers have already made GenAI their top investment priority.”