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Industrie Nieuws • 4 min lezen

Schakelen wagenparken over op autonome voertuigintegratie?

Gemaakt: 28-08-2025

Bijgewerkt: 28-08-2025

Het geroezemoes rond zelfrijdende auto's is niet meer zo luid als vroeger, maar het blijft een constant geluid in de oren van wagenparkbeheerders. De regering van het Verenigd Koninkrijk heeft de proefplannen voor de integratie van autonome voertuigen verschoven naar 2026, waardoor de belangstelling voor de technologie weer is toegenomen. Zullen besluitvormers het lawaai negeren of de vroege adoptie omarmen?

Wat houdt de integratie van autonome voertuigen in?

Autonome voertuigintegratie houdt in dat zelfrijdende technologieën zoals kunstmatige intelligentie, LiDAR (Light Detection and ranging) en high-definition camera's worden geïntegreerd in commerciële wagenparken. Op grotere schaal gaat het om de introductie van zelfrijdende auto's in bestaande openbaarvervoerssystemen.

Rijhulpsystemen omvatten het vermijden van botsingen, automatische snelheidsaanpassing, rijstrookcentrering, adaptieve cruise control en intelligent ride-hailing. Gedeeltelijke en voorwaardelijke automatisering maken gebruik van meer geavanceerde technologieën om handsfree bediening onder bepaalde omstandigheden mogelijk te maken.

Automatisering op niveau 4 en 5 zijn topprioriteiten voor autofabrikanten, maar moeilijk te implementeren in de praktijk omdat ingenieurs rekening moeten houden met talloze randgevallen. Zelfs met geavanceerde AI kan het moeilijk zijn om het parkeren te perfectioneren en botsingen te voorkomen. Wat als de stoepmarkeringen nauwelijks zichtbaar zijn of een kind de weg op rent? De goedkeuring hangt af van de reactie van de auto.

Schakelen wagenparken over op autonome voertuigintegratie?

Volgens het Centre for Connected & Autonomous Vehicles heeft transportminister Heidi Alexander bevestigd dat de Britse regering de plannen voor commerciële pilots met zelfsturing zal versnellen en zal mikken op het voorjaar van 2026. Deze stap zou bijna 40.000 banen kunnen creëren en £42 miljard kunnen toevoegen aan de Britse economie tegen 2035.

De nieuwe wetgeving voor geautomatiseerde voertuigen van het land behoort tot de meest solide ter wereld en legt de basis voor een wijdverspreide commerciële toepassing. De enige resterende hindernis is de technologische maturiteit.

In een interview met McKinsey & Company zei Sascha Meyer - de CEO van het Duitse autotechnologiebedrijf MOIA - dat het voorspellen van tijdlijnen voor de integratie van autonome voertuigen een uitdaging is. In 2016 geloofde haar bedrijf MOIA dat bestuurderloze voertuigen zich tegen 2021 in heel Europa zouden verspreiden.

Sindsdien heeft Meyer zich gerealiseerd dat adoptie betekent dat er een heel ecosysteem moet worden ontworpen, niet alleen de rijfuncties. Volgens de nieuwe tijdlijn zullen zelfrijdende auto's op zijn vroegst in 2030 in Europese steden rijden. De ingenieurs van MOIA ontwerpen het prototype zodanig dat het de verplichte redundanties overtreft. Op deze manier zijn ze klaar om commercieel te worden zodra de relevante wetgeving is aangenomen.

Factoren die het gebruik van bestuurderloze voertuigen stimuleren

Bezorg-, taxi-, nuts- en commerciële wagenparken zien een toename in bestuurdersassistentiesystemen en intelligente automatisering. De penetratiegraad blijft echter relatief laag, zeker als je bedenkt hoe lang de technologie al bestaat. Wat zijn hun plannen voor autonomie?

Verhoogde efficiëntie is een van de belangrijkste redenen waarom wagenparkbeheerders automatisering omarmen. In tegenstelling tot mensen kunnen bestuurderloze bestelwagens de klok rond werken. Met telematicasystemen kunnen ze het rijgedrag optimaliseren en de stilstandtijd minimaliseren om de brandstofefficiëntie te verbeteren en ritten te versnellen.

