Draft the optimal rule set for a constraint-based load builder in [TMSName] to maximize trailer cube and legal weight utilization for [TrailerTypes] while respecting [MaxPalletHeight] and customer appointment windows. Use policy levers such as compatible SKU stacking, stop sequence logic, and dwell thresholds at [PrimaryDCs]. Incorporate soft vs. hard constraints and define override governance for planners in [PlannerRole].
Output requirements: (1) A JSON configuration template with parameters: stackingRules, stopSequence, weightTolerance, cubeThreshold, appointmentBufferMins, splitShipmentPolicy, exceptionCodes. (2) A test protocol: 10 representative loads from [HistoricalShipmentsFile] with expected vs. actual outcomes (Markdown table). (3) A “Planner Decision Tree” (numbered steps) for exceptions.
Quantify expected gains: % cube lift, % weight lift, and % reduction in LTL conversions. Provide a change-control process and audit metrics for rule drift.