Retailers, software companies, and logistics service providers are strategizing and automating their way to a smoother returns process—to the benefit of the entire supply chain.
Victoria Kickham, an editor at large for Supply Chain Quarterly, started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for Supply Chain Quarterly's sister publication, DC Velocity.
E-commerce has cemented its place in the consumer buying process, driving up the number and variety of orders making their way through warehouses and fulfillment centers each day. A rising tide of returns has accompanied that growth in recent years, pushing what was once an afterthought in many facilities to a place of prominence—and forcing retailers, brands, and logistics service providers to get smarter about the way they handle reverse logistics. It’s been a long time coming, but returns specialists say retailers and their logistics partners are finally focused on optimizing all things returns-related.
“I do think [companies] are getting better [at managing returns],” says Tara Daly, senior director of product marketing at Loop Returns, a provider of returns management software (RMS) for retailers and consumer packaged goods (CPG) companies. “It’s the realization that the post-purchase experience is equally as important as the pre-purchasing journey. It’s clear now: We know that [the returns process] needs to be optimized. Also, [third-party logistics service providers] and warehouses are getting more sophisticated in terms of their returns operations and not being only focused on outbound.”
Daly says she expects a steady or slightly lower volume of returns this post-holiday season compared to last year based on Loop’s own data, adding that the RMS provider has recently seen a year-over-year reduction in returns rates among its customers. She attributes some of the progress to strategies the industry is adopting, collectively, to reduce returns. She and others point to retailers’ efforts to create better returns policies through industry partnerships as well as the implementation of automation strategies at all points along the supply chain as important steps in the evolution of reverse logistics.
“It’s fair to say the industry is making inroads in finding efficiencies on reverse logistics,” adds Brendan Heegan, founder and CEO of Boxzooka, a third-party logistics service provider (3PL) that handles warehousing, storage, inventory management, shipping, and reverse logistics for retailers, wholesalers, and subscription-box providers, most of which are in the high-end apparel and CPG industries. “We look at returns just as seriously as the outbound side; it’s not an afterthought for us. [That’s] because returns are important; it can be lost revenue for customers if they’re not dealt with [in a timely manner] and with care.”
BUILDING BETTER PRACTICES AND POLICIES
Like Daly, Heegan believes that broad-based industry strategy is a major part of today’s returns revolution—and he points to UPS’s recent acquisition of software and reverse logistics specialist Happy Returns as an example. UPS announced plans to acquire Happy Returns last October, and the deal was expected to be completed during the fourth quarter. Heegan says the deal is akin to FedEx’s purchase of Kinko’s (now FedEx Office) 20 years ago and Amazon’s purchase of Whole Foods in 2017—moves that expanded each company’s network of parcel collection locations. The UPS/Happy Returns deal adds 10,000 return dropoff points—known as “return bars”—to the UPS network.
“This acquisition … is another example of things the industry has been doing to increase the number of retail dropoff points, and that gives them consolidation opportunities,” explains Heegan. “At the end of the day, if a UPS truck has to go to someone’s home to pick up a return package, that’s going to cost UPS more by having to drive, burn the gas, and spend the time and labor for one pickup point. If we can get consumers to rally together and drop off returns at one location, then you’re gaining efficiency because now the UPS drivers can go pick up 20, 30, 100 packages at one location.”
It’s also a win for companies like Boxzooka, which has a handful of customers that already use Happy Returns as part of their efforts to provide a better returns experience for shoppers. The company’s reverse logistics services include identifying, re-barcoding, quality control, restocking, and disposition of returned items. A client using Happy Returns helps streamline that process by providing consolidated returns delivered directly to Boxzooka’s facilities. An added bonus: Happy Returns removes all packaging and consolidates merchandise into reusable totes, saving Boxzooka the trouble of dealing with all the excess paper and cardboard.
Such efforts reinforce the value of a seamless returns policy among consumers. According to 2023 research from Loop, 98% of consumers agree that if a retailer provides a fast, convenient, and “hassle-free” returns experience, they’ll be more likely to shop with that merchant in the future.
But consolidation via “return bars” isn’t the only strategy contributing to a better reverse logistics environment these days. Both Heegan and Daly say retailers are more focused on efforts to avoid returns altogether. First and foremost, they say, merchants have been working to improve the online buying experience by providing much more information about products than they did in the past—with better website graphics and size charts, and the addition of customer reviews. They’re also analyzing their returns data, much of which can be aggregated in an RMS. Daly offers an example: With access to all of their returns data, merchants can identify patterns—a dress that keeps getting returned because it’s too small, for instance—and then take steps to correct the issue at the manufacturing stage. All of these efforts can help reduce the need for customers to initiate a return in the first place.
Daly and Heegan say the era of free online returns is largely over as well. Merchants are beginning to strategically apply fees, in some cases offering free exchanges but charging for returns.
“Brands need to focus on [providing] the best experience possible,” says Daly. “And they realize there is an opportunity to drive more revenue—an exchange rather than a return, for example. Merchants are starting to realize that this is an opportunity for them to unlock and increase their profits.”
IMPLEMENTING TECHNOLOGY SOLUTIONS
Automation strategies are proving to be a game-changer as well. More retailers are implementing RMS solutions as a first step toward taming returns because it helps them get control over the entire process, Daly explains. Software systems like Loop’s eliminate the manual, time-consuming process of initiating and managing returns—some estimates say a return can take up to 50 minutes when handled manually—by allowing customers to start a return or exchange anytime via an online platform. In Loop’s case, Daly says the platform can be tailored to automate any existing returns process and also can be integrated into the retailer’s back-end technology tools. Among other advantages, this frees up associates to focus on more-profitable activities, she explains.
Data backs this up: Nearly 80% of merchants surveyed last year by Happy Returns said they have had to choose between shipping new orders and processing returns due to limited warehouse resources. Automation helps solve that problem.
Heegan also considers automation essential to efficient returns management. He notes that Boxzooka, which has focused on returns since its inception in 2014, built its warehouse management software (WMS) with reverse logistics in mind, realizing from the start that “returns have been an ugly part of the 3PL business.
“Consumers can be careless when returning something. Maybe they forgot [to include] the original packing slip or took the tags off the merchandise,” Heegan explains. “We built different ‘hooks’ into our WMS to help us [address those issues].”
Quality control and re-barcoding capabilities are a key part of those efforts, allowing the 3PL to get products back into stock or to an alternative outlet faster. The focus on automating these tasks supports Daly’s observationthat warehousing companies are increasingly focused on returns—to the benefit of the entire supply chain. She emphasizes that 3PLs and warehouses were originally “made for outbound” but says technology enhancements are helping them better handle the inbound side of the equation—a welcome development for their supply chain partners.
“[Merchants] are looking to improve efficiencies,” she says. “So they’re leaning on their logistics and supply chain companies to achieve those goals.”
Editor’s note: This article originally appeared in the January 2024 issue of DC Velocity.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
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."