With the completion of the hypercare phase, KiK reports an entirely positive outcome: a structured, collaborative implementation, in-depth process knowledge, and a smooth go-live — both in Poland and Slovakia. Together, the two modern logistics centres form the backbone of the supply network for over 4,200 stores across 14 European countries.

The implementation of LFS was not just a technical challenge, but above all a collaborative project that crossed national borders. The central logistics team in Bönen, local staff on site, the SAP team, and EPG’s supply chain specialists worked closely together in a tightly coordinated effort. The excellent alignment among all parties involved was particularly praised. “The way the go-live was executed on site — it was truly first-class,” emphasized Michael Frölich, Managing Director of KiK Logistik GmbH. “The project team was exceptionally well-prepared, communicated as equals, and was consistently solution-oriented.”

142,000 Picks per Day

Kostolné Kračany demonstrates what modern warehouse logistics can achieve. Covering 46,000 square metres and offering around 40,000 pallet spaces, the LFS system manages all processes— from chaotic warehousing with an integrated FIFO principle to precise inventory traceability. The average daily throughput is 112,000 picks, with a record high of 142,000 picked units in a single day. In addition to textiles, the facility also handles seasonal non-food items such as decorations and toys. Specialized areas support the storage of hazardous materials and temperature-sensitive products like confectionery and beverages. Modern mobile data entry (MDE) devices and tablets are used throughout the facility, ensuring smooth process integration and transparent quality control from goods receipt to shipping.

Unified IT Structures as a Foundation for Scalability and Efficiency

With the implementation of LFS in Poland and Slovakia, KiK is pursuing a clear digital strategy: standardizing processes, harmonizing IT structures, and integrating new locations more quickly. Integration with the central SAP ERP system was achieved via standardized interfaces. Numerous custom extensions, such as for managing external warehouses or handling complex picking logic, highlight the system’s flexibility. A key success factor was the well-designed training concept. Employees were prepared for the new LFS using a hands-on approach in a test system. Lessons learned from the Polish rollout were deliberately applied to the implementation in Slovakia — an excellent example of effective knowledge transfer.

“The successful implementation of LFS at two international sites is the result of exceptionally close and trusting collaboration,” says Alain Linder, Team Lead Project Management Consulting at EPG. “Strong process knowledge on both sides, clear communication, and a shared goal made this project a true model for success.”

At KiK Logistik’s headquarters in Bönen, preparations for the next expansion phase are already underway. In the future, LFS will also control a fully automated high-bay warehouse with pallet conveyor technology at that location.

Future-Oriented: Real-Time Data, Transparency, and Paperless Processes

After going live, KiK continues to work closely with EPG to further develop its digital logistics landscape. Already today, the analytics tool TIMESQUARE provides meaningful real-time KPIs on pick times, warehouse utilization, and inventory transparency — an essential foundation for data-driven optimization.

The next milestone is the introduction of a digital delivery note. Currently, a physical packing list is still included in each shipment, but going forward this step will be completely paperless, from goods receipt to shipping. “With LFS, we haven’t just implemented a powerful warehouse management system — we’ve created a future-ready platform that evolves with our needs, both technically and operationally,” summarizes Frölich.

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From artificial intelligence to automation, these innovations are not only optimising efficiency but also enhancing safety, sustainability, and profitability in an industry critical to global trade and environmental preservation.

Danny Peachey (pictured), Manager Great Yarmouth from HTL Group, a leading provider of hydraulic torque wrenches, explores five key digital trends that are revolutionising the marine sector and reshaping the way we navigate and manage the world’s oceans.

Artificial Intelligence (AI) and Big Data Analytics

One of the most significant trends shaping the marine industry is the increasing adoption of AI and Big Data analytics. In fact, the Maritime AI market has seen an explosive expansion over the last year, nearly tripling in size, according to the new Thetius report commissioned by Lloyd’s Register. By analysing this data, AI systems can predict optimal routes and speeds, forecast maintenance needs, and reduce the likelihood of breakdowns. This proactive approach, called “predictive maintenance”, helps minimise vessel downtime. For example, the Danish company Maersk has implemented AI algorithms to predict machinery failures and optimise fuel usage, leading to substantial cost reductions.

