1What you can explore in simulation

Instead of experimenting in production, you can use simulation to test:

different numbers of stores and drivers,
alternative operating plans (Simple, Basic, Semi-Auto, Auto),
different bundling and fairness configurations,
new SLA targets (for example 90% < 30 minutes).

2Historical versus synthetic data

You can feed simulation runs either with historical data from your own operation or with synthetic “stress test” scenarios that mimic very high volume or challenging conditions.

This helps you see how the fleet would behave if you opened new stores or doubled volume in specific Zones.

3Metrics worth tracking

For every run, it is useful to look at:

average and maximum delivery time per Zone,
how many stops per route you get,
how workload is distributed across drivers,
how many orders miss their SLA target.

4Moving from simulation to production

Once you find a configuration that performs well in simulation, you can roll it out gradually: first to a single store or Zone, then to a larger part of the fleet.

The goal is not to predict every detail, but to go live knowing that your chosen plan and settings can handle the volume you expect.