BRG Sports wondered whether reducing its number of distribution centers would let it cut costs but still improve customer service. The company conducted a software analysis to find out.
When companies grow through mergers and acquisitions, they inherit a network of plants and distribution centers (DCs). Although the plant and DC locations may have made sense for the original businesses, they may not provide an efficient supply chain flow for the amalgamated enterprise.
That was the case for BRG Sports Inc. (formerly Easton-Bell Sports Inc.), which ended up with a network of a dozen distribution centers when Easton-Bell was formed through the merger of two sports equipment companies.
Four years after that merger, the sports equipment manufacturer decided to analyze its network and develop a plan for a more streamlined supply chain. It seemed likely that the company could reduce costs by rationalizing the number of DCs in its network, but could it do so and improve customer service at the same time? After a yearlong, software-based analysis of its network, BRG found that it could achieve that objective if it redesigned its distribution network around a primary DC located in the center of the United States.
A cumbersome network
The forerunner of BRG Sports, Easton-Bell Sports Inc., was created in 2006 with the merger of two companies, Riddell Bell Holdings and Easton Sports. Featured brands back then were Riddell football helmets and protective equipment, Bell bicycle and "power sports" helmets, and Easton baseball and softball equipment. In 2014 Easton-Bell became BRG Sports when it divested itself of the Easton businesses. That move also resulted in a shift in its headquarters from Van Nuys, California, to Scotts Valley in the northern part of that state. Today, BRG Sports retains the Bell, Riddell, Blackburn, and Giro brands, focusing on action sports and football helmets, protective gear, apparel, and accessories.
Back in 2010, executives at Easton-Bell began to wonder whether the supply chain network resulting from the merger of Riddell Bell and Easton Sports was too cumbersome. At that time Easton-Bell operated 12 distribution centers throughout the United States to serve its customers, which ranged from large retailers like Wal-Mart Stores and Dick's Sporting Goods to small specialty bicycle shops. It also had a growing e-commerce business that sold products online and shipped them direct to the consumer's door. "There was a lot of duplication in our logistics network," says Lewis Hornsby, vice president of global logistics and fulfillment and general manager of BRG Sports' Rantoul, Illinois, operations.
In addition to manufacturing sports equipment in two plants in the United States, one in Illinois and the other in Ohio, the company imported a large portion of its products from overseas. Most of the imported goods were sourced from Asia, primarily from China, Taiwan, and the Philippines.
With such a far-flung supply and customer base, the question before Easton-Bell was this: Could it lower costs and improve customer service with fewer DCs? To arrive at an answer, the company engaged Atlanta-based Competitive Insights Inc., which provides analytics as part of its cloud-based integrated business planning solutions.
A year's worth of data
Competitive Insights began the project by creating a financial picture of Easton-Bell's current supply chain flows. It developed a cost baseline by gathering data from all three Easton-Bell business units at that time (Easton baseball, Riddell football helmets, and Bell cycling and helmets) over a period of one year. Taking a one-year "snapshot" of activity ensured that the model incorporated all of the network's "ebbs and flows and seasonality," Hornsby says.
The information gathered for the analysis included the costs of inbound shipping, both domestic and international, as well as the costs for outbound deliveries, plus data on manufacturing and labor expenses for operating a plant or DC in each area of the country. The analysis even included such costs as electricity, property taxes, and facility maintenance. "The analysis ran the gamut of everything that had a material impact on the supply chain's costs of doing business," Hornsby recalls.
Most of the cost data came from the company's SAP enterprise resource planning (ERP) system. Analysts also pulled some data on transportation costs from a transportation management system (TMS) and got some inbound cost data from the company's freight forwarder.
Once the analysis had painted a cost picture of the current operation, Easton-Bell and Competitive Insights began examining various scenarios to determine the impact of a different supply chain makeup on operating costs and customer service. The analysis also took into account the impact of a network change on key customers like Wal-Mart Stores. After considering more than 20 different scenarios, the analysis determined that Easton-Bell should operate just one main distribution center somewhere in the middle of the United States.
The modeling exercise also indicated that the company should build an entirely new facility rather than repurpose or expand an existing one. "The majority of our facilities were old and somewhat antiquated," Hornsby explains. "We were competing with 25 or 30 competitors that could take and ship orders faster than we were. We had to step up our game, and this was the way to do it."
Texas or Illinois?
As for where to locate the new DC, the company was faced with a choice: It could either establish a new facility in Dallas, Texas, or in Rantoul, Illinois, where it already had a plant that made bicycle helmets and full-size collectible football helmets. Although the analysis indicated that the Texas location offered lower overall costs, the company made a decision to build the new DC in Rantoul in order to hold onto experienced employees who had specific knowledge in core areas, including manufacturing. "Expertise was the key," explains Hornsby. "We had 350 employees [in Rantoul] with an average of 17 years of experience apiece. When we made the announcement about where we were going to build and I was asked why, I said there were 350 reasons why we should build in Rantoul."
In August of 2012, Easton-Bell broke ground on a new 800,000-square-foot facility in Rantoul; construction was completed 14 months later. The new building was designed to support a product flow with supplies received at one end of the building and merchandise shipped out at the other. According to Hornsby, the new DC can hold about 44,500 pallet positions and thousands of stock-keeping units (SKUs). Although receiving is handled manually, the DC takes advantage of automated equipment to facilitate and speed the picking, packing, and shipping of orders.
The network consolidation will enable BRG to improve transit times, minimize duplication in the supply chain, and reduce costs. For example, the Illinois location allows the sports equipment maker to avoid the longer transit times associated with all-water shipments from its Asian suppliers to the U.S. East Coast. Now it unloads cargo on the West Coast and moves it via intermodal rail to Rantoul. And by serving most of its customers from one central location, BRG will be able to get better rates on outbound shipping as well.
All of these changes have an impact on service. "There was a huge customer service benefit," Hornsby says. "By shipping out of the central part of the [United States], you can reach 95 percent of the country with ground or normal transportation within two to three days."
Although the software analysis suggested that a single distribution center would minimize costs while maximizing service benefits, BRG decided to retain a second facility. In addition to the new DC in Rantoul, the company is keeping a smaller distribution center at its Elyria, Ohio, plant, which makes football helmets.
Complete data is critical
What advice would Hornsby offer to others who are considering a similar project? The BRG supply chain executive said companies should make sure they have a wide-enough range of data to capture any seasonality. He noted that when Easton baseball products were part of the company's portfolio, there were sales spikes during the spring and fall. These sales spikes had to be taken into account to get an accurate picture of the company's distribution network needs.
Hornsby's second piece of advice would be to make certain that the financial model encompasses all cost factors, from property taxes to snow removal, associated with every facility. "Don't scrimp on the data range," he recommends, "and be sure to capture every cost you can imagine."
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."