AI Vision-Powered Robotics for Warehouses

Smart global robotic technologies supplier AWL aims to transform UK logistics with its ROSI and RODE solutions. These cutting-edge platforms, equipped with state-of-the-art AI and vision technology, are engineered to optimise warehouse operations across multiple industries.

In the ever-evolving world of warehouse logistics, automation is becoming a key strategy for companies looking to stay competitive. Industry-wide issues like personnel shortages and rising demand are affecting business continuity, which in turn negatively impacts profitability. However, by implementing AI-driven robotics solutions to perform vital tasks, organisations can overcome these challenges and ensure efficiency and scalability.

Commenting on the necessity for robotic automation within the logistics sector, AWL’s Director Strategy & Development, Arjen Vos said: “Incorporating robotic solutions into today’s warehouse operations is becoming paramount. Many of our clients have experienced difficulties with regards to staffing shortages, but by implementing AWL’s robotic technologies into their logistics processes, they have been able to gain an advantage over their competitors. For firms that want to maintain consistent throughput, investing in robotic warehousing solutions is not just a choice, it is essential for long-term success.”

ROSI: The robotic singulator

Designed to pick, sort, induct and singulate with ease, our ROSI solution is ideal for use in logistics environments. Equipped with AI-based vision technology, ROSI is capable of adapting to scope and managing unpredictable situations rapidly. Owing to its state-of-the-art gripper and robotic technology, it can achieve up to 1,800 picks per hour and a singulation accuracy of up to 99.9%.

RODE: the robotic depalletiser

Robotic automation of repetitive tasks enables employees to focus on more pressing duties, as evidenced by our efficient, innovative RODE machine. Purpose-built to handle random-mixed packages, RODE supports employers in ensuring a seamless logistical operation. This solution can automatically unstack packaged goods such as bags, totes and boxes from pallets, guaranteeing continuous package processing without any downtime.

Combining forward-thinking technologies and automation techniques, AWL is a pioneer in designing and building smart, modular robotised machines. As well as intralogistics, the business delivers high-tech robotic solutions to clients in an array of other industries, including automotive, metal processing, and energy transition. AWL have developed into a global brand, with more than 800 employees based at branches throughout Europe, Asia, and the Americas.

similar news

Autonomous models for the warehouse

 

Samsara Unveils Product Innovations and Strategic Partnership

Today, Samsara, the pioneer of the Connected Operations® Cloud, unveiled its latest product innovations at its premier Go Beyond conference, London, designed to empower leaders with greater visibility across their operations and assets and gain deeper insights through AI. At the event, Samsara also announced a strategic partnership update with ACSS, further emphasising its commitment to driving technology innovation across the industry.

Go Beyond, taking place on 12 November in London gathers 250+ innovators across the physical operations industry, including Otto Car, Lanes Group, Fraikin, and more.

Connecting Operations to Drive Tangible Impact

Samsara’s latest product innovations further connect physical operations and fuel AI-powered insights to drive tangible results for businesses: Connected Training, Low Bridge Strike Alerting, Electronic Brake Performance Monitoring System, and Privacy Mode.

• Connected Training: Despite being one of the most dangerous industries with millions of injuries each year, the transportation sector lacks modern training methods that are customised and adaptable for their unique work environments. With Connected Training,™ which is now available in beta in the UK, customers can have a data-driven training experience designed for continuous, remote learning via the Samsara Driver App. Managers can upskill their workforce by consolidating all training within the Samsara platform and connecting with existing workflows for a seamless employee experience. Early adopters have seen a 35% average decrease in safety events when using Connected Training.

• Low Bridge Strike Alerting: Around 2,000 bridge strikes happen in the UK every year, with the average collision costing UK tax payers around £23m a year. With Low Bridge Strike Alerting, fleet operators can set the maximum height for each vehicle in their fleet to minimise the chance of tall vehicles impacting the underside of bridges. Through Samsara Dash Cam in-cab audio alerts, drivers are warned whenever they approach a bridge that is too low to pass.

• Electronic Brake Performance Monitoring System (EBPMS): In the UK, from 2025, an EBPMS will become one of the two only accepted methods for brake testing to maintain DVSA standards for roadworthiness. To help fleets prepare for this, Samsara designed its EBPMS solution — allowing fleets to maintain braking performance records by continuously collecting data from the installed EBPMS units. Managers will be proactively alerted in the Samsara dashboard when braking performance falls below acceptable standards, or if the electronic braking system detects faults, so they can take timely action. This minimises the need to present heavy goods vehicles (HGVs) for physical laden roller brake tests and proves roadworthiness without the need to take vehicles to Ministry of Transport (MOT) testing facilities.

• Privacy Mode: This new feature within Samsara’s Video-Based Safety solution helps prevent accidents in real time without the need to record video. It allows customisation within Samsara’s Dash Cams, enabling recording on both driver and outward-facing cameras to be turned off at the administrator level. AI safety events will still be triggered, allowing drivers to be coached on the road, helping to prevent and reduce road accidents.

