Green Logistics

Efficiency cuts cost and CO₂ at the same time

Every kilometre avoided counts twice: it lowers both cost and emissions. Artificial intelligence finds exactly those kilometres – resource use, profitability and CO₂ are always assessed together.

Guiding principle

Profit and sustainable use of resources

The goal is always the effective and efficient use of resources. Sustainability has long been a core part of logistics and supply chain – but it only sustains itself if it is commercially sound: there is no sustainability without matching profits. Efficiency applies here too. Whatever reduces kilometres, empty runs and standing times lowers cost and emissions in one move.

Efficiency as the lever

Every kilometre saved pays twice: lower cost and lower emissions. Utilisation, stop sequence and avoided empty runs are the most effective levers.

Profitability as the prerequisite

Only a profitable company can invest in modern fleets, alternative drivetrains and better networks. Earnings are therefore the condition for sustainability, not its opposite.

AI as an aid

Artificial intelligence spots patterns that are invisible manually – such as closed round trips or avoidable empty kilometres. It is a tool for better decisions, not an end in itself.

AI in action

AI is the engine, sustainability the result

Artificial intelligence is not a side topic here, it is the core: it detects in real tour data where kilometres, empty runs and standing times arise – making visible exactly the lever that lowers cost and emissions at the same time. Sustainability thus emerges as the result of better decisions, not as a separate programme.

Detect round trips

From completed tours, the AI detects per vehicle which trips belong to one round trip. Closed loops instead of single runs mean fewer empty kilometres.

Make empty runs visible

Repositioning between unloading and the next loading is reported rather than hidden. What gets measured can be reduced.

Sequence tours optimally

Stop sequence and utilisation are optimised on real road kilometres. Every kilometre saved lowers cost and CO₂ in one move.

Context

Sustainability needs numbers, not buzzwords

Green logistics isn't an add-on, it's part of professional management logic. Viable measures only emerge once CO₂ figures are calculated transparently and tied to operational decisions.

CO₂ calculation

Emissions are assessed transparently per transport, lane or scenario.

Measure Comparison

Options such as HVO, intermodal approaches and network optimization are compared systematically.

Management view

Costs, impact, and priorities are translated into a solid decision-making framework.

Green Logistics

CO₂ you can prove

Emissions with provenance — measured, not claimed.

measured estimated · flagged CO₂e · WTW

Provable, not claimed

Method and data source travel with every figure — through to the CSRD report.

Explainer How trips become verifiable CO₂

    Every trip leaves CO₂ behind. The only question is whether you can quantify it — or merely estimate.

    Runs automatically · can be paused at any time
    Twin Transition

    Digitalisation and sustainability belong together

    Sustainability only becomes tangible once you can measure and steer it. Digital tools turn an intention into traceable decisions: they show where kilometres, empty runs and standing times arise, and back the effect of each measure with figures that carry their origin. We take up these themes with our free tools.

    Measure instead of estimate

    Only the measured emission makes progress comparable. The CO₂e calculator quantifies each relation traceably, with method and data source rather than as a buzzword.

    To the CO₂e calculator – open →

    Drive less before CO₂ arises

    The most effective lever lies before the trip: short sequences and avoided empty kilometres. Route optimization cuts exactly the kilometres from which emissions first arise.

    To route optimization – open →

    Make empty runs visible

    What gets measured can be reduced. The empty-run analysis shows avoidable empty kilometres, the silent cost driver that also saves the most CO₂.

    To the empty-run analysis – open →

    Think multimodal

    Rail, water and road planned together: combined transport shifts kilometres onto more efficient modes. The CO₂e calculator compares the modes per leg with evidence.

    Compare modes – open →

    Records that hold up

    Sustainability figures are only worth as much as their records. The document fingerprint secures consignment note, log and proof against unnoticed change.

    To document integrity – open →

    Electromobility with a plan

    Electric vehicles only unfold their advantage with logistics: range, charging stops and tour sequence must fit together. We plan this as a consulting topic, honestly labelled as model values.

    On request – open contact →

    Scientific background

    Documented, not claimed

    Why the same data flow carries AI, BI and auditable CO₂ – with sources.

    Around a fifth runs empty

    21.6 % of EU truck-kilometres ran empty in 2024 – paid for, without cargo. Every avoided empty kilometre cuts cost and CO₂.

    Source: Eurostat (2024)

    Better load factors cut cost and CO₂

    For the ITF/OECD, better load factors are a win-win measure: they cut operating costs and emissions at once – one lever for both.

    Source: ITF / OECD

    Road freight: the largest and growing share

    Heavy goods vehicles cause around a quarter of transport CO₂ – and rising: +29 % from 1990 to 2019. This is where every trip saved has the greatest effect.

    Source: European Environment Agency (EEA)

    Road transport is the biggest lever

    Road transport makes up around 70 % of transport emissions – the biggest lever, per the IPCC. For the 1.5-degree target: −59 % by 2050.

    Source: IPCC (AR6, WG III)

    ISO 14083 makes it auditable

    ISO 14083 (GLEC Framework, successor to EN 16258) ranks measured primary data as the highest evidence quality – exactly what operations produce.

    Source: Smart Freight Centre / ISO

    CSRD requires method instead of estimate

    The CSRD (ESRS E1) requires Scope-3 transport emissions by a primary-data method – not a rough estimate.

    Source: European Commission (CSRD)

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