Driving Energy Efficiency in Conveying

As companies across the globe intensify efforts to reduce carbon emissions, intralogistics operations are coming into sharper focus, writes Sascha Goly, Global Segment Manager Logistics & Sports of Forbo.

While sustainability initiatives have often concentrated on transport and buildings, conveyor systems in warehouses and distribution centres represent a significant, and often underestimated, opportunity for energy savings.

Running continuously and forming the backbone of material flow, they offer clear potential to improve both environmental and operational performance. With increasing pressure from regulatory frameworks and corporate sustainability targets, even incremental efficiency gains are becoming more relevant.

The energy consumption of belt conveyor systems depends on multiple factors, including the design and condition of mechanical and electrical components. Drive systems, control strategies, and maintenance practices all play a role. However, one of the most influential contributors is friction – specifically between the conveyor belt’s underside and the slider bed. In many applications, this contact accounts for a substantial proportion of the total energy required.

Reducing this friction is therefore a direct and effective way to lower energy demand. By optimizing the belt underside, the friction coefficient can be significantly decreased, reducing the required drive power. Importantly, such improvements can typically be implemented without modifying the conveyor system itself. In many cases, replacing belts is sufficient to realize measurable efficiency gains, making this a cost-effective optimization approach for existing installations.

In long conveyor systems or applications with heavy loads – common in large distribution centres – energy savings of up to 50% can be achieved under optimized conditions. At the same time, reduced resistance enables smoother operation and can allow for higher belt speeds, supporting increased throughput. This combination of lower energy consumption and improved performance is particularly relevant in high-volume logistics environments.

Reduce Friction

Under standardized test conditions, the conventional conveyor belts of belting solutions provider Forbo Movement Systems show friction coefficients comparable to those of competitors’ energy-saving belts. This indicates that a relatively high level of efficiency can already be achieved with standard belt designs, providing a solid baseline for further optimization.

For further reduction of friction, technologies such as Texglide are applied on Forbo’s energy-saving belts. Texglide is a compound embedded directly into the underside fabric of the belt, designed to create a smooth, low-resistance surface. As it is integrated into the belt structure, its effect is maintained over time, ensuring consistently low friction between the belt and the slider bed.

Such solutions are already in use in large-scale logistics environments with high throughput requirements, including major e-commerce companies and leading parcel and postal service providers. In these operations, even small efficiency improvements can result in significant energy and cost savings over time.

Lower friction also has secondary technical effects. Reduced resistance can lead to lower heat generation in motors, bearings, and other drive components. This decreases mechanical stress and can contribute to longer service life for key system elements. In turn, maintenance intervals may be extended, and the risk of unplanned downtime reduced. From a total cost of ownership perspective, these factors are highly relevant, particularly in operations that depend on continuous system availability.

In addition, improved efficiency can support higher throughput. Smoother belt operation and the potential for increased speeds allow more goods to be transported within the same timeframe. This is especially important in sectors such as e-commerce and parcel logistics, where throughput requirements continue to rise and system performance directly impacts service levels.

Overall, optimizing conveyor belt friction represents a practical and scalable approach to improving energy efficiency in warehouse and logistics systems. It enables measurable reductions in energy consumption while supporting performance and system longevity – without requiring extensive infrastructure changes.

On Another Level

Warehouses have fixed dimensions and there is pressure to maximise the usable cubic storage space. Adding mezzanine levels can help achieve that. David Priestman speaks to a flooring expert.

“We follow the customers, who are mainly systems integrators,” Bart Pulles, Operations and Sales Manager for MiTek in Germany told me during LogiMAT Stuttgart. Celebrating ten years in the German market this year, MiTek supply steel mezzanines (both hybrid and cold-formed systems), steel platforms and support structures to optimise space, particularly important in the drive to automation in distribution centres.

Mezzanines are an intermediate level between the main floors of a building that are designed to create additional space. While often incorporated as part of the design of a new building, mezzanines can also be added to existing facilities as a cheaper, quicker and less disruptive means of creating more space than modifying the building itself or moving to larger premises.

Pulles tells me that the company is growing and possibly gaining market share, with recent projects in Czechia, Poland, France, Spain, Germany and in the UK, where the firm is headquartered. On average thirty site installations are completed each year, with a 3-4 month project time. Working with the materials handling integrators, such as Witron, Fortna and Viastore, the mezzanines installed always follow competitive tenders.

“Mezzanine floors are very useful for pallet conveyors, where we aim to reduce vibration, as well as for overhead hanging garment systems. Often, we install different mezzanines in different areas of the DC.” Pulles states. “We only do project installations now, with more engineering and added value.”