“These new product features have been driven by Samsara’s deeply embedded culture of customer feedback,” said Kiren Sekar, Samsara’s chief product officer. “We collaborate with some of Europe’s largest and most complex operational companies to solve hard problems using the unparalleled scale of our regional and global data. Our customers are using our platform to turn this data into real human impact by making roads safer and reconnecting their people to the work they love doing.”

“At Otto Car, we’re not waiting for the future to come to us; we’re leaning into it, and Samsara’s technology has been instrumental in helping us achieve that goal,” said Gurinder Dhillon, CEO of Otto Car. “Samsara’s technology has played a crucial role in our business and remains essential. I am personally excited to be part of this event and impressed by the breadth and depth of the ongoing innovation. Our future with Samsara continues to look very exciting.”

New Partnership Drive Industry-Wide Safety Innovation

In addition to the new product features, Samsara has announced a strategic partnership with commercial vehicle camera and security solutions provider ACSS.

“We’re pleased to welcome ACSS into our growing ecosystem of strategic partners,” said Philip van der Wilt, SVP and GM EMEA at Samsara. “By collaborating with these industry experts, we’re able to deliver comprehensive and user-centric solutions, enriching the overall experience for our mutual fleet customers.”

The collaboration with ACSS will combine the advanced capabilities of ACSS cameras with Samsara’s intuitive dashboard, allowing fleet operators to benefit from a seamless experience that centralises camera feeds, analytics, and operational insights in one platform. This gives them complete 360° vehicle coverage, reducing blind spots, enhancing driver visibility, monitoring cargo in real-time and mitigating risks such as fuel theft.

Paul Howell, Sales and Marketing Manager at ACSS said: “ACSS focuses on enhancing the safety of commercial vehicle fleets. Working with Samsara is the next step for us in providing a comprehensive safety platform. Harnessing the power of Samsara, ACSS are able to add, for the first time, 1080p, 360 vehicle coverage straight into the client dashboard. With the ability to pull through camera feeds from our DVS2 AI solution too, customers are finding dual return on their PSS investment. With the compliance box ticked they’re also able to use those same cameras to feed directly into their dashboard.”

similar news

Samsara Launches Sustainable Fleet Management Solution

 

Research Highlights Untapped Potential of AI to Boost Fleet Safety

Delegate research conducted by Netradyne at the Gartner Supply Chain Planning Summit has revealed the untapped potential of artificial intelligence (AI) to boost fleet safety for greater precision and profitability in supply chain logistics and transportation. Currently, only 33% of respondents use AI to assess and monitor fleet safety performance. However, 81% plan to adopt AI platforms within the next year to mitigate risks and enhance safety for improved operational performance.

The challenges facing third party logistics providers

The survey highlights accuracy, timeliness and cost-effectiveness as the top priorities in goods delivery, named by 57% and 31% of supply chain professionals respectively. However, despite the importance of logistics and transportation precision, companies face persistent obstacles, with a lack of fleet visibility and limited driver availability cited as major factors hampering delivery accuracy.

Accidents are another critical issue, contributing to product damage in transit, damaging the brand image, impacting driver well-being and availability, and driving up costs. Alarmingly, 46% of respondents were uncertain of the total financial impact of accidents on their businesses.

Outdated technologies limit data accuracy

Data is critical for fleet management and safety, with 52% of respondents already sharing data with partners to improve safety standards. However, many current systems rely on outdated technologies, such as telematics and GPS, which have limited functionality. As shown by the significant leap in those planning to adopt AI in fleet safety management, supply chain teams increasingly recognise the value of AI-driven data for its precision and ability to provide more meaningful insights into fleet operations.

AI-driven data: The key to safer, more efficient fleet operations

Integrating AI tools into goods delivery processes offers significant benefits. AI-driven solutions can enhance delivery precision and timeliness by improving fleet visibility and driver availability. They can analyse data to predict and prevent accidents, reduce traffic violations and enhance driver behaviour. By enabling data-driven fleet engagement, AI contributes to a safer and more efficient fleet, providing third-party logistics (3PL) providers with better oversight and control over their operations and significantly reducing costs. These cost savings directly impact profitability, making AI an invaluable asset.

“Transportation is an inherently tough business. With more people on the road and unpredictable conditions, there is more risk for logistics providers than ever. Challenges like growing end-customer expectations for quick and hassle-free delivery, rising costs, shrinking markets and increasingly selective insurers add to the pressures faced by supply chain teams. Visibility in fleet operations is crucial to managing these challenges, and AI is proving to be a key tool for improving it,” commented Durgadutt Nedungadi, Sr. Vice-President for International Business at Netradyne.

