The American consumer is continuing to roar, piling up purchases for the looming peak holiday shopping season even as economic indicators like wobbly manufacturing statistics and trade war turbulence reveal soft spots in the global economy.
The increase would produce total sales of between $727.9 billion and $730.7 billion for purchases excluding automobile dealers, gasoline stations, and restaurants. The NRF holiday forecast is based on an economic model that takes into consideration a variety of indicators including employment, wages, consumer confidence, disposable income, consumer credit, and previous retail sales.
"The U.S. economy is continuing to grow and consumer spending is still the primary engine behind that growth," NRF President and CEO Matthew Shay said in a release. "Nonetheless, there has clearly been a slowdown brought on by considerable uncertainty around issues including trade, interest rates, global risk factors, and political rhetoric. Consumers are in good financial shape and retailers expect a strong holiday season. However, confidence could be eroded by continued deterioration of these and other variables."
Another weight around the ankles of the stumbling economy could be the Trump Administration's spiraling tariff war with China. Retailers are using myriad mitigation tactics to limit the impact on consumers, and the impact will ultimately vary by company and by product, NRF said.
The ultimate effect of those tariffs on holiday spending - either directly or through consumer confidence - remains to be seen, since conditions seem to change daily. Some holiday merchandise - including apparel, footwear and televisions - is already subject to new tariffs that took effect September 1, while other products will have the tariffs applied on December 15, the trade group said.
Despite those industrial doldrums, consumers continue to shop. NRF expects online and other non-store sales, which are included in its forecast total, to increase between 11 percent and 14 percent to between $162.6 billion and $166.9 billion, up from $146.5 billion last year. Those strong retail figures will ripple through the economy, pushing retailers to boost hiring despite a historically tight labor market. NRF expects retailers to hire between 530,000 and 590,000 temporary workers this holiday season, which compares with 554,000 in 2018.
"There are probably very few precedents for this uncertain macroeconomic environment," NRF Chief Economist Jack Kleinhenz said in a release. "There are many moving parts and lots of distractions that make predictions difficult. There is significant economic unease, but current economic data and the recent momentum of the economy show that we can expect a much stronger holiday season than last year. Job growth and higher wages mean there's more money in families' pockets, so we see both the willingness and ability to spend this holiday season."
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.
Global forklift sales have slumped in 2024, falling short of initial forecasts as a result of the struggling economy in Europe and the slow release of project funding in the U.S., a report from market analyst firm Interact Analysis says.
In response, the London-based firm has reduced its shipment forecast for the year to rise just 0.3%, although it still predicts consistent growth of around 4-5% out to 2034.
The “bleak” figures come as the European economy has stagnated during the second half of 2024, with two of the leading industry sectors for forklifts - automotive and logistics – struggling. In addition, order backlogs from the pandemic have now been absorbed, so order volumes for the global forklift market will be slightly lower than shipment volumes over the next few years, Interact Analysis said.
On a more positive note, 3 million forklifts are forecast to be shipped per year by 2031 as enterprises are forced to reduce their dependence on manual labor. Interact Analysis has observed that major forklift OEMs are continuing with their long-term expansion plans, while other manufacturers that are affected by demand fluctuations are much more cautious with spending on automation projects.
At the same time, the forklift market is seeing a fundamental shift in power sources, with demand for Li-ion battery-powered forklifts showing a growth rate of over 10% while internal combustion engine (ICE) demand shrank by 1% and lead-acid battery-powered forklift fell 7%.
And according to Interact Analysis, those trends will continue, with the report predicting that ICE annual market demand will shrink over 20% from 670,000 units in 2024 to a projected 500,000 units by 2034. And by 2034, Interact Analysis predicts 81% of fully electric forklifts will be powered by li-ion batteries.
The reasons driving that shift include a move in Europe to cleaner alternatives to comply with environmental policies, and a swing in the primary customer base for forklifts from manufacturing to logistics and warehousing, due to the rise of e-commerce. Electric forklift demand is also growing in emerging markets, but for different reasons—labor costs are creating a growing need for automation in factories, especially in China, India, and Eastern Europe. And since lithium-ion battery production is primarily based in Asia, the average cost of equipping forklifts with li-ion batteries is much lower than the rest of the world.