AI is immuun voor menselijke fouten en voorkomt hard remmen en afgeleid rijden. Het kan niet vermoeid raken en heeft geen dode hoeken. Deze verbeteringen kunnen botsingen en auto-ongelukken op de weg helpen verminderen, wat kostbare claims voor werknemerscompensatie kan beperken en mogelijk de verzekeringskosten kan verlagen.

Kostenbesparingen zijn een andere factor. Op niveau 4 en 5 kunnen eigenaars de arbeidskosten optimaliseren en chauffeurstekorten compenseren. Bovendien kunnen elektrische bestuurderloze auto's met voertuig-naar-net capaciteit de bedrijfskosten met bijna 20% verlagen over 30 jaar, waardoor de initiële investering wordt gecompenseerd.

Factoren die de overstap naar bestuurderloze voertuigen vertragen

Naast het wachten tot de bestuurderloze technologie volwassen is, stellen fleetowners de overstap uit vanwege de hoge aanloopkosten. Het inbouwen van LiDAR, AI en telematica in elke vrachtwagen is duur. Nieuw kopen in plaats van achteraf inbouwen is net zo duur. Zelfs als er kostenbesparingen mogelijk zijn, gaat de technologie snel - hun investering kan snel verouderd zijn.

Veiligheid is een andere zorg. Fotocel sensoren zijn standaard aanwezig in de meeste moderne garagedeuren. Ze voorkomen dat de deur op voorwerpen, auto's of mensen sluit en worden in de hele industrie gebruikt in wasstraten en assemblagelijnen. Hoewel sommige autofabrikanten alleen camerasystemen gebruiken, moesten ingenieurs nieuwe oplossingen uitvinden. Tegenwoordig gebruiken veel fabrikanten LiDAR, wereldwijde navigatiesatellietsystemen en ultrasone sensoren.

Maar zelfs de meest geavanceerde systemen zijn feilbaar. Het is niet genoeg om geautomatiseerde auto's net zo goed te laten presteren als mensen - ze moeten slagen waar menselijke bestuurders falen.

Sensoren bestaan al jaren, maar ingenieurs hebben ze nog niet geperfectioneerd. Ze kunnen falen in randgevallen of onbekende scenario's. Level 3-auto's werken alleen op vooraf in kaart gebrachte, verdeelde snelwegen bij helder weer. Gezien het feit dat het Verenigd Koninkrijk in 2021 150 dagen neerslag heeft gehad, kunnen ze te onbetrouwbaar zijn om op grote schaal te worden toegepast.

Hoe het VK zich kan voorbereiden op autonome voertuigen

De integratie van autonome voertuigen mag dan wel langzaam gaan, maar ze ligt op koers om binnen het volgende decennium haar bestemming te bereiken. Volgens onderzoek van Goldman Sachs zou tot 10% van de nieuwe auto's die wereldwijd verkocht worden tegen 2030 van niveau 3 kunnen zijn. Het voorspelt dat niveau 2 - auto's die toezicht van de bestuurder vereisen - zal stijgen van 20% van de verkopen in 2025 tot 30% in 2027.

Managers moeten de reikwijdte en de kosten van autonome vlootintegratie in overweging nemen om te bepalen of vroegtijdige adoptie geschikt voor hen is. Het zal waarschijnlijk resulteren in besparingen op de lange termijn, maar wachten kan lonender zijn omdat het tijd biedt voor technologische vooruitgang. Als de kosten-batenanalyse niet overtuigend is, moeten ze overwegen om stapsgewijs te upgraden naarmate auto's uitvallen.

Wie overgaat tot adoptie moet beleid ontwikkelen voor bediening, opslag, beveiliging en upgrades. Deze regels moeten variëren afhankelijk van het automatiseringsniveau. Bestuurders van vrachtwagens van niveau 3 zouden bijvoorbeeld verplicht moeten worden om hun aandacht volledig bij de weg te houden en indien nodig de controle over te nemen.

Werknemers voorlichten over hun rol is essentieel voor een succesvolle implementatie. Uit onderzoek van Volkswagen Financial Services bleek dat zes op de 10 mensen zichzelf betere bestuurders vinden dan autonome voertuigen, dus het is onwaarschijnlijk dat ze de capaciteiten van het bestuurderloze systeem overschatten. Toch moeten ze expliciete training krijgen over de beste praktijken en gewoonten die ze moeten vermijden.

