Deloitte found that 30% of retailers surveyed use AI for supply chain visibility, expected to rise to 41% within a year, with 59% of executives anticipating positive return on investment from supply chain initiatives within 12 months.
That investment is aimed at a specific failure. Logistics plans are built once and executed against conditions that have already moved. What follows is why the overnight cycle stopped working, what adaptive planning actually requires, and how it differs from replanning more often.
What logistics planning is for
Logistics planning allocates finite resources, meaning vehicles, dock slots, staff hours, and capacity, against demand that is only partly known at the moment of allocation.
The difficulty is entirely in that last clause. Planning is not hard when demand is known. It is hard because the allocation must be made before the demand is complete, which means every plan contains an assumption about what has not arrived yet.
MIXMOVE frames the consequence directly. A plan is a forecast wearing operational clothing. It is correct at the moment it is finished and begins decaying immediately, and the only question that matters is what happens to the network as the decay sets in.
Why the overnight cycle became standard
Overnight planning suited the conditions it was built for. Orders arrived through the day, closed at a cut-off, and were planned as a complete set. Execution followed the next day against demand that was already known.
The batch was not a limitation. It was an accurate reflection of how demand arrived, and it produced plans that held for the duration of the day they covered.
What broke the cycle
Demand stopped closing. Orders now arrive continuously, including after the plan is fixed, which means the plan is incomplete before execution starts rather than after.
Windows compressed. A plan that is wrong by mid-morning used to be recoverable within the day. With tighter commitments there is no recovery time left.
Buffers were removed for cost reasons. Buffers were what absorbed the difference between the plan and the day. Without them the difference converts directly into dwell, rework, and missed commitments.
The four limits of point-to-point planning
Each movement is planned in isolation. Two consignments travelling towards the same area on the same morning are two separate plans, and the consolidation opportunity between them is never evaluated.
Capacity is committed before demand is complete. A vehicle assigned early is unavailable for freight that arrives later, even where the later freight is more urgent or more profitable.
Disruption has no route back into the plan. A delay is absorbed by the individual movement it affects, and the rest of the network continues executing a plan that no longer reflects reality.
Utilisation is invisible at the point of decision. The planner sees whether the movement is scheduled, not whether the vehicle is full. Both look identical in a plan.
The difference between replanning and adapting
This distinction decides whether an investment in planning technology pays back.
Replanning produces a new plan more often. It is an improvement on planning once, and it retains the same structure, which is a complete allocation calculated centrally and then executed. Each cycle is expensive to compute and disruptive to communicate, so cycles stay infrequent, and the plan is still stale between them.
Adapting changes individual decisions as conditions change, without recalculating the whole. A single consignment is reallocated, a single release is held, a single load is rebuilt. The rest of the network continues undisturbed.
Operations that buy faster replanning frequently find the constraint has moved rather than gone. The instruction still has to reach the dock in time to matter.
The five properties of adaptive planning
Item-level state. The plan must know what is physically present, not what was expected. Consignment-level records are too coarse to reallocate against.
Commitment awareness. Every unit needs a known delivery obligation, so the latest safe decision point can be calculated rather than guessed.
Live capacity at every node. Reallocation without downstream capacity awareness moves congestion instead of removing it.
Instruction delivery at the point of work. A decision that does not reach the dock team before the freight moves has changed nothing.
Reversibility. Conditions continue changing after a decision is made. Adaptive planning requires that decisions can be unwound within the operating window.
What it costs to get this wrong
McKinsey research into mid-mile and last-mile handovers found that waste created at blind handoffs between shippers, dispatchers, third-party logistics providers, and carriers accounts for between 6% and 13% of carrier revenue, with dwell time named as a leading driver.
Dwell is what a stale plan looks like on a dock. A vehicle waiting is a vehicle whose instruction no longer matches the conditions it arrived into.
What the evidence shows
Deloitte reports that 30% of retailers surveyed use AI for supply chain visibility, expected to reach 41% within a year, with 59% anticipating positive return on investment within 12 months, and 66% planning supply chain restructuring if input costs rise.
McKinsey attributes between 6% and 13% of carrier revenue to waste at handover points.
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.
Across MIXMOVE deployments, hub operations have recorded dwell time reductions of 40%, fill rate improvements of 10% to 20%, up to 130% higher warehouse hub throughput, up to 80% fewer errors, and up to 58% labour cost savings. The platform is in use across 35+ distribution companies in 20+ countries.
At 3M, a decade of collaboration produced a 90% truck fill rate, a 35% reduction in transport costs, and a 50% reduction in CO₂ emissions.
“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 HUB OS keeps the plan current
MIXMOVE HUB OS holds the state a plan decays away from. Freight is identified at item level as it arrives and matched against live outbound commitments, so the network knows what is physically present rather than what was expected.
Decisions are made per shipment rather than per plan cycle. A consignment is cross-docked, split, pooled, or held according to conditions at that moment, and the rest of the network is unaffected. That is adaptation rather than replanning, and it is why the response can happen in minutes.
Instructions surface at the point of work, which closes the gap where faster planning usually stops paying back. Recorded dwell reductions of 40% come from vehicles receiving current instructions rather than waiting for a decision made overnight.
For network-level modelling and scenario testing, the digital twin approach is covered separately in the digital supply chain twin article, which this piece links to rather than restates.
MIXMOVE HUB OS operates alongside an existing TMS, WMS, or ERP as an orchestration layer, or as a standalone platform.
MIXMOVE DI reports what the network actually did, including utilisation per leg and dwell by site, alongside Scope 3 transport reporting built to ISO 14083 methodology.
A plan is accurate once and wrong thereafter. Planning faster shortens the gap without closing it. Operations that decide per shipment stop executing yesterday’s assumptions.
Read the MIXMOVE HUB OS overview to see how allocation decisions are made per shipment against live network state.
Frequently asked questions
What is logistics planning?
The allocation of finite resources, including vehicles, dock slots, staff hours, and capacity, against demand that is only partly known at the moment the allocation is made.
Why does overnight logistics planning no longer work?
Because orders now arrive continuously, including after the plan is fixed, and delivery windows have compressed to the point where there is no recovery time left within the day.
What is the difference between replanning and adaptive planning?
Replanning recalculates the whole allocation more often. Adaptive planning changes individual decisions as conditions change, leaving the rest of the network undisturbed, which is faster and less disruptive to execute.
What does adaptive planning require?
Item-level knowledge of what is physically present, a known delivery commitment per unit, live capacity at every node, instructions that reach the point of work, and the ability to reverse a decision inside the operating window.
