MAG OptiAI

MAG OptiAISchedAIService SchedulingBeta

Plan Service Visits Around Real-World Constraints.

Plan staff member visits around skills, customer time windows, availability and travel. Review the routes, unserved visits and workload before putting the plan into practice.

Model your service operation. Prepare the visits and travel assumptions. Review the plan against your real requirements.

Prefer to explore first? Start free14-day trial · lower limits. Beta access requires approval.
Built for service planners
Service staff and visits
Cloud-based Pro Console
Guided evaluation

The service scheduling challenge

A Service Day Has to Work from Visit to Visit.

Staff Member skills, customer windows and travel all share the same working day.

Challenge 01 / 05

The Available Staff Member May Not Have the Right Skills

A free slot is only useful when the assigned person can do the work.

Visits require particular skills. Staff Member eligibility, preferences and exclusions narrow the choices before timing and travel are considered.

Impact

Match visit requirements to the service staff represented in your profile.

Service coordinators reviewing staff member skills and specialist tools.
AI-generated illustration

The challenge is more than finding a free staff member.

It is building a service plan that connects eligible service staff, customer requirements and realistic travel assumptions.

Why MAG OptiAI

A Smarter Way to Plan Service Schedules.

Keep your reusable service foundation separate from the visits and travel assumptions of each planning period.

A Reusable Service Foundation

Publish a Service Profile containing service staff, skills, depots, recurring availability and duty limits.

A Planning Case for Each Period

Prepare dated visits, customer locations, active service staff, travel assumptions and availability exceptions in a Service Scenario.

A Plan You Can Inspect

Review visit assignments, route sequences and the service map alongside coverage, timing and workload metrics.

Your service context stays connected.

Published Service Profiles anchor the reusable foundation. Service Scenarios hold dated visits, customer locations, travel assumptions and exceptions for each planning period.

Process

How We Work

From your service foundation to staff member routes you can review.

MAG OptiAI guides your team from describing the service planning problem to reviewing alternatives and choosing a plan.

01

Model

Create and publish your Service Profile.

Service Staff · skills · depots · recurring availability · duty limits

Illustrative planning checkpoint
Foundation
Service Profile
Resources
Service Staff and depots
Version
Published
02

Prepare

Build the Service Scenario for your planning period.

Customer locations · dated visits · travel matrix · exceptions

Illustrative planning checkpoint
Period
Planning horizon
Visits
Windows and durations
Travel
Supplied matrix
03

Configure

Choose routing policies and solver settings.

End policy · permitted unserved work, tardiness and overtime · runtime

Illustrative planning checkpoint
Policy
Return or open route
Settings
Permitted trade-offs
Solver
Supported options
04

Schedule

Validate your inputs and run optimization.

Build staff member routes from the profile, scenario and selected settings

Illustrative planning checkpoint
Validate
Input readiness
Schedule
Visit assignments
Inspect
Run outcome
05

Review

Inspect routes and service outcomes.

Served and unserved visits · timing · travel · duty · exports

Illustrative planning checkpoint
Coverage
Served and unserved
Timing
Arrival and service
Workload
Travel and duty
06

Test Alternatives

Explore supported changes to the service planning case.

Keep the baseline context while reviewing an alternative result

Illustrative planning checkpoint
Baseline
Current service plan
Change
Supported adjustment
Review
Alternative result
07

Compare & Decide

Review the trade-offs before choosing a plan.

Coverage · travel · timing · workload · planning requirements

Illustrative planning checkpoint
Baseline
Current requirements
Alternative
Adjusted requirements
Decision
Operational fit

Core capabilities

What Service Scheduling Can Do for Your Organization

A connected workflow for representing your service operation, scheduling visits and inspecting the outcome.

Publish a Service Profile

Reuse staff member, skill, depot and availability information across planning periods.

Match Visit Skills

Define required skills and staff member preferences or exclusions for a visit.

Represent Availability

Combine recurring staff member availability with dated scenario exceptions.

Plan Dated Visits

Specify customer locations, start windows, service durations and priorities.

Include Travel Assumptions

Supply travel times between locations and review the route sequence.

Choose Routing Policies

Configure route endings and whether unserved visits, tardiness or overtime are permitted.

Validate Before Scheduling

Check the profile and scenario inputs before optimization.

Review Routes and Results

Inspect assignments, the service map, unserved work and operational metrics.

All in one place.

Everything you need for informed scheduling decisions.

Service Scheduling in action

See the Service Day Behind the Route.

Review the sequence of visits alongside arrival, service and travel times. This illustration explains the concept; it is not a measured scheduling result.

Visits and travel belong in the same plan.

