As more DCs automate their receiving operations, suppliers risk steep fines if they don't comply with customers' labeling requirements. Here are some tips for staying out of trouble.
James Cooke is a principal analyst with Nucleus Research in Boston, covering supply chain planning software. He was previously the editor of CSCMP?s Supply Chain Quarterly and a staff writer for DC Velocity.
Slap a smudged bar-code label on a carton and the chances are pretty good that your customer will slap a fine on you. That's the reality for many suppliers these days, particularly if they ship to large and medium-sized companies.
And it's not just smudges suppliers have to worry about. Today's buyers have become downright picky about the way their shipments are coded and labeled. Not only do they want their suppliers to use a certain type of bar-code symbol, which generally varies by industry, but they're also likely to mandate a specific label format, type, and placement on a carton or pallet.
The penalties for failure to comply with the buyer's specifications can be steep. Jack Householder, a partner in the firm Quad II Inc., says he knows of companies that have been hit with fines as high as $10,000.
As for why customers have become so fussy about their bar codes, you can blame automation. More and more companies are turning to automated receiving systems, which typically operate within very strict tolerances when it comes to reading codes. For instance, in order for a fixed-position scanner to read a bar code on a carton traveling down a conveyor, the label has to be in a certain spot and the image crisp and clear. Anything less is bound to slow operations and cost the receiver money.
"If the receiving side has an automated system in place, [it will] just kick out the boxes [it] can't read," says Householder. "They then have to put the information in manually. That's how charges can add up so quickly."
How do you avoid paying those fines? We asked several experts for advice. What follows are their recommendations on ways to ensure bar-code compliance:
1. Know exactly what the customer requires. Industries such as automotive, health care, and retail have adopted standardized symbologies for bar codes as well as standards regarding label size and placement. But that doesn't mean suppliers can assume that meeting those standards equates to compliance. Many customers in those industries still have their own individual requirements for label format and placement, says Andy Verb, president of Bar Code Graphics Inc., a firm that specializes in bar-code products and compliance solutions.
"In the retail and automobile industries, there is no one-size-fits-all [set of rules]," he reports.
Verb points out that most large retailers have created guides or online pOréals that spell out the details of their bar-code compliance programs. But it's not enough for logistics managers to familiarize themselves with the requirements, he cautions. They also have to ensure the information is passed on to the appropriate people in their companies. While this might seem obvious, that's actually where a lot of companies stumble, Verb says. "In most cases, the right individuals within the organization are not provided with the necessary information to facilitate compliance."
2. Clean and check printers regularly. Companies that use thermal transfer or direct thermal printers should make sure the print heads are cleaned regularly to ensure high-quality bar-code printing. Verb says he often sees printing problems crop up in the fourth quarter of the year, when suppliers are rushing to fill end-of-the-year orders and let maintenance slide. "As volume goes up, maintenance drops off," he says. "We see issues because print heads aren't replaced or maintained."
Operations that use thermal transfer printers, which use heat to transfer carbon from a ribbon to a label, should also be sure their ribbons are inspected on a periodic basis. Householder recommends cleaning the print head each time the ribbon is changed. After any ribbon change, he adds, users should run a print test to ensure a quality reproduction of the symbol.
3. Resist the temptation of low-cost materials. Experts say they often see suppliers try to save money by buying cheaper printing materials only to encounter problems down the road. For example, Householder recalls a company that bought cheap label stock but soon discovered the adhesive on the label backs didn't stick very well.
Companies using direct thermal printers in hot and humid environments must be especially careful to use good label stock, Householder says. These types of printers use heat to activate the chemical in the label stock (hence no ribbon). But in areas with high temperatures, chemical stability can become a concern, particularly if the printed labels are meant to have a long shelf life, according to Householder.
"The printing disappears because the thermal-sensitive coating turns dark," he says.
4. Double-check label placement before shipping. Because fixed bar-code scanners on sortation systems are set up to read labels in specific box locations, an improper placement can cause a "mis-read."
"Placement of labels is critical nowadays," says Verb. "Each company is different. Macy's might have different requirements from Saks. It's important to train warehouse associates to check to see that the labels are in the proper location."
5. Use a verifier to test your bar-code labels. To avoid the risk of an out-of-compliance code, companies can test their labels themselves with a bar-code verifier, a device that analyzes codes for readability and accuracy. For example, a verifier can be used to determine whether the spacing between bar-code lines complies with established standards.
Verifiers can also "grade" the quality of the bar code reproduced on the label. "Just because the bar code looks good to the human eye doesn't mean it will scan," warns Denise Neumann, a senior account consultant with Bar Code Integrators Inc., a firm that offers bar-code compliance services.
Since bar-code standards are updated regularly, industry experts also urge companies to check periodically with their respective industry associations and with GS1 (Global Standards One), the international organization that sets bar-code standards.
"These standards are complex and continue to evolve," says John M. Hill, a director with warehouse consultancy St. Onge Co. "Given increasing regulatory and market pressures for compliance, it's imperative that suppliers, wholesalers, and distributors take the steps necessary to assure that they are on the right page."
Editor's note: For a more in-depth look at bar-code compliance, see the book Bar Code Compliance Labeling for the Supply Chain: How to Do It by Jim Dooley and Rick Bushnell.
The San Francisco tech startup Vooma has raised $16 million in venture funding for its artificial intelligence (AI) platform designed for freight brokers and carriers, the company said today.
The backing came from a $13 million boost in “series A” funding led by Craft Ventures, which followed an earlier seed round of $3.6 million led by Index Ventures with participation from angel investors including founders and executives from major logistics and technology companies such as Motive, Project44, Ryder, and Uber Freight.
Founded in 2023, the firm has built “Vooma Agents,” which it calls a multi-channel AI platform for logistics. The system uses various agents to operate across email, text and voice channels, allowing for automation in workflows that were previously unaddressable by existing systems. According to Vooma, its platform lets logistics companies scale up their operations by reducing time spent on tedious and manual work and creating space to solve real logistical challenges, while also investing in critical relationships.
The company’s solutions include: Vooma Quote, which identifies quotes and drafts email responses, Vooma Build, a data-entry assistant for load building, and Vooma Voice, which can make and receive calls for brokers and carriers. Additional options are: Vooma Insights and the future releases of Vooma Agent and Vooma Schedule.
“The United States moves approximately 11.5 billion tons of truckloads annually, and moving freight from point A to B requires hundreds of touchpoints between shippers, brokers and carriers,” Vooma co-founder, who is the former CEO of ASG LogisTech, said in a release. “By introducing AI that fits naturally into existing systems, workflows and communication channels used across the industry, we are meaningfully reducing the tasks people dislike and freeing up their time and headspace for more meaningful and complex challenges.”
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.