The potential for AI goes beyond efficiency. Safety is a key benefit as AI-driven systems can monitor maritime conditions and forecast hazards such as piracy, extreme weather, or equipment failure, ensuring the safety of both ships and crews.

Autonomous Shipping and Robotics

Autonomous ships and robotics are redefining the future of the maritime sector. According to a study by Allied Market Research, the global market for autonomous ships is expected to reach £126,63 billion by 2030, with a compound annual growth rate (CAGR) of 6.8% from 2020 to 2030.

Autonomous ships reduce the need for large crews, which lowers labour costs and the risk of human error. They are equipped with advanced sensors, GPS technology, and AI, enabling them to navigate oceans efficiently. For example, Yara Birkeland, the world’s first autonomous, zero-emission container vessel, successfully completed its maiden voyage in 2022. This vessel operates with minimal human oversight and relies on a combination of onboard AI and remote operations.

Robotics are also making waves in the industry. Remotely Operated Vehicles (ROVs) and underwater drones are increasingly used for inspecting and repairing underwater infrastructure such as oil rigs and pipelines. These robots can perform tasks that would be dangerous or expensive for human divers, significantly reducing operational risks.

Blockchain Technology

The marine sector relies on complex supply chains, making Blockchain technology a game-changer. The global supply chain can involve multiple entities, ranging from shipping lines to customs authorities, creating opportunities for miscommunication, lost cargo, and fraud.

Blockchain’s decentralised, immutable ledger provides an unparalleled level of transparency, allowing all parties involved—shipowners, port authorities, customs agents, and freight companies—to have real-time access to data about cargo shipments and transactions

Furthermore, blockchain can facilitate the automation of contract execution through smart contracts, which automatically trigger payments, inspections, or approvals when certain conditions are met. By increasing trust and reducing delays, blockchain technology is helping the marine sector run more smoothly and cost-effectively.

The Internet of Things (IoT) and Smart Shipping

The Internet of Things (IoT) is creating an interconnected ecosystem in the marine industry, revolutionising everything from shipbuilding to operations and safety. By embedding sensors and communication devices into ships, engines, containers, and ports, IoT enables real-time monitoring of vessel conditions, cargo status, and environmental factors.

For instance, IoT can monitor a ship’s engine performance, detect wear and tear, and alert operators to potential mechanical failures before they become serious issues. It can also track cargo conditions—such as temperature, humidity, or pressure—ensuring that perishable goods like food or pharmaceuticals are transported safely and efficiently.

Danny Peachey, HTL Group

IoT is also revolutionising ports. Smart Ports use IoT systems to automate loading and unloading processes, manage energy consumption, and reduce bottlenecks. Ports such as Hamburg and Rotterdam are already implementing smart solutions that reduce port congestion and improve the flow of goods.

Sustainability and Green Shipping

As concerns over climate change grow, the marine sector is embracing sustainability and green shipping. The International Maritime Organization (IMO) has set ambitious targets to reduce the carbon intensity of international shipping by 40% by 2030 and 70% by 2050.

Digital technologies, such as AI and IoT, play a vital role in helping the industry meet these targets. For example, AI tools can optimise fuel consumption by adjusting ship speeds and routes based on real-time data. Moreover, the use of digital twin technology—a virtual replica of a physical ship—enables companies to simulate different designs and operational conditions, identifying the most energy-efficient options before they are implemented.

Low-carbon fuels, electric propulsion systems, and onboard energy management systems are increasingly being adopted, and digital platforms are being used to track carbon emissions, making compliance with environmental regulations easier and more transparent.

The marine industry is undergoing a significant digital transformation, driven by advances in AI, robotics, blockchain, IoT, and sustainability initiatives. These technologies are not only improving operational efficiency and safety but also helping the industry reduce its environmental impact. As these trends continue to evolve, the marine sector is set to become more agile, cost-effective, and sustainable, positioning itself for future growth in an increasingly digital world.

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How do you decarbonise an industry built on movement? Freight alone is responsible for an estimated 7% of global greenhouse gas emissions: a stark reminder of the sector’s environmental footprint. The cost of inefficiency is simply too big to ignore. As supply chains stretch and demand for fast, flexible delivery keeps rising, the pressure is only mounting. From underserviced fleets to empty mileage and poor routing, the industry suffers from breakdowns in planning and execution that don’t just drive up emissions — it also chips away at profits. But these challenges can be tackled.