“Vision-based AI technologies can help alleviate many of these challenges by delivering real-time insights that boost safety, predict potential issues, and ensure timely interventions. As the industry grows more complex, supply chain leaders are increasingly turning to AI-driven data analysis to boost operational efficiency, improve safety, and maintain a competitive edge,” concluded Nedungadi.

similar news

Tips to Boost Warehouse Storage and Handling Efficiency

 

Logistics Workers Embrace AI, Despite Generational Concerns

Despite frequent discussions about AI’s potential impact on jobs, the majority of logistics workers are untroubled by automation, according to a recent YouGov survey commissioned by SafetyCulture. The survey, which included responses from over 10,000 workers globally, revealed that two-thirds of logistics professionals feel secure about their roles, viewing AI as an aid rather than a threat. This optimism is particularly evident among older workers, while a generational divide shows that younger employees, especially Gen Z, are more cautious. Fifty-seven percent of Gen Z workers expressed concerns about AI’s influence on job security, in stark contrast to just 10% of Baby Boomers, illustrating how varying levels of experience might influence these views.

The industry is already seeing successful applications of AI, which many workers believe will help tackle labor and skills shortages. Amazon, for example, uses “Robo-Stow”, a robotic arm that aids with heavy lifting, reducing physical strain on employees while increasing efficiency. DHL employs predictive analytics to forecast demand and optimize stock levels, allowing the company to reduce inventory costs and meet customer needs. FedEx’s AI-driven route optimization technology adjusts delivery routes based on real-time data, improving delivery times and fuel efficiency.

However, the study points out dissatisfaction with outdated technology, which impacts productivity. Inefficiencies due to these legacy systems reportedly cost the logistics sector over £1.88 billion annually. Companies like UPS are addressing these challenges by incorporating machine learning into package sorting and route planning, cutting costs and improving workflow efficiency.

Beyond logistics giants, smaller companies are also capitalizing on AI for competitive advantage. Startups in the sector are innovating with autonomous warehouse robotics and smart inventory management tools that use AI to balance stock levels, monitor demand fluctuations, and manage order fulfillment. This trend is not only helping to address labor shortages but is also increasing speed and accuracy, critical for smaller firms facing tighter margins and stiffer competition. These solutions demonstrate how AI can improve efficiency across all company sizes, allowing even small operations to keep pace with industry demands.

SafetyCulture’s findings underscore the importance of modernizing workplace technology, highlighting how AI’s potential can be fully realized only when legacy systems are upgraded. As more companies invest in AI, there is a growing call for tailored training programs that allow employees to leverage new technology confidently. The industry’s shift toward a more tech-enabled environment offers promising benefits for workers, suggesting that while automation grows, so will opportunities for those skilled in using it effectively.

Read Similar…

Cyber Security Risk for Supply Chain Software

Digital Twin Logistics Market Projected to Boom

The digital twin in logistics market is set to grow from its current market value of more than $1.2 Billion to over $9.4 Billion by 2032′ as reported in the latest study by Global Market Insights, Inc.
By creating a virtual replica of their physical logistics network, companies can monitor and analyze every facet of their operations, from warehouse management to route optimization, significantly boosting operational efficiency through real-time insights.

End-users are increasingly integrating digital twins with artificial intelligence (AI) and machine learning (ML) technologies. This fusion amplifies the predictive prowess of digital twins, leading to sharper forecasting and optimization. AI and ML algorithms sift through vast data from digital twins, discerning patterns and making instantaneous decisions. For example, in route optimization, AI-enhanced digital twins can modify delivery routes in real-time, factoring in traffic, weather, and historical data.

The market is segmented by component into software and services. In 2023, the software segment accounted for roughly $893 million. The capabilities of digital twin software have been significantly bolstered by the integration of Internet of Things (IoT) devices and sensors. These enhancements facilitate real-time data gathering from assets, vehicles, and infrastructure within the logistics network. Such detailed data is vital for crafting precise digital replicas of tangible systems. For instance, in March 2024, DHL harnessed digital twin technology to craft virtual models of its warehouses.

The market categorizes the digital twin in logistics by deployment model into cloud-based and on-premises. The cloud-based segment is projected to surpass $7.5 billion by 2032. These cloud solutions offer unparalleled scalability, allowing logistics firms to modulate computing resources in response to demand shifts. During peak times or unforeseen surges, businesses can swiftly upscale their infrastructure without hefty capital outlays. This adaptability not only ensures peak performance but also bolsters efficiency and customer satisfaction.

In 2023, North America led the digital twin in logistics market, capturing about 31% of the revenue share. Spearheaded by the U.S., this region stands at the vanguard of technological advancements. The swift evolution and adoption of IoT, AI, and big data analytics are pivotal in driving the uptake of digital twins in logistics. Companies in this region harness these technologies to boost operational efficiency, refine decision-making, and secure a competitive edge.

similar news

DHL Trend Report Highlights ‘Digital Twins’ Concept

 

AI Accelerates Service Performance

Enterprise Asset Management (EAM) software provider IFS Ultimo has integrated AI functionality into its next-generation EAM platform to enhance troubleshooting, and enable organisations to reduce the mean time to repair (M5TTR) of their assets. By leveraging AI, EAM toolsets will be more intuitive, accessible and predictive, therefore driving unprecedented efficiency and effectiveness in asset management practices. The new AI features were unveiled on Wednesday, October 16th at the IFS Unleashed event in Orlando, Florida, USA.