De toekomst van autonome vlootintegratie in het Verenigd Koninkrijk

Zelfrijdende machines zijn hard aan het werk in havens en magazijnen in heel Europa. Het automatiseren van snelwegvoertuigen is een grotere uitdaging omdat ze niet op een vaste baan rijden. Bovendien moeten ze rekening houden met variabelen zoals het weer en andere automobilisten. Geofencing, telematica en AI versnellen het gebruik door het onvoorspelbare voorspelbaar te maken. Op zijn minst verbeteren deze oplossingen de reactietijden en verminderen ze menselijke fouten, wat aantoont dat deze tot nu toe onbewezen technologieën net zo capabel zijn als menselijke automobilisten.

Op dit moment blijft volledige automatisering die menselijke aandacht overbodig maakt theoretisch. Handsfree rijden is echter realiteit en bestuurderloze systemen zouden binnenkort standaard kunnen worden in commerciële wagenparken. Terwijl automakers de rijfuncties perfectioneren, moeten fleetowners prioriteit geven aan het in kaart brengen van routes, chauffeursbeheer en het plannen van onderhoud.

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dinsdag 16 december 2025 • Industrie Nieuws

WAT DE VERPLICHTE DIGITALE REGISTRATIE IN SPANJE BETEKENT VOOR VLOTEN IN EUROPA

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Spain is preparing for one of the most significant transport reforms in its recent history. The Sustainable Mobility Law (Ley de Movilidad Sostenible), which received final approval in November 2025, will introduce mandatory digital records for road freight control documentation, creating a more transparent, enforceable and efficient system for domestic and international carriers. Although this is a major national change, it forms part of a wider trend. Across Europe, governments and operators are moving towards a fully digital freight environment as the EU prepares to implement the (eFTI).For fleets working in and out of Spain, this is the start of an important transition. 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Rather than relying on handwritten notes or physical documents that can be misplaced, carriers will store, share and verify transport information digitally. For operators, this should mean fewer disputes over documentation, less ambiguity around compliance requirements and greater certainty when preparing for audits or regulatory reviews.In practice, the obligation focuses first on the digital control document used for roadside and regulatory checks, but it is expected to accelerate wider use of eCMR and other digital freight documents across the supply chain.The timeline for implementation will begin once the law is published in Spain's Official State Gazette. Carriers should expect the digital control document obligation to take effect roughly ten months after publication, making 2026 the likely year when full compliance will be required.The Mobility Law applies to road transport operations that fall under Spanish control rules on Spanish territory, not just Spanish-registered companies. Carriers will need to ensure their systems can produce and transmit digital records in compliant formats. Any delay in adopting digital documentation could slow down inspections or disrupt customer schedules.This means that foreign operators running international loads into, out of or through Spain should plan on being able to provide the required control document in digital form when requested by Spanish authorities.The Spanish reforms align closely with the EU’s eFTI Regulation, which will require Member States to accept digital freight documentation once the technical and certification rules are in place (from mid-2027). eFTI sets a unified framework for how information is structured, transmitted and verified. While it obliges authorities to accept digital records, it does not require operators to use them. Spain’s Mobility Law therefore goes further, making digital control documents mandatory for road freight.Under eFTI, carriers will be able to provide freight information electronically through certified platforms. Enforcement authorities will receive that information through secure digital channels. This should reduce administrative friction across the EU’s busiest freight routes.Spain is not alone in taking early steps. Several EU countries have already moved towards paperless freight systems and their experience demonstrates what a fully digital environment could look like.● The Netherlands has been one of the earliest adopters of eCMR and has trialled end-to-end digital workflows across different modes of transport. ● France also moved early, supporting digital documentation and faster roadside checks following its ratification of the eCMR protocol. ● In the Benelux region, Belgium, Luxembourg and the Netherlands are running a joint eCMR pilot and digital logistics corridor, illustrating how interoperable documentation can work across national boundaries.● Denmark and Sweden have operated national e-freight trials designed to simplify the sharing of transport information. 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For operators managing complex schedules, this increased predictability supports better planning and stronger customer service.Drivers are likely to benefit too. A shift to digital records reduces administrative pressure and helps avoid disagreement at delivery points. With all documents stored digitally, drivers have a single source of truth that is accepted across the supply chain.Fleets may need to invest in updated transport management systems or integrate new tools that support digital documentation. Operators may require additional support and training to shift from paper-based processes to new digital workflows.There will also be a period of adjustment in which paper and digital systems may operate side by side. As eFTI becomes established across Europe, some countries will move faster than others. Operators travelling across different borders may encounter varying expectations, particularly in the early years.Throughout this transition, driver welfare should remain a priority. The administrative load associated with new processes often falls on drivers. Clear training and straightforward systems will be essential.Spain’s Mobility Law marks an important moment in the evolution of European freight. It reflects a sector that is modernising at speed and preparing for a future built on digital workflows rather than manual paperwork. Operators that begin preparing now will be in a strong position as Spain’s digital control document requirements take effect and eFTI comes into force across Europe.At SNAP, we support fleets across Spain and the wider continent with tools that make daily operations simpler and more predictable. The intruck app helps drivers locate and book secure parking along their route, which is particularly valuable as compliance processes evolve. If your fleet is preparing for Spain’s new requirements or the broader digital transition across Europe, SNAP is here to support every step of the journey.

