Domain
Planners who built truckloads by hand get a rules-driven optimiser that fills loads to their limits.
The work spans the weekly truckload plan, the rolling production-planning cycle with its locked window, and the demand forecast that feeds both. Hard limits such as weight, pallets, order value and stock cover are single-sourced constants with a named business owner, and the planner makes the final call.
Took over as engineering lead on a tool originally built by the business owner, who keeps the domain rules and sign-off on rule constants.
A named approver on every business-rule constant structural
Engineering Layered design: separates data intake, storage, calculations and interface structural
03 Constraint solver with scenario review
Constraint-driven planning that translates operational rules into better freight decisions.
AI role No AI at runtime. Rules, constraints and a planner's decision.
In useOutcome Planning support reviewable load planning informed by documented constraints realised
A visual operating procedure for the rolling production-planning cycle: planning horizon, locked window, escalation path, weekly cadence.
Validated forecast and service-level inputs support repeatable reporting workflows.