Let BSL Heavy-Duty Forklift Lithium Battery be your hero!
Struggling to improve your fleet’s efficiency? Battling to reduce your operating costs? Fighting to be eco-friendly? Fear not! BSL Battery - Industrial for heavy-duty applications, Lithium Forklift Battery, is ready to save the day!
Struggling to improve your fleet’s efficiency? Battling to reduce your operating costs? Fighting to be eco-friendly? Fear not! BSL Battery - Industrial for heavy-duty applications, Lithium Forklift Battery, is ready to save the day!
We live in an increasingly impatient world; customers want their goods in super-fast time, putting warehouses at maximum capacity. This relentlessness puts pressure on businesses to deliver a fast, consistent and outstanding service; however, this persistence also puts a strain on their ability to reduce costs and cut energy use – can a balance really be struck?
Yes, it can! BSL Battery - Industrial provides the solution with its heavy-duty Lithium Forklift Battery. BSL Lithium Battery-powered fleets can preserve up to 45-50% of energy, increase operating hours by half and move goods up to 57% faster in comparison to standard lead batteries.
Forklifts can run for considerably longer when powered with these advanced lithium batteries – more than 12,000 operating hours, in fact – and can be fully recharged from 80% depth of discharge in just two hours. They are therefore ideal for multi-shift operations. This is thanks to BSLBATT’s unique Lithium charger, which also contributes to lower operating temperatures.
At the same time, BSL lithium battery has officially communicated with the world-renowned Fronius®, SPE®, FSIP® and Detla-Q® chargers, and has become a partner!
BSL Heavy-Duty Forklift Lithium Batteries are suitable for outdoor applications, too, where temperatures will fluctuate during the year. This is particularly important during the winter months, as, traditionally, cooler temperatures will have a detrimental effect on a battery’s performance and capacity. The battery will need to be changed or recharged more often than normal – leading to a drop in efficiency and productivity, potentially jeopardising the performance of the warehouse in question.
Stay in control
Its advanced fully automatic charging technology adopts a new high-efficiency three-phase APFC circuit topology with a power factor greater than 0.99. Interference, fool-like operation, real-time display of charging capacity, charging voltage, charging current, operating status and other information, RS-484 networking communication interface reservation. Enables businesses to control the charging rate of Heavy-Duty Forklift batteries, as the charging rate of the batteries can be slowed down during downtime.
Real-world gains
On paper, this sounds like an appealing proposition, striking a beautiful balance between performance and sustainability – but what about the real-world? Can BSLBATT® convert these promises into reality?
The answer is unequivocal: not that long ago, it was discovered that a BSLBATT lithium battery lasted more than six years in a 5.5t moving mast reach truck, working in a two-shift, heavy-duty application at a Paper and Packaging company in Israel. Extraordinarily, it outlasted the truck it was powering! Thanks to the aforementioned BSLBATT attributes, these impressive stories are becoming increasingly common – the new normal!
These same, remarkable characteristics persuaded the electric forklift manufacturer, Raniero®, to choose BSLBATT® Battery for its high-capacity fleet. They wanted cleaner fuels, were determined to reduce their carbon footprint and slash the total cost of ownership. And it paid off! Raniero® has enjoyed notable gains since the purchase of their first BSL Heavy-Duty Forklift Lithium Battery It’s a perfect match.
The power is in your hands!
The power, efficacy and reliability of BSL Heavy-Duty Forklift Lithium Battery complements BSLBATT’s GPRS Cloud System+ Fleet management tool. It’s the smart solution when providing fleets with vital information to help their business run smoothly.
Discover a battery’s charging history and its critical parameters, organise battery and charging pools, monitor, analyse and control energy consumption, access a battery’s warranty: GPRS Cloud intelligence report helps businesses tighten their grip on processes, assets and operations. They can stay one step ahead.
Consult the experts!
BSLBATT’s sales and service professionals are eager and ready to cater requests today! A free energy and productivity analysis awaits potential customers, with a report on how to boost their productivity and reduce their operating costs.
Furthermore, the BSLBATT experts offer considered guidance on the most suitable battery option for a business – whether it’s BSL Heavy-Duty Forklift Lithium Battery or an alternative. Before reaching that point, though, BSLBATT’s experts will get to the heart of the issue; they’ll delve into shift patterns, operating objectives and targets, then supplying a comprehensive review to help the customer make a well-informed decision.
Case in point: BSL Heavy-Duty Forklift Lithium Battery came out on top of a total cost of ownership (TOC) analysis, examining businesses that run 54 Yale trucks, three shifts-a-day.
One option discussed by BSLBATT and the customer was to power the trucks with lithium-ion technology; however, on account of this rather expensive technology, this would have meant that only one battery would have been acquired per forklift, which would have had to be charged during the workers’ breaks – opportunity charging. After a thorough analysis, customers and BSLBATT professionals agreed to switch BSL lithium batteries. Achieve zero-emission fleets to improve sustainability, reduce maintenance for greater labor efficiency, and maximize cost savings and safety benefits. Customers can save on lead-acid maintenance costs along the way. In Europe, the cost of running a truck equipped with lead-acid batteries can be 5 to 10 times higher, depending on where you live and work. Our experience is that we can help people reduce their total cost of ownership by 25-30% over five years.
You are looking for a both economically and strategically sound solution for your own fleet of vehicles?
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."