Smart scheduling

Schedule jobs with the support of artificial intelligence

ADonePRO analyses workloads, availability and geographic location to help you choose the best assignment.

Screen: AI assignment with map and scheduling in ADonePRO

The parameters analysed by the system

How it works

The system uses the information already in the platform and compares several parameters. Managers receive a suggested assignment, which can be confirmed or changed.

Workload

Jobs already assigned, their expected duration and each technician's remaining availability are analysed to balance work more evenly.

Customer availability

Time slots agreed with the customer are used to find compatible appointments.

Job location

Job addresses are analysed to group nearby appointments and reduce unnecessary travel.

Technician location

The system considers the starting point, the activities already scheduled and the area covered by each resource.

Priorities

Urgent jobs are considered before ordinary requests.

SLAs

Contractual deadlines are used to avoid delays and service level breaches.

Skills

The system can take into account required skills, asset type and technician certifications.

A benefit for the whole organisation

For the manager

Scheduling takes less time and can be handled with a fuller view of available resources.

For the technician

Appointments are distributed more sensibly, reducing overlaps and inefficient routes.

For the customer

Jobs are organised faster and with more respect for the availability communicated.

Want to see ADonePRO in action?

See how to manage tickets, jobs, technicians, contracts and spare parts in one platform. During the demo we will show the features that best fit your organisation.