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What is the most effective wayLogistics and distributionUse case, not a client result

Which dispatch and routing rules cost us the most, and which work best?

The decision it informs

Which rules to change, which depot practices to copy and where to add capacity.

A dashboard versus an investigation
A dashboard showsLate deliveries and empty miles.
An investigation tells youThe decisions behind them, and what a different rule would have done.
What would come out
How the driver ranking readsSchematic, no values
01
A map of the real processWhere orders wait and which rule or handover causes it.
02
A rule comparisonThe effect of each candidate rule on delay and cost, from replaying real orders.
03
A playbookThe best depot practice, written so another depot can adopt it.
Scenarios you could then run
  • What if the cut-off moves an hour earlier?
  • What if loads below a threshold wait for consolidation?
  • What if one depot adds a dock for a week?
Try the what-if playground →
How we would get there
Method 1Process miningThe real path an order takes, step by step, and where it waits.
Method 2Depot and planner comparisonWhat the best performers do differently, tested against the data.
Method 3SimulationReplay a month of real orders under a different rule to see the effect.
Data we would look at
Orders and promised datesTrips, routes and stopsVehicle and driver availabilityDepot dwell timesDelay reasons and claims
First week: the questions we ask
Which rules are written down, and which live in people's heads?Which depots or planners perform best, and does anyone know why?What is the cost of a late delivery against an empty mile?Which constraints are real, and which are habit?
More investigations

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