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woensdag 10 december 2025 • Industrie Nieuws

DE BEGROTING VAN HET VERENIGD KONINKRIJK VOOR 2025: WAT BETEKENT DIT VOOR DE TRANSPORTSECTOR?

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The arrives at a difficult moment for the road transport sector. Operators are working against rising wages and operating costs, tight margins, ageing infrastructure and ongoing pressures around recruitment. At the same time, the shift towards cleaner mobility is accelerating, creating new expectations and increasing the need for long-term investment.The following article outlines what the Budget means for infrastructure, investment, workforce costs and the wider operating environment for haulage.For many years, fleets have been affected by deteriorating roads, weight restrictions on ageing bridges and the growing unpredictability of journey times. Government and industry data makes this clear. More than one in every ten miles of network in England and Wales is likely to require maintenance within the next year, according to reporting, and the backlogs for resurfacing work continue to rise. These issues lead to vehicle damage, driver fatigue, higher insurance costs and disrupted schedules. They also place additional pressure on operators already dealing with narrow margins.The new Budget acknowledges these concerns. One positive step is the substantial funding for strategic national projects, including almost £900 million allocated to the , which should reduce congestion, provide more reliable journey times and a safer driving environment for HGVs.Local authorities will also receive a share of and address the growing number of potholes. This could make a noticeable difference for fleets. Local roads carry the majority of domestic freight and serve as the first and last mile of nearly every delivery. Improving them should reduce wear and tear on vehicles as well as operational strain. These commitments will not fix decades of underinvestment immediately, but they represent an important shift towards a road network that is more resilient and better suited to the realities of modern logistics.The Budget also places more focus on skills. for under-25s working in small and medium-sized businesses could help attract new entrants into a profession that urgently needs them. The driver shortage is well documented. The UK must recruit around in order to stabilise supply chains, and across Europe the average age of professional drivers continues to climb. Only a small proportion of drivers are under 25, and training costs have been a barrier for many younger candidates.Providing funded apprenticeships makes logistics more accessible at a critical time. It also supports smaller operators, who often struggle to invest in training despite needing to expand their teams. The Budget introduces further support for investment, particularly around fleet renewal. Operators installing charging infrastructure can take advantage of a 100% first-year allowance until March 2027. This will help offset the upfront cost of electric HGVs and depot charging equipment.From January 2026, a new 40% first-year allowance will be available on many main-rate assets, including trucks – particularly useful where full expensing or the Annual Investment Allowance don’t apply, such as some leased fleets and unincorporated operators.While the Autumn Budget contains several positive measures, operators will also need to plan for increasing costs. Fuel duty will rise in stages between the end of August 2026 and March 2027. Fuel is already one of the largest expenses for operators, and the planned rises are likely to increase the emphasis on fuel efficiency, telematics, consolidated routing and fleet renewal.Vehicle Excise Duty (Road Tax) will be uprated in line with inflation from April 2026, including for HGVs. From April 2028, a new Electric Vehicle Excise Duty (eVED) will also apply a mileage-based charge to battery-electric and plug-in hybrid cars, on top of existing VED. Although eVED initially excludes electric vans and trucks, it signals a longer-term shift toward distance-based taxation that fleets will need to factor into future planning.The HGV Levy will also return to rising with inflation. Vehicles over twelve tonnes must pay the levy before using A roads or motorways, and the revised rate will add another cost that fleets must factor into forward planning.Larger, higher‑value properties are also likely to feel more pressure from business rates changes. The Budget confirms permanently lower business rates for retail, hospitality and leisure, funded in part by higher charges on the most expensive commercial premises. These include big warehouses and distribution centres, so operators with large sites can expect proportionately higher bills over time than smaller depots or high‑street locations.In addition, the Budget introduces several measures that directly affect the financial landscape for operators and the people who run or work within haulage businesses. Labour already represents one of the sector’s highest costs, and these changes will shape payroll planning, staff retention and the personal finances of many owner-operators.Minimum wage increases mean that employers will face higher staffing costs across warehousing, last-mile logistics and support roles. Many operators have already tackled wage rises in recent years, and this further uplift will add pressure at a time when margins remain narrow. For fleets that rely on overtime, night work or seasonal peaks, the impact will be even more noticeable.The Budget continues the government’s move toward greater digitalisation of tax and reporting. Compliance expectations will grow over the coming years, with stricter penalties for late VAT and Self Assessment returns and an expanded Making Tax Digital framework from 2027. Mandatory electronic invoicing will follow in 2029. Parcel carriers and mixed load operators will also be affected by changes to customs duty for low-value imports, which will apply to items worth less than £135 by March 2029 at the latest. While the aim is to even the playing field for UK manufacturers, it is likely to increase administrative pressure on haulage firms. These changes may eventually improve efficiency, but they will require investment in systems and staff training. Smaller fleets without dedicated administrative teams are likely to feel the adjustment most sharply.Although operators will face higher costs and increased administrative complexity, the 2025 Budget also provides some of the most significant commitments to the road network and skills pipeline seen in recent years. Taken together, these measures signal a Budget that attempts to balance fiscal constraints with long-term needs. The road ahead will still require careful planning and strategic investment, but there are genuine opportunities to strengthen the sector’s foundations and support a more resilient future for haulage.SNAP gives fleets practical tools to manage this shifting landscape, from parking access to data that supports compliance and operational decision-making. to discover how SNAP can help strengthen your fleet’s resilience in the months ahead.

