No Structured Planning Step
Cargo assignment to vehicles happened informally, with no consistent way to check capacity or sequencing before loading began.
Every dispatch morning meant someone deciding by memory which cargo went into which vehicle, in what order, and whether the truck would even hold it all. We built a load planning management system MVP from scratch, giving planners a structured way to organize cargo placement, vehicle utilization, capacity and delivery order before a single truck leaves the yard.
When load planning lives in someone's head or a spreadsheet, every dispatch depends on that person being available and remembering the constraints correctly. Vehicles get overloaded, awkward cargo gets loaded in the wrong order, and delivery sequencing becomes a last-minute scramble.
This load planning MVP gives planners a direct, structured view of what cargo is going where: vehicle capacity, weight and space utilization, loading sequence, and delivery order, all worked out before dispatch instead of during it.
Cargo assignment to vehicles happened informally, with no consistent way to check capacity or sequencing before loading began.
Weight and space limits were often only discovered once loading was underway, forcing last-minute re-sorting at the bay.
There was no prior planning tool to iterate on, so the workflow, data model and sequencing logic needed to be defined from zero.
A planning system built around the decisions a dispatcher makes before every vehicle leaves the yard.
Planners assign cargo to specific vehicles with a clear view of what has already been committed to each one.
Running capacity and weight totals stop vehicles from being overloaded before they ever reach the road.
Cargo can be ordered by loading position, so items needed first come off last and awkward loads aren't blocked in.
Planners set the drop-off order for each vehicle, aligning what's loaded with the route it will actually run.
A clear picture of how full each vehicle is helps planners consolidate loads and avoid sending out half-empty trucks.
Last-minute cargo changes can be rebalanced across vehicles without redoing the entire plan from scratch.
We observed how planners actually made cargo and vehicle decisions today, to ground the MVP in real constraints.
We defined how vehicle capacity, weight and loading sequence needed to be represented so the plan stayed realistic.
A focused interface was designed around assigning cargo, checking utilization and setting delivery order.
Our engineers built the system and validated that plans respected capacity and sequencing constraints before dispatch.
The MVP launched with real planners, with the team watching where plans still needed manual correction.
A load plan only earns its place if it's still correct once cargo actually reaches the truck.
A structured model represents each vehicle's capacity alongside the cargo assigned to it for a given dispatch.
Loading and delivery order are tracked together, so the plan reflects how the vehicle will actually be unpacked.
The workspace was designed around how planners think through a load, not around raw database records.
The MVP's architecture leaves room to add route-aware suggestions and automated balancing as usage grows.
× No structured load planning tool existed
× Capacity issues surfaced at the loading bay
× Delivery order wasn't planned in advance
× No dedicated product to build on
✓ MVP launched in approximately six weeks
✓ Cargo assigned to vehicles with capacity checks
✓ Loading and delivery order planned upfront
✓ Vehicle utilization visible before dispatch
Plan the load before the truck arrives, not after.
This planning system did not exist before this engagement — every screen, capacity rule and sequencing decision was designed and built from zero around how a real dispatch operation moves cargo.
“A good load plan is invisible — the truck is never overloaded, nothing blocks the first stop, and no one at the bay has to improvise. Build that certainty in before dispatch, not during it.
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Bring us your dispatch operation and we'll help you scope, design and build a load planning experience that catches capacity problems before the truck is loaded, from the first MVP release onward.
AI-accelerated. Expert-verified. Built around the outcome your first release needs to prove.