Kardinal Transport
Field Services
Efficient planning of operations considering customer’s specific constraints and your own activity is a highly complex task.
Case study
Glasseo reduced intervention time by 12% with Kardinal.
Use cases
Use cases for field services
Intervention scheduling
Based on a set of interventions to be scheduled and available technicians, our algorithms optimally plan routes to control costs, productivity and service quality.
Predictive ETA
Based on scheduled interventions, our algorithms calculate predictive arrival times that can be used to notify customers of the technician's arrival.
Real-time adjustments
As the day unfolds, when an urgent intervention comes in, our algorithm continuously recalculates the best route adjustments, taking into account the current technician and traffic conditions.
Skill-based dispatch
Each intervention is assigned to the technician who has the required skills, certifications and equipment, with no manual check.
Operational constraints
Handle the constraints specific to field services.
From the expected baseline to the signature rules almost no one can model, pick a level to see what the optimization accounts for.
Appointment windows
Fixed intervention slots agreed with the customer, always honored.
Required skills
Each job matched to a technician who holds the certifications it needs.
Home start and end
Every route starts and ends at the technician's own home.
Blacklist
Technicians barred from sites they can no longer return to.
Seniority-based service times
Job duration adjusts to who's on it: a senior clears it faster.
Max travel between jobs
A cap on drive time between two jobs: short hops, less road.
Max distance from home
First and last stops kept close to home, with no long drive at either end of the day.
Opportunistic jobs
Long-horizon tasks slotted in optionally, only when the route has room.
Preferred skills
A senior preferred where anyone could go, on tough jobs or demanding clients.
Benchmark
Compare our coverage to the competition.
Our benchmark pits 149 real business constraints against 10 competing routing APIs, sector by sector. Field services get their own breakdown, and every result is verifiable at the source.