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maandag 03 november 2025 • Industrie Nieuws

9 MANIEREN WAAROP AI DETECTIE DE VLOOTINDUSTRIE VERANDERT

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Artificial intelligence (AI) has redefined how fleet professionals approach daily operations. Modern technologies let managers measurably improve maintenance, safety and compliance across their vehicles. As regulatory pressures rise, AI-driven insights will be more critical in gaining a decisive edge. Here are nine ways AI detection is transforming the fleet industry. Advanced telematics and machine learning (ML) algorithms help AI detection in fleets by monitoring driver behaviour. These devices analyse real-time patterns and flag risky driving behaviours like speeding and harsh braking. ML models instantly process data from in-vehicle sensors and identify deviations from safe driving norms and company policies.Drivers receive immediate feedback in the vehicle, while fleet managers get detailed reports on trends. The wealth of information helps supervisors personalise coaching sessions and find specific improvement areas. Telematics solutions have been critical to fleets nationwide because through improved behaviour and training programmes. AI algorithms are essential to analysing real-time traffic data, like road closures and weather conditions. Congestion can be significant, especially if your routes pass through London. A 2024 Inrix report said drivers when driving in the capital city. ML models can quickly identify bottlenecks and adverse weather to meet critical delivery times. Fleet managers benefit because their drivers can improve on-time performance. Route optimisation means deliveries are more likely to arrive during scheduled windows. It also enhances driver behaviours by idling less and covering fewer miles. Modern AI technologies rapidly detect roadway closures and unexpected weather changes to minimise disruptions. Accident reporting used to include manual logs and documentation. However, AI can reduce labour needs by automatically detecting and submitting incident reports. From collisions to near misses, these technologies can recognise potential incidents. Sensors gather relevant information at the event’s timing to provide more context. Unusual circumstances like airbag deployment can also be part of the automatic reporting. Once AI detection is complete, the system compiles information into a standardised report. Manual logs can create time-consuming tasks, so AI can automate these processes and free up staff. Fleet managers and insurers receive the report, thus ensuring compliance and accurate communication. Advanced technologies capture relevant data and use consistent formatting, so all parties get the critical details. Unexpected vehicle breakdowns can disrupt schedules and delay deliveries. AI helps fleet managers detect these problems before they become significant issues. From engine temperature to oil pressure, characteristics are monitored in real time. Advanced algorithms identify subtle anomalies and alert operators when a component is nearing failure. While fixed service intervals can be beneficial, AI lets you be more proactive and schedule maintenance precisely. Tire pressure sensors are an excellent example, especially for construction and utility companies. Experts say air compressors than equipment needs to maintain best practises. These sensors continually monitor output and detect gradual drops, flagging early signs of leaks.AI detection in fleets goes beyond studying driver behaviour. Telematics and sensors analyse speed and acceleration patterns to better understand fuel consumption. The systems monitor your vehicles for excessive idling