“AI will take EAM to the next level. Our vision for AI is to focus on real world use cases,” says Chris van den Belt, Head of Product Management, IFS Ultimo. “When considering what AI to integrate into our platform, we are only embedding features which will add significant value for our customers and improve their user experience. Infusing our EAM platform with AI functionalities will radically improve employee productivity and maximise asset availability.”

Many AI technologies are geared towards predicting and preventing failures and incidents. However, for the majority of organisations, these technologies are more of a long-term goal than a short-term reality. Reactive maintenance will continue to feature prominently in most organisation’s maintenance strategies. With this in mind, IFS Ultimo has made the conscious decision to harness the powers of AI to significantly reduce time spent on reactive maintenance. Realising these short-term benefits starting today puts long-term objectives within arm’s reach.

Minimising Downtime

It is estimated that 80% of time in MTTR is spent on diagnosing a problem. The biggest chunk of time wasted is due to a lack of communication and detail in failure reports. With Ultimo’s built-in AI capabilities, organisations can realise tremendous value with each percentage point reduction in MTTR. This is not ‘chump change’: the average cost of downtime in manufacturing often exceeds $100K per hour. Beyond the clear financial stakes, the productivity impact is also profound, especially in an industry where skilled labour is already hard to come by. Furthermore, the immense increase in overall data quality unlocks a wide array of new and exciting possibilities for achieving operational excellence.

The newly integrated AI functionality provides better quality of failure reporting. Having to spend less time on diagnosing a problem means skilled employees will benefit from increased wrench time, increased asset availability, reduced admin time, improved collaboration and improved employee satisfaction.

More Accurate Failure Reports

Front line workers spend the majority of their working day close to the assets they know so well. Any changes to the way these assets look, sound, smell or feel will not pass them by. Using a large language model (LLM), Ultimo detects the asset in question and provides a series of tailored suggestions that the reporter can easily add to the failure report without having to type. In doing so, all of the sensory observations are captured on the report accurately, providing maintenance teams with complete and accurate information to quickly solve the issue and increase asset availability and reliability.

This same approach will be used elsewhere in Ultimo to empower the faster resolution of diagnosed issues and enhance the accuracy of completed work activities registered in the system. The overall benefits include a substantial reduction of time spent on administration, severe improvements to data quality and a boost to employee satisfaction. Furthermore, Ultimo is working on integrated AI features that will greatly improve user experience, such as photo-based meter readings, auto-generated image and document captions and auto-translated multi-lingual data.

Van den Belt concludes: “We are dedicated to developing our products to help users do their jobs more easily with our best-of-breed EAM software. AI has the capability to enhance EAM in future-ready and efficient ways – empowering employees, improving asset performance, and reducing costs. We are very excited to bring these new AI functionalities to our customers while making sure all relevant data protection is in place.”

Read Similar

Podcast: How AI is Revolutionising Transport & Logistics

Automation’s Role in Alleviating Labour Shortage Pressures

The pandemic has undoubtedly had a knock on effect across the global labour force, as many companies were forced to downsize operations or shut their doors, either temporarily or permanently. This jolt to business-as-usual, followed by a mass exodus of workers from the labour force during the Great Resignation and a hangover from Brexit created a ripple effect in the UK workforce that continues to impact employers today.

In fact, ONS data has revealed that nearly one third of UK businesses are experiencing labour shortages after an increase in economic inactivity post-pandemic. The number of workers has declined by 545,000 in what became known as ‘The Great Resignation’, a drop that contributed to worsening inflation and which also limited public service funding. Other factors, such as Brexit, have also resulted in a damaging effect, with research suggesting that the UK has lost over 330,000 workers due to Britain’s decision to leave the EU in 2016.

Andrew Tavener, Head of Marketing for Fleet Solutions at Descartes Systems, explains how automation can help alleviate the UK’s labour shortage pressures.

Recruitment SOS

As a result of this ongoing worker supply and demand imbalance, organisations are struggling to secure the labour, knowledge workers, and leaders they need to thrive—and logistics and supply chain-focused businesses have been hit particularly hard. According to a recent survey, 76% of supply chain and logistics leaders are experiencing notable workforce shortages in their operations, with 37% of respondents characterising the resource shortage as high to extreme.

Although competition for resources is an enterprise-wide issue, the acuteness of the labour challenge varies by organisational function. According to survey data, transportation operations (61%) and warehouse operations (56%) were hardest hit by resource shortages, from truck drivers to the fulfillment team on the warehouse floor, as companies struggle to meet customer demands with fewer workers.

