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.

Flight catering example

Inspect a recorded catering schedule, flight templates and preparation steps in a read-only example.

Shelves and boxes inside a warehouse.

Warehouse example

Inspect a recorded schedule of inbound work, pick waves, packing, staging and dispatch cutoffs.

A person holding a grocery basket.

Retail coverage example

Inspect a recorded staff schedule with checkout peaks, replenishment and click-and-collect work.

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.

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

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

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

Demand-shaped coverage review

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

Schedule fill

A generic workbench for activity and resource scenarios, optimization jobs and result schedules.

Flight catering

An app for expanding flight types into timed catering work and placing it with schedule fill.

Rotation

Improve task rotation within an existing schedule, preserving work times and coverage while comparing duration grades.

Explore Store rotation

Staff planner

An app for planning records with calendars, day patterns, groups and schedule review views.