and inefficient routing that increases petrol or diesel usage. AI can tailor recommendations to drivers by offering optimised speed ranges or maintenance needs.Fleet managers benefit by getting aggregated data on fuel consumption and spending. This information helps them make more informed vehicle procurement and route planning decisions. If older vehicles show inefficiencies, it may be time to upgrade the lot. Logistics professionals should compare individual vehicles against industry standards to see outliers. The U.K.’s environmental goals by 2050. Therefore, fleet managers must be more aware of tightening standards and the risk of fines. AI detection helps vehicles through sensors and onboard diagnostics systems, which collect data during operations. ML algorithms identify patterns and anomalies within the information and notify of excessive emissions. AI can alert fleet managers and enable proactive maintenance if a vehicle exceeds emissions thresholds. While humans take measures to reduce greenhouse gases, AI detection is rising to help the transportation industry. A 2025 study said by adapting eco-driving capabilities. The U.S. researchers said implementing it in 10% of vehicles would reduce carbon emissions up to 50%. Another way fleet managers can reduce emissions is through electric vehicle (EV) conversion. EV ownership is rising nationally through private drivers and fleet owners, as a 2025 report from 2023. AI can assist logistics professionals in the transition by recommending when, where and how to electrify their fleets. First-time EV owners may need help with charging windows and infrastructure needs. AI-powered systems detect when and where electric cars could naturally align with charging windows. For example, it could recommend the best times to charge to reduce schedule disruptions. Some may be pondering the switch to EVs, so logistics managers can leverage AI to compare cost data between electric and petrol cars. While AI investment can be a barrier, it may be financially beneficial in the long run. These software options that slows daily operations. Early detection of issues can lead to a more well-maintained fleet, which creates more uptime and revenue. Fleet managers can also save money through enhanced route optimisation and fuel management. AI detection in fleets is essential for streamlining administrative processes. These technologies can automatically perform compliance checks and incident documentation, thus reducing the need for manual paperwork. Your operators can focus more on the bigger picture and less on administrative overhead. If monitoring helps your drivers, it could reduce the cost of vehicle repairs and legal claims. Vehicle and cargo theft ., though they remain significant concerns. AI detection offers additional security layers by reducing the window of opportunity for thieves. Asset tracking features combine GPS and telematics capabilities to monitor real-time location, essential for companies transporting high-value assets. Fleet managers benefit from geofencing features, allowing them to set virtual boundaries. If a truck or van exits these zones, AI-powered systems automatically flag the event and notify logistics professionals. The algorithm is intelligent enough to understand anomalies and security protocols. Abnormalities can trigger security measures like remote disabling. AI is a practical, game-changing tool for fleet managers. Advanced analytics and real-time monitoring empower logistics professionals to drive measurable safety and performance improvements. While technologies are developing, the future is here. Your business should be willing to invest in AI-driven solutions to reduce costs and minimise risks. Discover more from .