While these areas are admittedly highly labour-intensive, 55% of supply chain and logistics leaders said knowledge workers are the hardest to hire—and they are becoming increasingly important as supply chain and logistics operations become more technology-enabled and data-driven.

Throw the extreme demands of peak season into the mix—only 9% of logistics and supply chain leaders said workforce shortages did not impact peak season performance at some level—and companies are feeling the pressure. And not only is the labour shortage affecting companies’ peak season, financial, and logistics partner performance, but it’s also taking a toll on customer service performance, with 58% of respondents specifying that workforce shortages have negatively impacted service levels.

How technology helps turn the tide amidst workforce constraints

Staring down the barrel of critical labour shortages, logistics-focused organisations are centering their operational strategies around automation and technology solutions to ease the resource burden. A recent study that examined which strategies and tactics companies are implementing to survive the current labour shortage revealed that 54% of the supply chain and logistics leaders surveyed are focused on automating repetitive tasks and non-value-added services —a logical step in reducing the resource footprint to perform at higher levels with fewer workers.

The survey also found that 50% of the logistics-focused organisations surveyed are leaning into centralising operations (e.g., centralised transportation planning). Typically executed through cloud-based solutions leveraged as shared services across the enterprise, this strategic approach helps increase operational efficiency without increasing headcount.

Tech in action

How does the goal of automating repetitive, low-value tasks and leveraging technology to drive efficiencies translate to the warehouse floor or to transportation operations? Driverless vehicles, robotics, drones, and soft and hard automation in the warehouse are all on the table for supply chain and logistics decision-makers but there are some clear productivity-boosting technology winners in the pursuit of mitigating current labour challenges in these areas.

To help drive productivity gains for labour workers, a late 2023 survey of 1,000 supply chain and logistics decision-makers across three sectors: 1) manufacturing, distribution and retail; 2) carriers; and 3) logistics services providers revealed that delivery route optimisation (54%) and driver mobile productivity (45%) solutions are the top technology choices. To mitigate the impact of the shortage of knowledge workers, automated real-time shipment tracking (53%) emerged as the top technology choice.

Indeed, for distribution-focused organisations, deploying automated technology solutions that optimise route planning and execution and mobile apps that help drivers perform more efficiently (and safely) on the road translates to productivity gains that reduce labour requirements.

For instance, strategic route planning solutions increase route density and asset utilisation, while reducing planning time and resources required to deliver maximum efficiency. In another example, intelligent dispatch and tracking software uses real-time GPS to ensure responsive, more consistent on-time delivery performance that helps to keep customer service standards high.

In the warehouse, some companies are turning to robotics and automated guided vehicles (AGVs) to eliminate the need for manual labour. On the back end, warehouse management systems (WMS) with barcode-based pick and pack workflows, multi-carrier parcel/LTL shipping automation and capabilities for real-time visibility into the order journey help companies minimise labour costs and fulfil more orders while enhancing the customer experience.

Perhaps even more importantly, automated logistics and supply chain technology solutions not only ramp up productivity but play a role in improving employee retention by simplifying and streamlining daily workflows for warehouse staff, planners, dispatchers, and drivers —a valuable advantage amidst ongoing labour constraints.

AI making waves

In the wake of the launch of ChatGPT, interest in Artificial Intelligence (AI) has surged and generative AIs have raised awareness and expectations related to AI technologies, as well as opportunities to bring new capabilities into the market. Supply chain and logistics leaders are also looking to AI to help improve operational efficiency and worker productivity. According to the survey, almost 30% of respondents are in the process of investigating AI technology while 53% are planning to deploy/partially deployed/fully deployed in their AI implementations.

As logistics becomes increasingly data-driven, the ability of AI to analyse vast volumes of data in the blink of an eye will continue to propel technology innovations. While AI-based capabilities like, for example, predictions and event detection in the context of route planning and transportation management, have been embedded in logistics technology for years now, the capacity of AI to continuously evaluate tens of thousands of data points and variables and make learned adjustments will help to further automate and accelerate logistics processes, eliminate redundancies and inefficiencies, and increase worker productivity.

Looking ahead

For supply chain and logistics leaders faced with the challenge of keeping operations profitable with fewer resources post Brexit, post pandemic and after the Great Resignation, technology is changing the face of the strategies, tactics, and best practices used. For labourers bogged down with repetitive and time-consuming low-value tasks and for knowledge workers spending an inordinate amount of time preparing data, compiling reports, or tracking shipments manually, automation is a gamechanger.