Companies in every sector are converting assets from fossil fuel to electric power in their push to reach net-zero energy targets and to reduce costs along the way, but to truly accelerate those efforts, they also need to improve electric energy efficiency, according to a study from technology consulting firm ABI Research.
In fact, boosting that efficiency could contribute fully 25% of the emissions reductions needed to reach net zero. And the pursuit of that goal will drive aggregated global investments in energy efficiency technologies to grow from $106 Billion in 2024 to $153 Billion in 2030, ABI said today in a report titled “The Role of Energy Efficiency in Reaching Net Zero Targets for Enterprises and Industries.”
ABI’s report divided the range of energy-efficiency-enhancing technologies and equipment into three industrial categories:
Commercial Buildings – Network Lighting Control (NLC) and occupancy sensing for automated lighting and heating; Artificial Intelligence (AI)-based energy management; heat-pumps and energy-efficient HVAC equipment; insulation technologies
Manufacturing Plants – Energy digital twins, factory automation, manufacturing process design and optimization software (PLM, MES, simulation); Electric Arc Furnaces (EAFs); energy efficient electric motors (compressors, fans, pumps)
“Both the International Energy Agency (IEA) and the United Nations Climate Change Conference (COP) continue to insist on the importance of energy efficiency,” Dominique Bonte, VP of End Markets and Verticals at ABI Research, said in a release. “At COP 29 in Dubai, it was agreed to commit to collectively double the global average annual rate of energy efficiency improvements from around 2% to over 4% every year until 2030, following recommendations from the IEA. This complements the EU’s Energy Efficiency First (EE1) Framework and the U.S. 2022 Inflation Reduction Act in which US$86 billion was earmarked for energy efficiency actions.”
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The new "Amazon Nova" AI tools can use basic prompts--like "a dinosaur sitting in a teacup"--to create outputs in text, images, or video.
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.
Measured over the entire year of 2024, retailers estimate that 16.9% of their annual sales will be returned. But that total figure includes a spike of returns during the holidays; a separate NRF study found that for the 2024 winter holidays, retailers expect their return rate to be 17% higher, on average, than their annual return rate.
Despite the cost of handling that massive reverse logistics task, retailers grin and bear it because product returns are so tightly integrated with brand loyalty, offering companies an additional touchpoint to provide a positive interaction with their customers, NRF Vice President of Industry and Consumer Insights Katherine Cullen said in a release. According to NRF’s research, 76% of consumers consider free returns a key factor in deciding where to shop, and 67% say a negative return experience would discourage them from shopping with a retailer again. And 84% of consumers report being more likely to shop with a retailer that offers no box/no label returns and immediate refunds.
So in response to consumer demand, retailers continue to enhance the return experience for customers. More than two-thirds of retailers surveyed (68%) say they are prioritizing upgrading their returns capabilities within the next six months. In addition, improving the returns experience and reducing the return rate are viewed as two of the most important elements for businesses in achieving their 2025 goals.
However, retailers also must balance meeting consumer demand for seamless returns against rising costs. Fraudulent and abusive returns practices create both logistical and financial challenges for retailers. A majority (93%) of retailers said retail fraud and other exploitive behavior is a significant issue for their business. In terms of abuse, bracketing – purchasing multiple items with the intent to return some – has seen growth among younger consumers, with 51% of Gen Z consumers indicating they engage in this practice.
“Return policies are no longer just a post-purchase consideration – they’re shaping how younger generations shop from the start,” David Sobie, co-founder and CEO of Happy Returns, said in a release. “With behaviors like bracketing and rising return rates putting strain on traditional systems, retailers need to rethink reverse logistics. Solutions like no box/no label returns with item verification enable immediate refunds, meeting customer expectations for convenience while increasing accuracy, reducing fraud and helping to protect profitability in a competitive market.”
The research came from two complementary surveys conducted this fall, allowing NRF and Happy Returns to compare perspectives from both sides. They included one that gathered responses from 2,007 consumers who had returned at least one online purchase within the past year, and another from 249 e-commerce and finance professionals from large U.S. retailers.