Transport and logistics companies already generate huge volumes of environmental data through fuel cards, fleet systems, utility bills, warehouse operations, subcontractors and delivery records. The challenge is connecting that information so it can help control costs, improve operations and calculate emissions accurately.
This matters because emissions in logistics come from several parts of the business at once. Fleet fuel consumption, warehouse energy, outsourced transport and last-mile delivery can all affect the final footprint.
If these datasets stay separated, teams end up rebuilding the same information for customer requests, carbon calculations and external requirements.
A data platform provides a different model. Environmental data is structured once and can then support emissions analysis, customer requirements, reporting, savings and operational decisions.
Why environmental data matters for transport and logistics
Transport operators manage complex networks across road, rail, maritime and air freight.
Each mode has different fuel sources, operating conditions, cost structures and emissions profiles.
That creates a data problem before it creates a reporting problem.
A logistics company may need to combine:
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Fuel-card information.
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Vehicle mileage.
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Shipment weight.
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Route information.
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Warehouse electricity.
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Refrigeration consumption.
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Subcontractor activity.
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Supplier data.
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Customer-level transport records.
When this information is connected, companies can understand both emissions and operational performance.
For example, fuel consumption affects a carbon footprint, but it also affects route profitability and fleet costs.
Warehouse electricity can support emissions calculations while also showing where energy-efficiency investments may have the strongest financial return.
This is why environmental data should not sit in a separate sustainability process.
It is operational business data.
Fleet emissions across transport modes
Road transport is often one of the largest direct emission sources for logistics operators with owned fleets.
Diesel consumption varies according to vehicle type, age, distance, load factor, route profile and driver behaviour.
That makes simple averages less useful than structured fleet-level data.
A company that connects fuel consumption with routes and loads can identify which operations generate both high emissions and high costs.
Maritime transport
Shipping has a different emissions profile.
Fuel choice, vessel efficiency, distance and cargo utilization all affect emissions.
The International Maritime Organization’s current strategy aims for international shipping to reach net-zero greenhouse gas emissions by or around 2050.
It also includes indicative checkpoints of at least a 20% reduction in total annual GHG emissions by 2030, striving for 30%, and at least 70% by 2040, striving for 80%, compared with 2008.
For logistics businesses using maritime freight, that makes accurate shipment and carrier information increasingly useful for both emissions analysis and supplier decisions.
Rail freight
Rail generally offers a lower-emission option than road or air for many freight movements.
However, the result depends on factors such as electrification, electricity mix, locomotive type and route.
Companies therefore need activity-specific data rather than assuming that every rail shipment has the same emissions intensity.
Air freight
Air freight generally has a much higher emissions intensity than maritime or rail transport.
For companies that depend on expedited shipments, air freight can therefore have an outsized impact on the logistics footprint even when it represents a relatively small share of total freight volume.
This creates an operational opportunity.
Better inventory planning and fewer emergency shipments can potentially reduce both freight expenditure and emissions.
Warehouse and terminal energy consumption
Warehouses and logistics terminals consume energy through lighting, heating, cooling, refrigeration, automated sorting and material-handling equipment.
Cold-chain facilities can be particularly energy intensive because temperature controls operate continuously.
Again, the same data serves more than one purpose.
Electricity consumption can be used to calculate Scope 2 emissions.
Finance can use it to monitor energy costs.
Operations can compare consumption between sites.
Facility managers can use it to evaluate investments in lighting, insulation, solar generation, heat pumps or refrigeration systems.
The value comes from keeping the information in one traceable data structure instead of recreating it for each team.
Last-mile delivery
Last-mile operations create a different set of challenges.
Urban congestion, failed deliveries, low load factors and multiple delivery windows can increase both cost per parcel and emissions.
That makes operational information particularly important.
Useful data can include:
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Distance travelled.
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Number of stops.
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Failed deliveries.
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Vehicle type.
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Parcel volume.
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Load factor.
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Delivery windows.
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Energy or fuel use.
Connecting these metrics makes it easier to identify where route changes or alternative delivery models could improve efficiency.
Upstream supply chain and purchased transport
For logistics companies that outsource significant transport capacity, a large share of emissions may sit outside their owned operations.
