Natasha Horowitz is a consultant in the Global Commerce and Transport Practice at the economics research firm IHS Global Insight. Prior to her current position, she worked as an economic consultant and an economic analyst for the U.S. Department of Transportation's Volpe National Transportation Systems Center.
These days most logistics and supply chain professionals are familiar with the concept of reverse logistics—the process of removing unsold or damaged goods from store shelves or receiving them from customers and subsequently disposing of or repairing and reselling them. But familiarity does not necessarily equate to action. Although reverse logistics can be a significant source of costs—and therefore of potential savings—in many organizations, it still receives much less attention than it deserves.
Companies that overlook reverse logistics are missing an important opportunity. In 2005, Forbes magazine estimated the annual cost of returns in the United States alone to be around US $100 billion. Those costs undoubtedly have increased and will continue to grow as more commerce moves online.
Reverse logistics is a complicated process that requires the capture of numerous data such as the frequency, volumes, and types of returns. In order to properly understand and manage the process, each product should be traced from the point of return through final disposition. Warranties and service agreements must also be monitored, and credits must be applied where needed. The goal is always to minimize the number of returns as well as the cost of handling them—and do it without alienating customers. Here are a few thoughts on how to accomplish that goal.
Develop the right policies
The efficiency and cost of reverse logistics processes are greatly influenced by a company's returns policy. A stingy policy will keep costs low but may hurt customer relations, whereas an overly generous one, while attracting customers, will increase costs. Any policy should be benchmarked against industry standards. The usual standard in retail is a 30-day return, but policies are harder to benchmark for business-to-business companies and will require research.
Returned-product acquisition is fairly straightforward for retailers—the customer simply brings products back to the store. Sellers of larger items, such as furniture, often contract with their delivery providers for return services. Business-to-business companies must decide who is responsible for unsold products and compare the costs and benefits of picking up inventory themselves, having distributors pick it up and deliver it to the disposition site, or outsourcing the process to a third-party logistics company (3PL).
One economical strategy is to pick up unsold merchandise during the delivery of new inventory, creating backhauls for a private or outsourced fleet. Customers of Cummins Engine, for example, initiate returns electronically. Damaged engines are picked up for remanufacturing by a dedicated fleet operated by Ryder when making deliveries of new parts. Some companies have found that collaborating with customers to streamline the return process, including at times offering financial incentives to minimize returns, can greatly reduce the need for backhauls of unsold goods.
Whatever approach a company adopts, the key to successful product acquisition is full visibility from the moment the product is returned, so that responsibility and payment for the return can be clearly assigned. Monitoring returns can cut credit issuance by as much as 30 percent, adding directly to the bottom line.
Once returned items have been aggregated, they must be transported to a sorting facility. In this stage, consolidation and optimization of shipments can greatly reduce transportation and handling costs.
Policies regarding disposal will depend on the type of product involved. The trick is always to balance the costs of transportation, sorting, and disposal against any potential recoverable value. High-value items such as electronics and automotive parts may be inspected, remanufactured, and resold. Unsold consumer goods, by contrast, may be shifted to areas where sales are stronger. Items with a short shelflife, such as fashion apparel, are often sold to third parties that then resell them through discount outlets or to developing countries. Items that are not economical to refurbish in-house may sometimes be sold at auction. Should final disposal be necessary, one option is to find a recycler that is willing to pay to reuse any recoverable material.
A symptom of inefficiency
Smart companies and their suppliers recognize that returns are often a symptom of inefficiencies elsewhere in the supply chain. For example, a retailer may be ordering too much of a particular product, the product may not be arriving on time to meet peak demand, or the packaging may be insufficient to prevent damage, to name just a few of the possible causes of returns. To find out why products are being returned, appropriate data should be captured, analyzed, and shared with management throughout the organization. This information should also be fed back to the product design team, as understanding the reasons for returns and failures can lead to better product design—and, eventually, fewer costly returns.
The theoretical goal of reverse logistics is to have zero returns, eliminating the need for the process in the first place! By continuously working toward this goal, supply chain managers can uncover significant sources of cost savings, gain an edge in customer and supplier relations, and collect invaluable information for improving other areas of their business.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
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."