More jobs per van, fewer miles
Sector Regional field service company, a fleet of service vans.
The situation
Routes were planned by hand and by habit. Vans doubled back, fuel was wasted, and each engineer fit in fewer jobs a day than they could.
What CAPIO did
We ran a route optimisation pilot that plans each day's jobs against real constraints, drive time, job windows, engineer skills, and reorders them for the shortest sensible route. It updates when a job is added or a cancellation comes in. Built on a routing engine fed from their scheduling data, delivered as a simple daily plan the dispatcher can override.
The outcome
- Around fifteen percent fewer miles driven across the fleet *representative*
- Roughly one extra job per van per day, without longer shifts *representative*
- Lower fuel spend and less wear, straight to the bottom line *representative*
Small savings per van, but multiply it across the fleet every day and it is real money.
- Turning AI activity into a governed programme
- Compliance and competence as the growth engine
- Seeing the whole field, not five percent of it
- An expert made available at scale
- A video for every listing, not just the flagship few
- The support desk that answers itself
- An expert on tap for a small firm
- Fluency across a whole small company
- Catching fraud before it lands
- Contracts read in seconds
- Cutting the energy bill on what you already run
- A small dev team that ships like a bigger one
- Keeping subscribers who were quietly leaving
- Lifting the whole field, not just the top performers
- Buying at the right moment, not out of habit
Case studies are anonymised. Representative outcomes are benchmarked to independent research and illustrate typical results rather than a specific client figure.