AI you can trust with the roster
Opturan is built on discrete optimization and machine learning. The system explores millions of ways to combine shifts and assignments and picks the best one against your criteria. It is not a black box: the rules are explicit and the result can be verified
Two technologies — one job
Discrete optimization
Shift and roster planning is a combinatorial problem: out of a vast space of feasible options, the economically best one must be found. Opturan solves it with mathematical rigor, not with “the way the planner is used to” heuristics
Machine learning
Machine learning helps the engine work with real company data — and makes computations faster and more accurate from deployment to deployment
Not a black box
Trust in the computation matters more than impressive “magic”. So the system is built to be transparent
- Company rules are set explicitly — crew pairings, teams, shift patterns, internal policies — and can be inspected and changed
- Work-and-rest regulations — Ministry of Transport orders No. 424 and No. 339 — are enforced by construction: the engine cannot produce a roster that violates them
- The result is verifiable: every assignment can be explained through the configured rules and criteria
- Optimization criteria — cost, shift density, employee preferences — are tuned to your operation
How a computation runs
- STEP 01
Your data
A schedule or service contract, staff, qualifications, shift patterns and rules — loaded from the systems you already run
- STEP 02
Parallel scenario computations
The system computes several “what if” scenarios at once — different timetables, headcounts, rules — and lets you compare them before a decision is made
- STEP 03
A result in minutes
Optimal shifts and a ready roster — in minutes, not days of manual work. When the input data changes, the computation reruns just as fast
Proven by real line dispatch
Opturan’s artificial intelligence was tested not with “a schedule in Excel” but with real operations: in real deployments, companies dispatched drivers and vehicles to the line using schedules and rosters built by the system
That is the ultimate test for any planning algorithm: the roster has to work on the line, not on paper — with real people, qualifications and regulations. The effect for your operation is confirmed the same way — with free test runs on your own data
Verify the computation on your own data
Free test runs on a single route, depot or unit — the effect evaluation methodology is agreed in advance
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