Driving sustainable change with AI

AI is already delivering real sustainability gains across two critical areas that one wouldn’t necessarily consider at first sight: fleet maintenance and transport operations. By enabling faster decisions, streamlined processes and smarter systems, it’s allowing logistics to move cleaner, without compromising performance.

The stakes are high. According to Siemens, the world’s 500 biggest companies lose almost $1.4 trillion annually through unplanned downtime. This is equivalent to a staggering 11% of their revenues. Logistics operations, with their tight delivery windows and high asset utilisation, acutely feel this impact.

Fleet maintenance is often overlooked in the sustainability conversation, but it’s a critical area for impact. Vehicles that are overserviced waste resources — not just materials but time. Those underserviced are prone to breakdowns, costly repairs and early replacement. Either way, it’s bad news for both business and the environment.

Smart AI-enabled maintenance to extend asset life

AI offers a better way forward, starting with standardised maintenance. Predictive and optimised maintenance are gaining traction, particularly in North America, where new industry standards are pushing AI-driven approaches to the forefront. At the heart of this evolution is the need for standardised data. Without it, fleets rely on inconsistent or proprietary codes to track service intervals, making it almost impossible to train AI models at scale or share insights across systems.

Philipp Pfister, Transporeon

New frameworks like the Vehicle Maintenance Reporting Standards (VMRS), developed through the American Trucking Association’s Technology and Maintenance Council, are changing that. By creating a universal language for tracking maintenance items, they lay the foundation for adaptive, AI-powered decisions, such as when to change oil based on real-world engine load and usage, not arbitrary intervals.

While VMRS is a strong step forward in North America, there’s still a long way to go globally, where much of today’s maintenance data remains fragmented. To unlock AI’s full potential, the industry needs a shared data foundation: code key standards that act as a common language across fleets, platforms and regions. Some platforms are already building toward that future by developing open, interoperable data models designed for global adoption.

The impact is tangible. AI can identify the ‘sweet spot’ for servicing, reducing waste from premature oil changes while avoiding unnecessary wear and tear. Today, maintenance often relies on a dashboard light, but AI enables a future where the vehicle doesn’t just alert the driver. It books its own appointment, sends performance data to a third party and rolls into the shop at exactly the right moment.

Optimising operations for fewer empty miles

Beyond the vehicle itself, AI is transforming how freight is planned, routed and executed. One of the biggest challenges in logistics today is empty mileage: trucks that travel without cargo, burning fuel and time. While some inefficiencies are structural — rooted in geography or how the freight network is organised — many can be addressed with the right technology. AI-powered systems now analyse real-time and historical data to recommend the most efficient routes, plan multi-stop loads and continuously recalculate in transit to adapt to delays, traffic or weather.

AI in load planning, procurement and visibility

Cloud-based platforms are already putting these capabilities into practice, using AI to dynamically match loads with carriers and minimise waiting times at docks. They’re also reducing the strain of just-in-time logistics, where tight delivery windows leave little room for error. Autonomous procurement tools can now handle transport sourcing with minimal human input, using statistical and symbolic AI to analyse unstructured requests, identify suitable partners and select the best fit across time, cost and environmental criteria. Combined with intelligent load planning tools that maximise truck space and reduce the total number of journeys required, these systems help cut emissions across every kilometre travelled.

The future is collaborative and AI-enabled

When applied across maintenance, execution and operational processes, AI can help drive significant sustainability gains in the logistics sector. While AI does consume considerable energy, particularly in generative AI (GenAI) models, the types of applications used in transportation and logistics are far less compute-intensive. The efficiency gains and emissions reductions they enable usually outweigh their footprint. It’s the net effect that matters. And in this context, AI is already showing transformative potential in building a more sustainable future for the industry.

