Requirements + rules + optimization

Optischedule

Scheduling gets hard when demand changes by the hour, rules matter, and the result still has to make sense to the people running the operation.

Optischedule is built for that middle ground: generated schedules, visible constraints, and room for planner judgment.

Airplane at an airport gate.

Airport and catering logistics

Flight templates, passenger-driven work, preparation windows, loading deadlines, and staff review plans.

Shelves and boxes inside a warehouse.

Warehouse staff planning

Inbound work, pick waves, packing, staging, dispatch cutoffs, and coverage that changes across the day.

A person holding a grocery basket.

Retail coverage

Checkout peaks, floor coverage, replenishment, and click-and-collect work in the same planning horizon.

Sustainable schedules

Coverage and staff conditions pull against each other.

The useful schedule is the one where that tradeoff is visible before it is published. Optischedule keeps demand, rules, and resource data close to the planning surface so teams can inspect the result instead of treating it as a black box.

Demand-shaped coverage

Staff against the actual demand curve instead of a flat headcount assumption.

Rules that stay visible

Represent rest rules, skills, rotation, availability, and locked work as planning inputs.

Generated, then reviewed

Optimization creates a schedule candidate; planners still inspect and own the final plan.

Scenario

Demand-shaped coverage review

18Activities
7Rules
1Job
Ramp
Prep
Load
Line
Assembly
Gate
Dispatch
Cutoff

Schedule fill

Create activity and resource scenarios, attach rules, run optimization jobs, and review result schedules.

Flight catering

Expand flight types into operational workload before sending the scenario into schedule fill.

Staff planner

Turn result schedules into planning records with calendars, day patterns, groups, and review views.