Inspect the route sequence, visit assignments and service map alongside coverage, travel, waiting and duty metrics. Check the supplied travel assumptions and the outcome for visits that could not be served.

Begin with your own service requirements and review the reported outcome before using the plan.

Illustrative service dayIllustrative

Staff Member A

  1. 08:00

    Leave depot

    20 minutes travel

  2. 08:30–09:15

    Customer visit 1

    45 minutes service · then 30 minutes travel

  3. 10:00–11:00

    Customer visit 2

    60 minutes service

Staff Member B

  1. 08:00

    Leave depot

    30 minutes travel

  2. 09:00–10:00

    Customer visit 3

    60 minutes service · then 15 minutes travel

  3. 10:30–11:15

    Customer visit 4

    45 minutes service

Fictitious staff members and visits. Gaps can include waiting before a customer window opens. This is an illustrative concept, not a measured optimization result.

Who it’s for

Is Service Scheduling a Good Fit for Your Team?

For teams coordinating staff member visits with skills, customer windows and travel requirements.

Dispatch and Planning Teams

Prepare dated visits, customer requirements and the travel assumptions used to plan a service day.

Field Service Operations

Represent staff member skills, depots, recurring availability and duty limits.

Managers Reviewing Service Plans

Inspect route sequences, unserved work, travel and workload before putting a plan into use.

Every service operation is different. Evaluate whether the supported model represents your visit requirements and travel assumptions before relying on the plan.

The Service Scheduling Beta

Real Problem. Real Evaluation. Real Impact.

Bring your service planning challenge and evaluate the fit with your organization’s information.

What You Get

Access for a Real Evaluation

Apply for approved beta access to evaluate your service planning problem beyond the smaller trial limits.

A Guided Service Setup

Represent service staff, skills, depots, availability and duty limits in a reusable profile.

Planning with Your Requirements

Prepare actual visit windows, service durations, customer locations and travel assumptions.

A Direct Feedback Channel

Discuss setup difficulties, unsupported requirements and practical usability with our team.

Results You Can Inspect

Review routes, coverage, travel and workload before deciding how the plan fits your operation.

What We Ask From You

A Defined Service Problem

Bring a planning period, service requirements and the decisions your team needs to make.

Usable Service Data

Provide relevant staff member skills, depots, availability, dated visits, locations and travel times. Anonymized data is welcome.

Practical Feedback

Tell us where the model fits your operation and which requirements need attention.

A Review of the Outcome

Check assignments, timing and travel assumptions before using the generated plan.

Real Problem

Real Evaluation

Better service planning decisions.

A real-world evaluation with your organization.

Bring your service planning problem and real or anonymized service data. We will review the fit and help you get started.

Service Scheduling Beta

Frequently Asked Questions

What to know before evaluating your staff member visits and service requirements.

Is this only for technical trades?

No. The workspace calls its service resources technicians, but skills are defined by your operation. The model can represent other service staff when their work fits dated visits, locations, time windows, availability and travel requirements.

What information do I need?

Start with service staff, skills, depots, recurring availability and duty limits. The Service Scenario adds active service staff, customer locations, dated visits, availability exceptions and a travel matrix.

How do profiles and scenarios differ?

A Service Profile is the reusable foundation. A Service Scenario uses a published profile version and holds the requirements and travel assumptions of a particular planning period.

Does the product calculate live travel times?

Scheduling uses the travel matrix you supply. Do not treat the illustrated map or route display as a promise of live traffic data or automatic travel-time calculation.

Can visits require specialist skills?

Yes. Visits can require skills, prefer particular service staff or exclude service staff. These requirements must match the information in the profile.

What if some visits cannot be served?

Review unserved visits and their reported reasons. The selected settings determine whether unserved work is permitted; not every planning problem has a complete feasible solution.

How is the trial different from beta access?

Start Free begins the existing 14-day trial with lower limits. A larger beta evaluation requires an application and approval by our team.

Can I allow overtime or late visits?

The routing settings let you specify whether overtime and tardiness are permitted. Review the resulting duty, overtime and tardiness metrics against your operational policies.

Can we evaluate with anonymized data?

Yes. Keep consistent identifiers, skill relationships, time windows and travel assumptions so the anonymized case still represents the planning problem.

How do I apply?

Use Apply for the Service Beta to reach the existing beta application journey. Our team reviews applications and confirms the fit for an evaluation.

Still have a question?

Talk to us about your service scheduling evaluation.

Contact our teamsupport@magoptiai.com

Ready to get started?

Ready to Evaluate Service Scheduling with Your Organization’s Data?

Tell us about your staff member visits, customer windows and travel requirements. We will review your application and confirm whether the current Service Beta is a good fit for your organization.

No payment requiredApplication reviewed by our team