However, sustainability in logistics depends on shared data, interoperable systems and collaboration between carriers, shippers, OEMs and tech providers. Whether it’s maintenance schedules or routing algorithms, AI only works when it can access reliable data and apply it across a broad enough sample to generate meaningful insights. That’s why standardisation is so important. We’re not just building tools. We’re shaping a smarter ecosystem, one where every decision, whether on the road or in the yard, contributes to a more efficient and sustainable whole. AI won’t transform logistics in a single leap. But by focusing on the fundamentals, it’s already reshaping how goods move, how fleets are managed and how sustainability goals are met. Because when the industry moves together, we lay the groundwork for a cleaner, more resilient future.

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Limited visibility with Blind warehouses

Blind warehouses are characterised by limited visibility into operations. Inventory counts may be outdated, workflows are manual, and decisions rely on human guesswork or historical trends rather than real-time insights. Why Blind warehouses fall behind:

Inventory inaccuracies: 46% of small to medium sized warehouses report that inaccurate inventory counts cause major fulfilment delays.
Lost productivity: Employees spend unnecessary hours locating stock or manually inputting data.
Delayed decisions: Without a clear operational picture, response times to disruptions are slow.
Cost inefficiencies: Overstocking or stockouts often occur due to poor forecasting and limited data.
Fragmented data: Warehouses often gather data in pieces, leading to disconnected insights that fail to represent the full picture.

The reality is clear: a lack of visibility is no longer sustainable. As customer expectations around speed and accuracy rise, blind decision-making becomes a liability.

What does it mean to become an Observable warehouse?

An Observable warehouse collects and records real-time data from all parts of its operations. This includes: Inventory movement and placement; Autonomous robot paths and performance; Warehouse environmental conditions; Inbound/outbound logistics and cycle times; Labour allocation and productivity.

Being observable doesn’t require full automation overnight. It means implementing systems that can provide visibility through sensors, IoT devices, AMRs (Autonomous Mobile Robots), computer vision, or digital twin platforms. For example, Ziegler selected Dexory to provide a scalable, reliable solution capable of operating seamlessly within the warehouse’s existing infrastructure. The deployment of DexoryView has delivered rapid and measurable value for Ziegler’s UK operations, including:

Faster stock recovery and fewer errors: The team is now able to quickly locate missing pallets, detect mispicks early, and address labelling or placement errors in real time – without halting operations. End of costly shutdowns for stock takes: Where full stock takes once required four days and weekend shifts, inventory is now continuously monitored – eliminating the need for disruptive audits and manual reconciliations.

‍The benefits of visibility

Becoming an Observable warehouse is the foundation for all other advancements. Here are several benefits:

Faster, smarter decisions: Managers gain immediate insights to prioritise tasks or reroute workflows.
Increased productivity: Time spent searching, scanning, and checking can be replaced with actionable data.
Reduced waste and errors: Real-time data reduces the risk of duplication, overstocking, or misplaced inventory.
Foundation for AI and automation: Visibility enables the implementation of intelligent systems that require real-time data to operate effectively.

For example, DCL Logistics has realized significant operational gains since deploying DexoryView:

14% increase in pallet location accuracy: With more precise data, the company has improved inventory reliability, reducing errors and improving fulfillment speed.
10x faster inventory counting: Compared to previously trialled drone-based systems, DexoryView delivers a tenfold increase in the speed of inventory counts – without disruption or downtime.
16 hours of labour saved per day: Eliminating manual inventory checks has freed up staff to focus on high-value strategic initiatives, such as warehouse space optimization and customized projects for clients.

Industry trends driving the need for observability

A few big changes in the industry are driving the move toward more Observable warehouses:

E-commerce growth: Faster delivery expectations mean warehouses must be more agile.
Labour shortages: Observable warehouses help optimise limited human resources.
Supply chain volatility: Data visibility enables real-time responsiveness.

According to a 2025 McKinsey report, companies that invested in real-time warehouse visibility were 33% more likely to exceed customer expectations and reduce fulfilment costs.

‍Don’t let lack of visibility hold you back

Warehouses can no longer afford to operate without clarity. The first step toward transformation is simple: see clearly. When you do, every other improvement becomes not just possible, but inevitable. Dexory is already helping warehouses across industries make this critical shift. The journey from blind to observable isn’t just a technology upgrade – it’s a mindset shift toward continuous improvement.