This means subcontractor information becomes critical.
Companies may need fuel consumption, distance, transport mode, shipment mass or emissions information from carriers and logistics partners.
The problem is that suppliers often provide that information in different formats.
A data platform should therefore make it possible to collect, standardize and trace supplier environmental data without maintaining a separate spreadsheet for every carrier.
Standards for calculating logistics emissions
Consistent methodology matters because transport emissions can be calculated in several ways.
Two important references are ISO 14083 and the GLEC Framework.
GLEC Framework and ISO 14083
ISO 14083:2023 establishes a common methodology for quantifying and reporting greenhouse gas emissions from passenger and freight transport-chain operations.
The GLEC Framework developed by Smart Freight Centre provides practical logistics-emissions guidance aligned with ISO 14083 and the GHG Protocol.
The current GLEC Framework v3.2 continues that alignment and is designed for shippers, carriers and logistics service providers operating across multimodal supply chains.
This helps companies calculate emissions using consistent rules across road, rail, maritime, air and logistics sites.
The value goes beyond producing a final emissions number.
Standardized methodology makes results easier to compare across:
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Routes.
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Transport modes.
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Carriers.
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Customers.
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Business units.
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Reporting periods.
That makes logistics emissions data more useful for procurement and operational decisions.
EU ETS and transport regulation
European transport regulation continues to influence logistics costs and data requirements.
Maritime transport
Maritime transport has been included in the EU Emissions Trading System since 2024.
The system covers 100% of emissions from voyages between EU ports and emissions within EU ports, together with 50% of emissions from voyages between EU and non-EU ports.
Methane and nitrous oxide are also included from 2026.
Shipping companies surrender allowances through a phased approach: 70% of emissions reported for 2025 are covered by the 2026 surrender obligation, with 100% applying for emissions reported from 2026 onwards.
For logistics buyers, carbon costs associated with shipping can therefore increasingly influence transport procurement and route decisions.
Road transport and ETS2
The EU’s separate ETS2 system covers buildings, road transport and additional sectors.
Following changes adopted in 2026, ETS2 is scheduled to become fully operational in 2028, while auctions of allowances are set to begin in January 2027.
This reinforces the importance of fuel and cost data for road-based logistics operations.
Companies that already connect fuel consumption, distance and operational performance will be better positioned to understand how carbon-related costs affect different routes and fleets.
Heavy-duty vehicle standards
EU rules also continue to push down CO2 emissions from new heavy-duty vehicles.
The current framework includes increasingly strict targets through 2040, although targeted flexibility was introduced in 2026 for how manufacturers can use emission credits around the 2030 requirements.
For logistics operators, the practical decision is not simply whether a vehicle is lower-emission.
Fleet investments should consider:
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Acquisition cost.
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Energy or fuel cost.
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Maintenance.
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Charging infrastructure.
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Route suitability.
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Vehicle utilization.
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Expected regulatory costs.
Environmental data and financial data therefore need to be evaluated together.
CSRD requirements for logistics companies
The CSRD has also changed significantly.
Following Directive (EU) 2026/470, the general EU scope focuses on companies exceeding both:
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€450 million in net turnover.
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An average of 1,000 employees during the financial year.
The thresholds can also apply at consolidated group level.
For logistics companies that remain within scope, relevant environmental topics may include climate change, pollution and impacts associated with infrastructure.
Depending on materiality, information may cover:
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Scope 1, 2 and 3 emissions.
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Fleet energy use.
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Transport subcontractors.
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Transition plans.
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Air pollutants.
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Warehouse and terminal energy.
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Climate risks affecting infrastructure or routes.
But CSRD should be treated as an output from structured information.
The same fuel, energy, supplier and transport data can also help identify costs and operational improvements.
Companies can review the broader requirements in Dcycle’sCSRD resource collection.
Logistics companies outside CSRD scope still receive data requests
Falling outside CSRD scope does not mean customers stop asking questions.
Large shippers may still need emissions information from logistics providers to understand their own Scope 3 footprint.
Procurement teams may also use emissions intensity when evaluating carriers.
A logistics provider with structured information can answer these requests much more efficiently than one that has to reconstruct every shipment or fuel record manually.
