Logistics & Supply Chain
Fleet utilization, route efficiency, warehouse analytics
Pre-built KPI and process templates for fleet utilization, route efficiency, and warehouse throughput, mapped to common logistics sub-processes -- dispatch, last-mile, returns -- for maturity scoring against vertical-specific evidence.
The patterns that show up again and again in this vertical.
Fleet utilization is reported as a single percentage nobody can decompose into idle, deadhead, and revenue-earning time.
Route planning optimises for distance, while the real cost accumulates after the vehicle arrives -- dwell time, failed deliveries, and re-attempts.
Warehouse performance is measured at the dock but not through pick, pack, and returns, so the internal bottleneck stays invisible.
Dispatch, last-mile, and returns run as separate teams against separate targets that pull against each other.
What the accelerator gives you a head start on.
An accelerator is the same QBPES™ architecture every engagement runs on, shaped for this vertical -- so Discovery starts from a working taxonomy and a defined KPI set rather than a blank page. Each one deepens with every engagement we run in the vertical.
KPI templates for fleet utilization, route efficiency, and warehouse throughput, each decomposed to the sub-process that actually drives the number.
A logistics process taxonomy covering dispatch, line-haul, last-mile, and returns, mapped as one continuous flow rather than four disconnected functions.
Maturity scoring against vertical-specific evidence, so a claim that the capability already exists is tested against artefacts rather than accepted as an assertion.
Exception-handling patterns for the events -- failed delivery, damage, re-route -- that consume a disproportionate share of cost and management attention.
The difference it makes to how the business runs.
Utilization becomes a number you can act on, because it separates the time you are paying for from the time you are earning on.
Cost shows up where it is actually incurred -- at dwell, at re-attempt, at returns -- instead of being smeared across a cost-per-km average.
Handoffs between dispatch, line-haul, and last-mile get an owner and a measurement, so nothing sits in the gap between two teams.
Automation is aimed at the exceptions that eat the day, rather than at the routine movements that already run fine.
Good fit if...
Your cost per delivery is rising and no single report explains why.
Exceptions -- failed deliveries, re-routes, returns -- consume more management time than the core operation.
You have bought a TMS or WMS and the underlying process never changed to match it.
Ready to talk about logistics & supply chain?
A first conversation is a diagnostic, not a pitch -- we'll tell you plainly whether the accelerator fits your operation, and where the highest-leverage place to start actually is.