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Using AI-powered insights, Kallikor’s Adaption platform models and simulates complex operational scenarios to enable businesses to adopt new technologies and rehearse the transformation of their supply chains, so they can implement change and optimise their operations with confidence.

Using the Adaption platform, Morrisons is creating a comprehensive digital twin of its end-to-end supply chain, a fully interactive model that mirrors the complexity, scale, and pace of its national network. This transformational capability provides a powerful design space where Morrisons’ teams can experiment, test, and optimise decisions with unprecedented speed and precision, from warehouse operations to network-wide flows. More than a model, it becomes the environment where supply chain reality and strategic intent meet, aligning decisions, testing trade-offs, and unlocking gains in efficiency, resilience, and customer responsiveness.

As the partnership scales, Morrisons will operate with a living digital model fully integrated into its day-to-day operations, enabling continuous optimisation and proactive adaptation to market shifts. This strategic collaboration will position Morrisons at the forefront of supply chain innovation, enabling the delivery of sustained growth, operational excellence, and market-leading customer experiences through faster, smarter, and more agile decision-making across its business.

Ross Eggleton, Group Director: Logistics, Supply Chain & Technology at Morrisons, said: “Partnering with Kallikor will help us make better decisions faster. By using AI to bring the real and synthetic worlds together, we can design and evaluate changes across our entire supply chain. That means we can move quickly, solve the right problems, and ensure that every supply chain decision supports the bigger picture, delivering greater value and availability for customers while improving our efficiency and resilience.”

Jonathan Barrett, Kallikor

Jonathan Barrett (pictured, above), Kallikor CEO, said: “We’re witnessing a fundamental shift in supply chain strategy. Organisations that can redesign their networks dynamically, test multiple scenarios, and make evidence-backed decisions at speed will define tomorrow’s competitive landscape. This partnership positions Morrisons to turn market volatility into a competitive advantage through faster delivery, optimised cost structures, and complete alignment between operational execution and strategic vision.”

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With many school leavers fresh on the jobs market, the cross-border e-commerce and logistics company has announced that it will increase its number of apprentices to ten in the UK by 2030.

Despite investing in comprehensive AI and technical upskilling for existing talent, the recruitment drive for those starting out demonstrates the company’s commitment to the creative problem solving that it is famed for across the world.

Hiring New Talent

With recent Manpower figures showing that 76% of UK employers seeking talent in transport, logistics and automotive are facing skills shortages, Spring GDS, which has high employee satisfaction ratings across Europe is seeking to train and develop its own.

Kelly van der Weg, Managing Director of Spring Global Delivery Solutions UK said: “In these unusual times, the UK has the potential to become a still more important hub for international e-commerce providers seeking routes into Europe and the USA. Yet, behind every delivery there needs to be a team empowered by a culture of innovation, agility, and customer obsession.

“Rather than being held back by skills shortages, our ambition remains to attract, train and retain the best talent in logistics in the UK across the world. That means we need to engage talent at an early stage in their career, investing in international talent programmes, sharing knowledge and creating interconnectivity across markets. Empowering staff with technology but also listening to their new perspectives and creative solutions to help us make a difference on a global scale.”

The company has already reinforced its sales, marketing and business development with three new hires in recent months and three additional vacancies across its operations to fill.

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76% of respondents to a recent survey said that they either use, or had used, several different programmes to manage their logistics or supply chain fleets. The same respondents were also unequivocal in their opinion: they would prefer to use just one, unified system. The same research found that almost 70% of those questioned agreed with the statement: “Relying on several different systems makes my job more complex than it needs to be”.

One such logistics firm that was using several different platforms to manage their fleet’s complex operations was Europa Worldwide Group. The company has 1,300 employees working from 26+ locations around the globe, with its European operation of 30 HGVs and 500 trailers visits 10,000 delivery locations, resulting in up to 2,400 deliveries per day. In 2024 alone, their drivers travelled almost 1.8m miles.

Each element of Europa’s tracking was hosted on a different platform, some of which were manual and needed to be brought together. Unsafe driving cost the company £238,000 in at-fault accident pay outs in 2023, and idling was revealed to have cost £900 per month in January 2024 with fuel efficiency at 10.77mpg. Around 90% of their drivers were in the ‘High’ or ‘Very High risk’ category of driver performance.