With technology-powered tools doing the bulk of the heavy lifting, workers can free up valuable productive time to focus on more meaningful tasks, while enjoying more simplified and streamlined workflows that enhance their daily work experience and, ultimately, help improve retention rates. From the C-suite perspective, the combined power of automating low-value, repetitive tasks and adopting technology-driven solutions spurs increased productivity, supply chain visibility, and top- and bottom-line performance while fostering more positive employee, partner, and customer experiences.

similar news

https://www.logisticsbusiness.com/materials-handling-warehousing/automation-handling-systems/industry-view-quick-automation-solutions-can-solve-labour-shortage/

 

Road Safety: See it, Say it, Sorted

Data insights on road safety lead to action. At Samsara’s Beyond event in Chicago David Priestman learned how transport businesses can work smarter.

Chicago is a mightily impressive city. The construction of canals and then railroads made it the perfect location for trade and Chicago became the dominant port for wood in North America, with miles of lumber yards along its riverside, receiving timber from across the great lakes. Feats such as reversing the course of the river, reclaiming land from Lake Michigan and building the first skyscrapers followed. Workers flocked from everywhere, warehousing and stockyards boomed. A fitting venue, then, for discussing logistics.

Samsara’s CEO, Sanjit Biswas, has positioned the company and its AI and IoT technology to assist transport operators with challenges such as cargo detecting, trailer location, reefer monitoring, fuel saving, EV adoption, telematics and, above all, road safety. He pictures the service as a ‘flywheel’ – a virtuous circle for customers. AI creates the insights, using Samsara’s operational data and images, which leads to recommended actions for driver coaching, asset utilisation, EV suitability and emissions.

Over the last 12 months Samsara’s platform was used for 60 billion miles of driving, 75 billion API (application programming interface) calls and 9 trillion data points. DHL are a major customer and has reported a reduction in significant accidents by a quarter, with a halving both of the cost of accidents and of driver turnover. Impressive, given that DHL considered its fleet to be safe before switching to Samsara. “We’re just getting started,” declares Biswas, as applications in other sectors, such as construction and agriculture, are sought. With 290 integration partners Samsara try to make it easy to get set-up.

Same driver pool

Brakes Food distribution, part of Sysco, has had 1500 Samsara-equipped trucks for nearly two years. Prior to that Brakes used CCTV to monitor drivers, but could only do 10% of the fleet at a time, with little feedback, no real statistics and time delays for taking out the hard drives to look at the footage. “It was telematics without context,” explains Mike Cox, head of Health & Safety, “you might find bad driving but we want to be proactive, not reactive. We’re all fishing in the same driver pool.”

With Samsara, events are delivered to line managers instantly. “We thought we didn’t have a mobile phone problem,” adds Cox, “but we spotted 40 in the first month alone. We expected just 2! If you’re a 3PL not using AI and think you don’t have a phone usage problem think again,” he advises. When Brakes trialled Samsara one driver was caught watching a film on an iPad and checking his phone. Not only was he dismissed by Cox, the driver was also reported to the police.

Now Brakes analyses harsh breaking and turns. “With incidents we know if the driver is telling us the truth,” Cox states. “We can have better conversations with drivers as we can see the context. Sometimes it’s complicated, but we have these conversations within 24 hours.” The company’s insurance costs are down by 90%, on-road events down 40%, cost-per-claim down 10%. “Overall it’s less work for managers,” he concludes, “we can spot natural harsh turns, speed bumps, potholes etc. Extra work on screen is better than going to the vehicle to retrieve the hard drive.”

Tag your assets

A new product unveiled at Beyond is the Asset Tag. The size of a key fob (see picture), it is very durable. The tag uses Bluetooth to ping any Samsara gateway device in the vicinity. As all other devices are cellular and GPS-based, providing constant connectivity, the Asset Tag can piggyback on that network to provide exact location updates for high-value items in transit, giving cloud-based visibility. It has a 4-year battery life, no door or moving parts and can be applied to totes or pallets.

Samsara tested it by freezing, dropping and even striking with a golf driver club – the tag remained intact and functioning. On a 2000 mile test trip one Asset Tag was picked up by the Samsara network 1500 times, with 200 ‘pings’ a day. The tags are being manufactured in Mexico at scale. “Creative customers will find their own solution for them,” VP or Product Platform Sean McGee told me.

Let’s go

British electrical appliance online retailer AO has a national distribution centre in Crewe plus local depots, operating a fleet of 1000 commercial vehicles. Switching to Samsara from a telematics provider, “the demo was an eye opener,” according to Holly Beveridge, AO Commercial Business Partner. “Before switching members of the public would complain to us about bad driving twice a week, but it’s much less now.”

Fraikin provide a full-service contract hire fleet to AO, equipped with Samsara devices. “Fraikin gives us access to Samsara as part of a value-added service,” Beveridge explains. “This was the key moment when we realised that the most effective way of reducing our vehicle repair bills would be to leverage Samsara.” AO report a £2.2 million saving overall, including insurance cost reductions. Spending on tyres and new windscreens is down as a result of better driving. Fuel spend and engine idling are also lower.

