McKinsey research conducted with the World Economic Forum found that in a scenario where public and private operators coordinate effectively, delivery emissions and congestion could fall by 30% by 2030 against a do-nothing baseline, while technology could reduce delivery costs by 25% over the same period.
Those two numbers describe one mechanism, not two. Emissions and cost in the last mile are produced by the same thing, which is movement that did not need to happen. What follows is what sustainable last mile delivery actually requires, why the reduction and the saving arrive together, and what it takes to prove either figure to an auditor.
What sustainable last mile delivery means
The European Environment Agency identifies road freight as one of the fastest-growing sources of transport emissions, driven by rising delivery volumes and low vehicle utilisation.
Sustainable last mile delivery is usually defined as reducing the environmental impact of the final delivery leg through fleet electrification, alternative delivery modes, and route optimisation.
MIXMOVE frames it more narrowly. Sustainable last mile delivery is the elimination of movement that carries no load. A half-empty van, a failed first attempt, a redelivery, and a vehicle idling at a dock all produce emissions against zero delivered value. Electrification changes what those movements emit. It does not stop them happening.
How the last mile became the emissions problem
The last mile was originally a rounding error in freight planning. Volume was low, drops were dense, and the leg was short.
Direct-to-consumer growth inverted that. Consignment sizes fell, drop points multiplied, and utilisation collapsed. The same tonnage now moves in far more vehicles across far more stops, and every structural gain made in linehaul is given back at the kerb.
Why the pressure is structural now
Consumer expectation has set the delivery window, and shorter windows reduce the opportunity to consolidate. Speed and utilisation pull in opposite directions.
Labour cost has made failed deliveries materially expensive. A redelivery consumes a full delivery cost against no revenue, and repeats the emissions.
Regulation has turned emissions into a reportable financial line. Under CSRD, Scope 3 transport emissions sit inside statutory disclosure. Under ETS2, road transport fuel carries a direct carbon cost. Emissions are now a figure a finance function has to defend, not a figure a marketing function reports.
Buyers are already restructuring around this. Deloitte found that 66% of retail executives surveyed plan to restructure their supply chains if input costs rise, and that 30% already use AI for supply chain visibility, rising to an expected 41% within a year.
Why reporting platforms do not reduce anything
Most emissions tooling calculates after the fact. It ingests completed movements, applies conversion factors, and produces a figure. The figure is accurate about the past and useless during execution.
Visibility platforms have the same limitation in a different form. They observe the vehicle. They cannot change the load it is carrying or the sequence it is running.
The gap is structural. Emissions are created at the point where load, route, and consolidation are decided, which is upstream of both systems. A platform that reports emissions but cannot influence a consolidation decision is measuring a problem it has no ability to touch.
Five changes that cut emissions and cost together
Raise fill rate before changing the fleet. Every percentage point of unused vehicle capacity is emissions and cost against no delivered value. Consolidation is the highest-return intervention available and it requires no capital expenditure.
Remove the failed first attempt. A failed delivery doubles the emissions and the cost of a single order. Accurate arrival windows and confirmed delivery points remove the repeat trip entirely.
Cut dwell at the dock. Idle vehicle hours produce emissions with no movement. Sequenced arrival and pre-allocated freight release capacity back into the network.
Consolidate at the last hub, not at origin. Consolidating too early forces long detours. Consolidating at the final hub compresses the leg where utilisation is worst.
Capture the emissions record at execution. A figure reconstructed from invoices months later cannot be audited to shipment level. A figure captured as the movement happens can.
The three layers of a defensible emissions figure
Execution data. What physically moved, on which vehicle, at what fill rate, over what distance. Captured at item level rather than estimated from consignment averages.
Methodology. A consistent, recognised calculation framework applied to that data. MIXMOVE DI applies ISO 14083 methodology to structure Scope 3 transport reporting.
Disclosure. The output formatted for the framework that requires it, with the underlying movement record retained so any line can be traced back to a physical event.
What the evidence shows
McKinsey and the World Economic Forum put the coordinated scenario at 30% lower delivery emissions and congestion by 2030, alongside a 25% reduction in delivery cost through technology.
Deloitte reports that 59% of executives surveyed anticipate positive return on investment from supply chain AI initiatives within 12 months.
Across MIXMOVE deployments, operations have recorded up to 130% higher warehouse hub throughput, up to 80% fewer errors, and up to 58% labour cost savings. Fill rate improvements of 10% to 20% and dwell time reductions of 40% have been recorded in hub operations. The platform is in use across 35+ distribution companies in 20+ countries.
At 3M, a decade of collaboration produced a 50% reduction in CO₂ emissions, a 35% reduction in transport costs, and a 90% truck fill rate. The emissions reduction and the cost reduction were produced by the same consolidation work.
“By using the MIXMOVE software, 3M managed to reduce transport costs by 35% and CO₂ emissions by 50%.”
— Patrick Van De Vyver, Former Head of EMEA Logistics Operations, 3M
How MIXMOVE makes the reduction reportable
MIXMOVE HUB OS raises fill rate by matching inbound freight to outbound commitments at item level before loading decisions are made. Consolidation opportunities surface while the freight is still on the dock rather than in a report produced after departure.
MIXMOVE DI takes the resulting execution record and structures it into Scope 3 reporting using ISO 14083 methodology. Because the record is captured at the point of movement, every reported figure traces back to a physical event, which is what CSRD disclosure and ETS2 exposure calculation require.
Both operate alongside an existing TMS, WMS, or ERP as an orchestration layer, or as a standalone platform.
The reduction and the saving come from the same work. Consolidation is the intervention that produces both. Operations that capture the record at execution can prove it.
Read the MIXMOVE DI overview to see how Scope 3 transport reporting is built from execution data rather than estimates.
Frequently asked questions
What is sustainable last mile delivery?
The reduction of environmental impact in the final delivery leg. In practice it means removing movement that carries no delivered value, through higher vehicle fill rates, fewer failed deliveries, less dwell, and better consolidation, alongside fleet and mode changes.
Does sustainable last mile delivery cost more?
Not where the reduction comes from consolidation. Higher fill rates and fewer redeliveries reduce emissions and cost at the same time. Cost increases arise mainly from capital-intensive measures such as fleet replacement, which change what movements emit rather than reducing the number of movements.
What are the most effective practical measures?
Raising vehicle fill rate, eliminating failed first delivery attempts, cutting dock dwell time, consolidating at the final hub rather than at origin, and capturing the emissions record during execution.
How are last mile emissions reported under CSRD?
Transport emissions fall within Scope 3 disclosure. Reports must be traceable to underlying activity data. MIXMOVE DI structures Scope 3 transport reporting to ISO 14083 methodology using execution data captured at the point of movement.