Implementation of a unified system has allowed Europa to analyse route performance and full shipment tracking – including proof of delivery – all within the same interface.

Using their fully integrated telematics platform, Europa have significantly improved driver safety with 99% of their drivers now in the ‘Low’ or ‘Very Low risk’ category. The cost of at-fault accident pay-outs has decreased by more than 65%, as per-truck accident costs went down from £375 to £225 post implementation. Idling now costs £650 per month less than before and fuel consumption is up to 12.05mpg.

“We have faith in a system that is multi-faceted. Our drivers are doing their jobs to far higher standards and the margin for error from manually plotting MOTs and services is eliminated. We can make the daily walkaround checks focus on the elements we choose and filter those that need rectifying. We would highly recommend a unified platform,” said Europa’s General Manager for Transport, Malcolm Castle.

Nadeem Raza, Microlise’s CEO, commented: “Europa’s success shows just how powerful a unified fleet management platform can be. As the logistics industry grows and pressures mount, businesses need smarter tools that can keep up. A single, integrated system doesn’t just streamline operations, it lifts a huge weight off transport managers, helping to improve job satisfaction and reduce burnout. The companies that thrive will be the ones acting now to support their teams and stay ahead of rising demands.”

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As the industry battles with high turnover and an ageing workforce, the physical demands placed on employees are drawing increased scrutiny. The latest government data shows nearly 40% of UK logistics businesses are struggling to fill vacancies. While automation garners attention, many warehouses still rely heavily on manual processes – and it’s here that equipment upgrades can have the most immediate impact.

“Better conditions start with better equipment,” says Phil Chesworth, Managing Director at Pallet Trucks UK. “If you’re asking someone to lift, push, and transport heavy loads all day, you have a duty to ensure they’re using tools that minimise strain and reduce injury risk. It’s a matter respect, efficiency, and staff wellbeing.”

The company has seen growing demand for ergonomically designed pallet trucks and scissor lift tables that reduce physical stress on workers. These pallets not only help to avoid workplace injuries – a leading cause of absence in logistics – but can also serve as a valuable retention tool.

According to the British Safety Council, musculoskeletal injuries remain one of the most common reasons for long-term sickness among warehouse staff. Providing safer, easier-to-use handling solutions shows a tangible investment in the workforce – which can make all the difference in an industry where margins are tight, and staff loyalty is often hard-won.

“As competition for labour intensifies, we’re finding that companies who invest in the wellbeing of their warehouse teams see better morale, fewer injuries, and greater staff retention,” adds Chesworth. “It’s becoming a competitive necessity, particularly for businesses that cannot afford to compete with industry giants when it comes to pay.”

For businesses looking to future-proof their workforce, investing in the right manual handling equipment could just be the smartest move they make in 2025.

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“Transportation is the backbone of supply chains, essential to ensuring goods are delivered on time to meet customer expectations,” commented Bryant Smith, director, Transportation Management Systems (TMS) at Manhattan Associates. “Yet, managing transportation is becoming increasingly complex, pressured by demands on shorter fulfilment times, capacity and cost efficiencies, tighter sustainability regulations and the growing necessity for access to end-to-end visibility across all operations,” Smith added.

Fragmented systems: operational visibility and efficiency still challenging

The true value of visibility extends beyond simply accessing operational data: it lies in the ability to address issues highlighted by this information and action operational improvements more quickly and efficiently. Beyond disruptions however, 60% of organisations say that enhancing visibility leads to greater customer satisfaction, through more accurate and timely updates, while 50% cite reductions in transportation costs as a key benefit increased operational visibility.

The AI revolution: excitement but readiness challenges

61% of organisations anticipate fully autonomous Agentic AI, capable of acting independently to achieve specific goals within the next five years, however, only 37% have deeply integrated AI and machine learning in their TMS today.

While many might view five years in the AI space like an eon, the gap between future expectations and current usage is noteworthy given adoption is rarely straightforward: although almost half (48%) said that they already feel very prepared for autonomous agents by 2030, practically every organisation (99%) reported facing, or expecting to face, hurdles, with concerns including skill shortages (49%), integration difficulties (44%) and data quality and availability issues (44%).