AO’s drivers are self-employed and the logistics operation has seasonal peaks. Next day delivery is standard, with service, installation and recycling of old appliances offered. “We handle bulky products and heavy payloads,” Beveridge informs, “there’s little automation. Goods are sack-barrowed from the loading bay.” Driver coaching used to take days, with weekly meetings typical. Each depot has a driver manager. “Now we have the driver name (not just the vehicle registration number) and can do digital walkarounds. We get vehicle alerts for speeding and harsh events. Initially there were lots of alerts, now its fewer. We call the driver when an alert happens as we have 2-man crews which makes it safe.”

AO are trialling Samsara’s dashcams, to add them to the tech used. “We’re taking drivers on a journey,” Beveridge says, “rather than imposing it. Drivers are not keen but we’ll persuade them it’s in their interest too. We still have accidents, but they’re not as big.”

Safety first

Samsara tech is also being used for forklift fleet inspection checks, using the ‘Connected Forms’ App for safety and compliance needs. Accidents trigger a report and workflows are automatically assigned, using ‘Connected Training’ which has customised courses and quizzes. Biswas told me, “we cover operational assets, including all materials handling equipment. Safety inspections are a big use case. This is part of our expansion into lots of different vehicles and we’re thinking globally.”

New APIs launched this year include lane departure warning, drowsiness/fatigue and forward collision alerts. The core set of safety training provided by the platform is based on the various alerts, which also include heavy braking, phone use, seatbelt use, tailgating and fast acceleration. This triggers training on specific behaviour and reduces the time involved for it as it’s done remotely. Alerts are meant to ‘nip problems in the bud’, rather than recalling drivers to their depot. Immediacy is best for corrections. The platform capture all the alerts in one place, so all the data is there.

Outcome is more important than hardware. “Can we get to the driver before they have an accident?” Ingo Wiegand, Samsara’s safety expert, asks. “We make that possible by spotting good drivers and bad drivers easily. We can exonerate innocent drivers on the spot due to the video footage,” which creates a good butterfly effect. The dashcam has been refreshed, for new installations and there are camera connectors for side cameras on trailers. Blindspot detection technology may be added soon. One Mexican 3PL customer, Trayecto, has a panic button for drivers, to provide security and reassure them that they are not alone. Fewer thefts means higher driver retention.

It’s Electrifying

Most Samsara customers deploy multiple solutions, including TMS and telematics. “We don’t expect to be the only tech supplier to them,” states Robert Bales, Director of Product Management. “We don’t offer order management or TMS but we overlap on work modules, routing, driver applications and digital proof-of-delivery.”

Electric vehicle adoption is an opportunity for Samsara to add further value. “Investment in charging sites is open data,” Bates adds. “We help customers see the state of the battery, charging profile and battery degradation, advising them what percentage charge is optimal to enable journeys to be completed quicker.” Europe is ahead of the USA on EV uptake. Distances are shorter and user incentives higher, with better charging facilities. It makes sense to switch to EVs, says Bales, if your fleet is mainly operating shorter routes and charging at your own warehouses and DCs, rather than opportunity charging.

One new EV is Freightliner’s eCascadia HGV truck, which can be 80% charged in 90 minutes, with a range between 155 and 230 miles. Samsara provide EV suitability analysis, looking at a vehicle’s usage, mileage and fuel cost per mile to advise which ICE trucks and vans are least efficient and should be switched to EVs first. It can make direct comparisons from mpg to kWh, or a threshold can be selected, such as a cost per mile cap to see how many vehicles should be changed. Autonomous vehicles (AVs) is the next horizon, but is not forecast to eliminate driver shortages and may bring additional costs plus the obvious challenges of charging and crossing borders. Platooning AVs in convoy is probably years away.

Deploying Samsara implies a certain amount of engagement for the transport operator. There’s a minimum of 1-2% fuel saving. Heavy users with large fleets can make 6-7% fuel and idling reductions. On a fleet of 1000 that is a big saving. Drivers can even be incentivised financially to help achieve these results. Business-savvy Chicago would approve.

similar news

Samsara Launches Sustainable Fleet Management Solution

 

How Digital Dispatchers are Revolutionising Fleet Operations

In the long-haul full truckload (FTL) industry, dispatchers have traditionally relied on manual processes and years of experience to navigate a complex regulatory landscape, fluctuating fuel prices and evolving customer demands. While functional, this approach is far from optimal, putting pressure on dispatchers and leading to inefficiencies and missed cost-saving opportunities.

But this is finally starting to change. The logistics landscape is undergoing rapid digital transformation, and the dispatcher’s role is no exception. No longer a route and schedule coordinator, the modern dispatcher is evolving into a data strategist, harnessing technology to optimise fleet operations and drive efficiency. So, what technologies are driving this change? And how can we expect the dispatcher’s role to evolve further?

From dispatcher to data strategist: The power of predictive analytics

In the past, dispatchers had to scramble to gather information from various sources in order to estimate disruptions (e.g. weather forecasts, GPS and messaging applications). Often, they relied on a reactive ‘firefighting’ approach, using manual processes to calculate and recalculate available driver hours and ETA.

