Three weeks of your best teacher’s life, every year.

The system places the week

You give it the constraints, the schedule pattern, the rooms, the subject load per class and each teacher’s preferences. It places the lessons.

The scheduler works greedily where it can and backtracks where it must, inside a time budget you set. When the budget runs out it stops searching and places the rest greedily, so it always returns a timetable rather than hanging.

Then it tells you the truth about what it produced: an optimisation score, how many lesson units it tried to place, and how many it actually managed. If it genuinely cannot run, because there are no teaching slots or no demand, it says so rather than handing you an empty grid.

It finds its own clashes, and proposes the fix

Conflict detection runs across the timetable and scores what it finds, so you are looking at a ranked list rather than one long pile.

For each conflict it generates resolution suggestions, each with alternatives to choose between. Apply one, or let it auto-resolve. Accept a clash deliberately and mark it ignored, and it stops appearing.

Teacher preferences are an input, not a complaint

Preferences go in before generation and form part of the solve. Afterwards, you can calculate a satisfaction score per teacher and see how well their preferences were actually met.

Copy one teacher’s preferences to another when somebody new joins on similar terms.

You can try a version without losing the one that works

Timetables version. Generate a new one, compare it, and roll back to a snapshot if it is worse.

Changes go through approve, apply and rollback, so a mid-year adjustment is a governed action rather than an edit somebody made without telling anyone.

Cover is a workflow

Substitution handles an absent teacher without touching the rest of the week.

You can see the load before term starts

Workload summaries per teacher, calculated for the whole staff at once. Room capacity, facilities and utilisation reports, so you know whether the estate is actually being used or whether one lab is doing all the work.

Rooms can be blocked for scheduled maintenance, and the timetable knows the lab is unavailable for those two weeks rather than finding out on the day.