A mere 6.3% of respondents are “very satisfied” with their current automation initiatives, while 44.2% state they are “somewhat satisfied,” and almost 1 in 5 (19.3%) respondents indicated dissatisfaction, ProGlove found in its “Leadership Insights for Retail Warehouse Management” report, based on a survey of over 1,000 retail management professionals.
The results highlight that there is plenty of room for growth and optimization in the automation space, the German company said. Additional findings show the hurdles involved in adopting automation: 15.6% of leaders said that integrating automation technology remains a challenge, while 14.6% said integrating mobile commerce platforms is a struggle.
"Automation presents a complex landscape for retailers," Stefan Lampa, CEO of ProGlove, said in a release. "While it holds potential for efficiency, our research underscores the critical role of human-machine collaboration. Retailers seek a synergy that leverages technology to empower, not replace, the human workforce."
In fact, the most popular investment area for using automation to achieve productivity gains was through human augmentation, with more than a quarter (25.3%) selecting “human-machine collaboration” as a key target area. Almost as many respondents highlighted the need for new software (e.g. ERP, WMS, BI, MDM), followed by automation and robotics at 17%.
Against that background, retail leaders project a conservative timeline for those automation investments to pay off. Just 11.5% believe they will see returns within the next two years, 36.5% expect the benefits to surpass the costs in two to five years, 26.6% are looking to a five to ten-year horizon, and 8.6% are preparing for a decade or more.
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.
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).