Cube Storage Base

MiTek work directly with ASRS experts AutoStore, supplying mezzanines under the grid for the picking tunnel. “We know the requirements for an AutoStore installation so we can tell the integrator what is needed,” Pulles says, referring to over twenty such installations which can either feature a triple stack or positioning the ASRS on top of a mezzanine level, with a minimum 2m clearance height on the top of the grid. “We build fire escape routes on top, plus access for maintenance – all the extras and necessities.”

Component Supply Chain

MiTek, being British, has been partly impacted by post-Brexit export red tape, but the company no longer sources all its material from the UK and uses local European suppliers for steel and timber, as well as local project managers.

What about new build DCs with mezzanines compared to retrofitting existing sites to add new floors? “They’re about 50-50 for us,” Pulles (pictured, below) informs me. “In order to re-fit and add space we have to empty that area of the warehouse first. The mezzanines have a 20 year lifespan, but the need for new materials handling equipment usually comes before that time is up.” The company takes care to align levels with existing signs and exit infrastructure when re-fitting. “The steel is all free-standing so it’s possible to take it all down as there’s no concrete.”

On to the Next Level

Probably the largest MiTek mezzanine installation so far was for British retailer NEXT, a complex project totalling 100,000sq.m. and reaching 24m in height with five storeys. Working with integrators Knapp, the MiTek team facilitated the installation of spiral chutes into voids between the floors, engineering special supporting steelwork to help lift in and position the chutes. A key component was the a pallet transfer platform to support conveyors that move pallet loads from the automated store down to operations on the ground floor. This 1800sq.m platform alone featured 400t of steelwork, comprising 3000 beams, 6000 cold-rolled joists and 350 columns.

Humans Still the Integration Layer in Freight Ops

Despite years of investment in digital platforms and AI, freight operations still depend heavily on humans manually connecting disconnected systems, according to a new industry report released by Deep Current, a Germany-based AI company building the pre-operational data flow infrastructure layer for logistics.

“Many logistics organisations continue to operate in environments where workflows are fragmented and require significant ‘human integration layer’ in between more than 5+ systems on average for a typical workflow. Even in 2026, many tech platforms and AI models still depend on this human intervention to deliver results,” said Tamim Fannoush, Founder & CEO, Deep Current AS.

The report, ‘Levers of Digital Sophistication’, examines where logistics AI initiatives continue to break down operationally, despite growing pressure across the industry to scale automation, improve resilience and reduce execution delays.

The study indicates that a large share of the industry still struggles in early stages of operational digitalisation and decision intelligence, where data does not flow seamlessly and automation is not fully embedded into first entry points of data feeding.

Where exactly does the logistics operations break

With more than 24 months of project implementation samples studied, varying across mid and large sized logistics sector implementation, we mapped the hot spots of friction that hinders AI integration. The highest friction remains in data connectivity and workflow integration, where systems are still disconnected and AI operates outside execution.

The report found:
• 61% of logistics teams still depend on emails and spreadsheets for operational communication
• 57% report shipment delays caused by document errors
• Only 29% have implemented digital tools across core operational workflows
• 47% cite legacy system integration as the biggest barrier to adoption

Additional operational analysis conducted by Deep Current also found that more than half of logistics operators still re-enter the same shipment data across multiple systems, while nearly half switch between five or more platforms to complete a single workflow. According to the report, the problem is no longer visibility.

Most logistics organisations can now detect disruptions, delays and shipment exceptions in real time. The larger breakdown is happening at the execution layer, where operational teams still manually interpret, validate and move information across fragmented systems.

This gap between digital ambition and operational reality is where most transformation efforts stall.

The report identifies five operational levers shaping digital sophistication in logistics:
• Integrated digital foundations
• Decision intelligence beyond visibility
• Workflow embedding of AI tools
• Predictive resilience and scenario capability
• Governance, skills and human-AI partnership

Together, they outline how organisations move from fragmented execution to truly integrated, AI-driven workflows. Each lever builds on the last, shifting operations from manual interpretation to structured data, from isolated tools to embedded intelligence, and from reactive processes to scalable, resilient systems.

Deep Current argues that many AI initiatives continue to struggle because intelligence is layered on top of workflows rather than embedded directly inside them.

“As long as AI sits outside operational execution, teams still end up doing the integration work manually,” said Fannoush. “Copy-paste workflows, repeated validation and fragmented communication continue to absorb enormous operational capacity across freight.”

The company positions this challenge as a ‘pre-operational intelligence’ problem, where operational breakdowns often originate before execution even begins, at the point where information is created, shared and interpreted across systems.

Deep Current develops AI systems for logistics operations focused on structuring unstructured operational inputs, validating information across sources and enabling clean data flow across workflows. Its product suite includes tools for demand intake, document validation, data extraction and workflow intelligence.

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