The commercial value is simple.
If two carriers offer similar price and service quality, the provider that can also deliver reliable shipment-level environmental information may be easier for a large customer to work with.
Practical strategies to reduce logistics emissions and costs
Environmental data becomes useful when it supports action.
For transport companies, many emissions-reduction measures also have direct operational or financial benefits.
Fleet electrification and alternative energy
Battery-electric vehicles are becoming increasingly relevant for urban and regional routes where vehicle range and charging patterns are predictable.
Other fuels and technologies may play roles in operations where direct electrification remains difficult.
The right choice depends on the route.
A vehicle that works well for urban deliveries may not be suitable for long-haul freight.
Companies should therefore evaluate fleet transitions using total cost of ownership rather than purchase price alone.
The analysis can include:
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Purchase or lease costs.
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Electricity or fuel.
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Maintenance.
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Charging infrastructure.
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Mileage.
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Payload.
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Vehicle utilization.
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Expected useful life.
This creates a stronger investment case than evaluating emissions in isolation.
Route optimization and load efficiency
Route efficiency can reduce both fuel use and operating costs.
The biggest opportunities often come from:
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Reducing empty kilometres.
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Improving vehicle utilization.
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Consolidating loads.
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Avoiding unnecessary detours.
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Improving delivery scheduling.
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Reducing failed deliveries.
The important part is measurement.
Companies need route, distance, fuel and shipment information to determine whether an optimization actually produced savings.
Intermodal transport
Moving suitable parts of a freight journey from road to rail or inland waterways can significantly reduce transport emissions.
The financial result depends on the specific corridor, handling requirements, transit time and shipment volume.
Environmental data allows companies to compare modes using the same methodology.
Operational teams can then evaluate trade-offs between:
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Cost.
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Transit time.
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Reliability.
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Capacity.
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Emissions.
That turns emissions information into another input for logistics planning rather than a separate sustainability KPI.
Warehouse and terminal efficiency
Facility efficiency can generate some of the clearest links between environmental performance and savings.
Measures may include:
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LED lighting.
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Building-management systems.
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Improved insulation.
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Solar installations.
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Heat pumps.
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More efficient refrigeration.
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Energy recovery.
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Better operating schedules.
Carbon footprint measurement across multiple sites helps establish a baseline and identify where energy or emissions are concentrated.
But the analysis should not stop at carbon.
Combining consumption with utility costs helps companies identify where efficiency improvements may deliver the strongest financial return.
Last-mile innovation
Last-mile operations offer several opportunities for reducing both cost and emissions.
Depending on the network, these can include:
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Electric delivery vehicles.
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Cargo bikes.
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Parcel lockers.
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Pickup points.
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Micro-consolidation.
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Better delivery slots.
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Route optimization.
The right solution depends on shipment density and local operating conditions.
That is why operational data matters more than adopting the same model everywhere.
How Dcycle supports transport and logistics companies
Transport and logistics companies do not need another isolated reporting tool.
They need a data platform that can connect environmental information across fleets, facilities, suppliers and transport modes.
Dcycle structures that information so the same data can support emissions calculations, customers, cost analysis, reporting, savings and operational decisions.
Automated environmental data collection
Fuel information may come from fleet-management systems.
Electricity can come from utility invoices.
Shipment information may sit in transport-management systems.
Supplier data may arrive from subcontractors.
Dcycle’sautomated data collection helps connect these sources and reduce repeated manual entry.
The objective is to collect the information once and keep it available for different teams.
Multi-modal emissions information
Logistics companies may operate across road, rail, sea and air.
Environmental data needs to preserve enough detail to understand how different modes, routes and customers affect the final footprint.
This information can support ISO 14083-aligned calculations while also helping logistics teams compare operational alternatives.
Supply-chain environmental data
Outsourced transport creates another layer of complexity.
Dcycle helps companies bring supplier and subcontractor information into the same data environment as their owned operations.
This reduces the need to maintain separate datasets for Scope 3, supplier requests and customer questionnaires.
Multiple outputs from the same data
CSRD, customer carbon requests and emissions calculations should not require independent data projects.