With many organisations seemingly well-placed to take advantage of the cost, efficiency and scalability gains afforded by autonomous agents, those organisations on the other side need to rethink their AI strategies otherwise they risk losing significant (and possibly irretrievable) market share to rivals.

Sustainability compliance: a priority and significant pain point

The push for more sustainable transportation is widespread. 69% of organisations say sustainability is either a global mandate or an area of significant pressure, with 62% already implementing Corporate Sustainability Reporting Directive reporting. Navigating complex and shifting compliance requirements remains a global challenge, with sustainability compliance most frequently cited as a constraint expected to impact organisational performance over the next five years. A modern TMS can help to deliver the data visibility and functionality needed to measure progress and demonstrate compliance, vital to ensuring sustainability remains at the forefront of organisational thinking.

Smith summarised: “Modern transportation management demands organisations balance a range of competing priorities and the research clearly illustrates many organisations are still unprepared to meet the challenges of evolving sustainability mandates, expectations around AI and the need for more visible, actionable data insights. Looking ahead to 2030, these demands will intensify, increasing the pressure on organisations to operate transportation operations in smarter more intuitive ways.

“87% of respondents anticipate that challenges in areas such as operational visibility, AI adoption and sustainability compliance will intensify, leaving their current Transportation Management Systems struggling to keep pace. Failure to act now will expose organisations to rising costs, questions over long-term efficacy and the risk of falling short of customer promises,” Smith finished.

Additional stats:
• 48% of organisations spend more than 10% of their transportation logistics budget on errors and disruptions
• 78% view transportation management as a strategic imperative for success and this figure rises to 86% by 2030
• 61% are anticipating fully autonomous Agentic AI, capable of acting independently to achieve specific goals, or minimal human oversight within the next five years for TMS
• 50% report challenges in proactively rerouting shipments, while 49% struggle with optimising dock and warehouse labour scheduling
• 82% express strong confidence that advances in planning, forecasting and modelling will reduce freight costs by at least 5% within the next five years.
• Organisations are still struggling to operationalise sustainability: only 34% say they’ve factored sustainability into operational planning, 30% into procurement decisions and just 31% offer carbon-friendly fuel solutions.
• While a majority have integrated their TMS with Sales and Operations Planning systems (60%) and are utilising predictive analytics or AI (56%), far fewer are capitalising on key enablers such as historical trend analysis (38%), automated booking and tendering (36%), or real-time demand sensing (35%).

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How is the maritime sector navigating the twin pressures of decarbonisation and digitalisation? What role do regulation, education, and innovation play in steering global shipping toward a greener future?

In this edition of Logistics Business Conversations, host Peter MacLeod, editor of Logistics Business Magazine, welcomes Anna Kaparaki – senior solicitor, DBA researcher in maritime decarbonisation, and Course Director for the MSc Sustainable Maritime Operations at Liverpool John Moores University.
Together, they explore the seismic shift taking place across the maritime industry as it races to meet net-zero targets, comply with evolving international regulations, and embrace the circular economy.

In this episode, you’ll discover:

• How emerging technologies like AI, IoT, and digital twins are enabling greener, more efficient maritime operations
• The growing complexity of global and regional sustainability regulations — from IMO frameworks to the EU ETS and FuelEU Maritime
• Why education and training are critical to preparing the next generation of maritime professionals
• Real-world decarbonisation case studies, from wind-assisted propulsion to methanol-fueled container ships
• Strategies for implementing circular economy principles and sustainable ship recycling
• The impact of international maritime law and insurance on green compliance
• Career opportunities in ESG compliance, green finance, and maritime sustainability management
• The role of ports, intermodal systems, and digital platforms in building more resilient, lower-carbon supply chains

As Anna says, “Technology alone won’t solve these challenges. We need professionals who can integrate technical, legal and commercial knowledge to lead maritime’s sustainable transition.”
Whether you’re a maritime professional, policy expert, student, or logistics leader, this conversation offers practical insights into the challenges and opportunities shaping the shipping industry’s net-zero journey.

Listen now: Logistics Business Conversations – The Logistics Podcast

This episode is in partnership with Lloyd’s Maritime Academy and Liverpool John Moores University

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