Simulations & scenarios

Is the next technician worth it? Where do you split?

A simulation freezes one office’s technicians and customers so every idea you try starts from the same place. Then you run the expensive questions against your own data instead of your instinct.

PestRouting — Simulation
A PestRouting simulation named Q4 planning: data frozen three days ago, October 1 to 31, four employees and 134 subscriptions, with a scenarios card listing North-south split, Five technicians, Two-tech Saturdays, Winter routes and Today’s setup.
One frozen baseline. Five ideas tested against it, each one a scenario.

The baseline

Freeze the office, so the comparison is honest.

A simulation captures one office’s technicians and subscriptions for a planning period and holds them still. Every scenario inside it starts from that same snapshot, so a difference you see is the change you made — not a customer who cancelled while you were thinking.

  • Pick the office and the months the scenarios will plan
  • Up to 12 months ahead, depending on your plan
  • “Data as of” on every simulation, so you know how fresh it is
  • Nothing in your live schedule is touched
PestRouting — New simulation
The PestRouting new simulation form: the office, a name reading Winter 2027, a description about five technicians from January, and a planning period running from January to March 2027.
An office and the months to plan. Everything inside it then starts from the same snapshot.

Scenarios

Change almost anything, then run it.

Add a technician who does not exist yet, take one out, move a customer’s preferred technician, redraw a territory or change a service frequency. The scenario plans the whole period with that change in place and shows you the month it would produce.

  • Add or remove technicians and change who serves whom
  • Re-zone territories or change recurrence
  • Optionally let it move a recurring visit’s regular day
  • Duplicate a scenario to branch instead of starting over
PestRouting — Scenario
A PestRouting scenario’s plan: every technician against every day of the month with the stops they carry, each cell shaded by the share of the day spent driving, next to a map of all 88 routes for the period.
Every technician, every day, shaded by how much of the day goes to the road.

Compare

Two or three ideas, side by side, against today.

Pick a baseline — usually your current setup — and put the scenarios next to it. Production value per route, routes, stops, utilization and labour cost, with the change under each figure, so the trade-off stops being an argument and becomes a number.

  • Any solved scenario can be made the baseline
  • Production per route, stops, utilization, labour cost
  • What is different about the premise, listed per customer
  • Maps of both plans, side by side
PestRouting — Compare scenarios
Three PestRouting scenarios compared in a table — today’s setup as the baseline next to Winter routes and Two-tech Saturdays — with production value per route, routes, stops, utilization and labour cost, and the change against the baseline under each figure.
Both ideas cut labour cost. Both cost production per route. That is the decision.

Why the number moved

Four questions, answered by the plan itself.

How much work fits into a day, how much of the day goes to the road, whether it is spread evenly across people, and whether it is spread evenly across the week. Each figure opens into the routes behind it, so a bad average has an address.

  • Stops, production and time per route and per hour
  • Share of the day driving, distance per stop, average leg
  • Routes, time and production per technician
  • Busiest weekday and busiest hour against an even share
PestRouting — What the plan looks like
The PestRouting scenario ratio board: four panels asking how much work fits into a day, how much of the day goes to the road, whether the work is spread evenly across people, and whether it is spread evenly across the week and the day.
Four questions. Every answer drills into the routes that produced it.

Adopt it, or do not

A scenario can become the real thing. Once.

When one wins, adopting it writes its changes into your data — a new preferred technician for seven customers, say — and lists exactly which ones. Those changes then reach FieldRoutes only through a write-back batch somebody confirms.

  • Every change listed before anything is written
  • What goes to FieldRoutes is named separately
  • Booked visits stay as they are unless you said otherwise
  • Or adopt nothing, and keep the whole thing as a what-if
PestRouting — What changes
A PestRouting scenario summary: seven of 133 customers get another preferred technician, also in FieldRoutes after you confirm, with a link reading Who gets whom, and a note that no visit moves.
Seven customers change hands. No visit moves. Both stated before you decide.

Before you ask

Can a simulation tell me whether to hire another technician?
That is its main job. Add the technician to a scenario, run it against the frozen baseline, and read production value per route, utilization and labour cost for both. You see what the month looks like with and without them before you write a job advert.
Can I test splitting a territory?
Yes. Redraw the service areas inside a scenario, or let the planner find balanced territories itself, then compare the result against today’s setup. You can also see what an area is worth only after the run, because until it is planned nobody knows whether one technician can actually carry it.
Does running a simulation change anything live?
No. A simulation works on a frozen copy of the office and touches neither your schedule nor FieldRoutes. Only adopting a scenario changes anything, and even then what reaches FieldRoutes waits for a confirmed write-back batch.
Which plans include simulations?
Grow and Scale. Grow models 6 months ahead, Scale 12. The Run plan covers the planner and the analytics without the simulation tooling.
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