Once environmental information is structured, these become different outputs.
The underlying data also remains available to procurement, finance and operations.
Compliance is therefore one possible outcome of the platform rather than its only purpose.
Facility and entity-level analysis
Large logistics networks may operate warehouses, offices and terminals across several locations.
Dcycle’smulti-entity management helps consolidate environmental information while preserving site-level detail.
That makes it possible to compare facilities and identify where energy use, costs or emissions are unusually high.
7 Practical steps to get started
1. Map the environmental data you already have
Identify information from fleets, fuel cards, warehouses, utilities, subcontractors and transport systems.
Document who owns each source.
2. Establish a baseline footprint
Calculate emissions across the transport modes and facilities that materially affect the business.
Use consistent methodologies such as ISO 14083 where appropriate for transport-chain calculations.
3. Connect emissions with costs
Do not maintain separate carbon and financial views where the underlying data is the same.
Fuel, electricity and transport information should help teams understand both environmental performance and operational expenditure.
4. Identify the highest-impact routes and assets
Compare vehicles, transport modes, warehouses and subcontractors.
Look for areas with both high emissions and high operating costs.
These are often the best places to prioritize improvements.
5. Improve supplier data
Define what information you need from transport subcontractors and other suppliers.
Use standardized templates and methodologies so responses can be compared.
6. Evaluate operational alternatives
Test route optimization, fleet changes, intermodal transport and facility improvements using real operational data.
Measure results rather than relying on assumptions.
7. Build a reusable data foundation
Avoid creating another spreadsheet for every customer or regulatory request.
The same environmental data should be reusable across carbon footprints, customer requirements, CSRD where applicable, reporting, savings and operational decisions.
That is the broader opportunity for transport and logistics companies.
The sector already produces the data.
The advantage comes from structuring it once and using it to run the business better.
Conclusion
Transport and logistics sustainability in 2026 is increasingly about better operational data, not simply calculating a carbon footprint. Fuel use, warehouse energy, routes, subcontractors and shipment information can reveal where both emissions and costs are concentrated.
Companies that connect these datasets can make more informed decisions about fleet investments, route optimisation, intermodal transport, supplier selection and facility efficiency. They can also respond faster to customer requests and regulatory requirements without rebuilding the same information each time.
The strongest approach is therefore to treat environmental data as part of everyday logistics management. When emissions, costs and operational performance are analysed together, companies can reduce manual work, identify practical savings and make improvements that support both efficiency and lower emissions.
Frequently asked questions (FAQs)
What are the main emission sources for logistics companies?
Fleet operations (road, maritime, rail, air) typically represent the largest share, with road freight dominating for most companies. Warehouse energy consumption is the second major source. Subcontracted transport and upstream supply chain emissions can account for 30 to 60% of the total footprint under Scope 3.
How does the GLEC Framework differ from the GHG Protocol?
The GHG Protocol provides the overarching framework for corporate emissions accounting (Scopes 1, 2, 3). The GLEC Framework, now ISO 14083, offers logistics-specific calculation methodologies, emission factors, and allocation approaches for multi-modal transport chains. They are complementary: ISO 14083 feeds into GHG Protocol Scope 1 and Scope 3 Category 4 (upstream transport) and Category 9 (downstream transport) reporting.
When does the CSRD apply to transport and logistics companies?
Under the Omnibus I amendments, the CSRD applies to companies with 1,000 or more employees and 450 million euro or more in turnover. Large logistics groups, shipping lines, airlines, and rail freight operators that meet these thresholds must report. Smaller operators face growing indirect pressure from customers who need supply chain carbon data for their own CSRD Scope 3 disclosures.
What is ETS II and how will it affect road transport?
ETS II is the new EU emissions trading system for road transport and buildings, starting in 2027. It will place a carbon price on fuels used in road transport, increasing operating costs for diesel fleets and strengthening the business case for electrification and alternative fuels.
How can logistics companies track emissions across subcontractors?
Effective subcontractor emissions management requires standardized data collection processes, clear contractual requirements for emissions reporting, and technology platforms that can aggregate data from multiple sources. Dcycle’s automated data collection and multi-entity management capabilities are designed for exactly this challenge.