However, predictive analytics – such as utilising AI and machine learning to identify the likelihood of future outcomes based on historical data – is transforming dispatcher operations. Thanks to this, dispatchers can forecast potential disruptions, such as congestion, adverse weather events or vehicle maintenance requirements, and preemptively adjust routes, schedules, and resource allocation. Data suggests dispatchers see time-savings of 25-45% from the automation of itinerary monitoring and recalculation.

Predictive analytics tools transform dispatchers into proactive data strategists, allowing them to play an active role in boosting the bottom line by minimising delays, reducing operational costs and enhancing customer satisfaction.

Data-driven decisions: Real-time insights

The same FTL long-haul trip can have hundreds of different execution plans depending on driver availability, day of the week, time of year, planned roadworks, customer requirements and more. The possibilities are endless. Experienced dispatchers are great at putting together feasible execution plans considering these factors. However, relying on real-time data is the best way to make an optimal choice.

Real-time data is only useful if companies have the tools and resources to analyse it and action the resulting insights. Dispatchers are perfectly placed to help maximise the power of real-time data. They just need the right tools.

Thanks to recent advances in AI and ML, algorithms are emerging that simultaneously consider commercial tasks (loading, unloading, secure parking, etc.), non-commercial tasks (parking, refuelling, border-crossing, etc.), driver regulations and route planning to create the ‘ideal’ trip execution plan which is a game-changer for dispatchers. For instance, recent data indicates that dispatchers can save an average of 2.5 cents per litre simply by optimising refuelling, given that fuel prices differ by up to €0.60 per litre across Europe. This might seem small, but it adds up to €30,000 in monthly savings for a fleet of 500 trucks.

Some compare these algorithms to a ‘digital version’ of an experienced dispatcher’s brain. But the truth is much more nuanced. They won’t replace dispatchers, but enhance their capabilities and empower them to make better decisions based on real-time data.

What’s next for dispatchers?

The dispatcher’s role is evolving from a tactical executor to a strategic orchestrator of complex logistics networks. In short, the digital dispatcher isn’t just a trend – it’s the future of logistics.

The next era of dispatching lies in embracing technologies like AI and ML to automate routine tasks and analyse vast datasets. To gather the data needed for AI and ML algorithms, we’ll see greater use of IoT sensors on trucks, enabling dispatchers to monitor vehicle performance in real time, predict maintenance needs and prevent costly breakdowns.

The above technologies free dispatchers from tedious manual calculations, allowing them to focus on higher-level strategic decision-making. By embracing them, they can unlock new levels of efficiency, productivity, and customer satisfaction, ultimately driving the success of the business and the entire industry.

Read Similar…

App May Prevent Supply Chain Delays from EU Biometric System

Transforming Global Supply Chains with AI-Driven Solutions

Brother Industries has announced its collaboration with Kinaxis to transform its supply chain management through the use of AI-driven technology. With operations in over 40 countries and a diverse product portfolio, Brother needed a solution to handle intricate logistics and improve supply chain visibility. Kinaxis’ RapidResponse platform was chosen for its ability to enhance demand forecasting, scenario planning, and real-time decision-making.

“From the beginning, Kinaxis demonstrated a clear understanding of our business and all its complexities. From there we formed a partnership based on trust and a passion for innovative solutions, like their unique approach to supply chain orchestration, which made the decision to go forward with this transformation easy,” said Kosaku Sakai, Production Strategy Planning Department Manager at Brother Industries, LTD.

This partnership aligns with Brother’s goal of streamlining operations and delivering superior service. “Our aim is to build a resilient and agile supply chain that meets our customers’ needs,” said Hiroshi Ikematsu, a senior executive at Brother. The move also aligns with broader industry trends toward smart logistics, where AI-driven technology offers improved demand predictions, optimized inventory management, and faster adaptation to disruptions.

John Sicard, CEO of Kinaxis, remarked, “We’re excited to support Brother Industries in optimizing their supply chain strategies to better serve their global customer base.” This deployment reflects Brother’s ongoing focus on digital transformation, ensuring it remains competitive while maintaining high service standards.

In addition to optimizing supply chain efficiency, the partnership with Kinaxis also seems to reflect Brother Industries’ broader commitment to digital transformation and sustainability. By leveraging AI-driven tools, Brother can reduce waste, minimize resource usage, and ensure more sustainable practices across its global operations. This focus on sustainability is increasingly important as the company adapts to shifting industry trends and regulatory demands. As Brother continues to innovate, this collaboration marks a significant step toward not only improving logistics but also achieving long-term environmental and operational goals.

Read Similar…

Ensure EWM Changes aren’t the Weak Link in your Supply Chain

Subscribe

Get notified about New Episodes of our Podcast, New Magazine Issues and stay updated with our Weekly Newsletter.