Conduct an executive-level diagnostic of the [Warehouse_Name] pick-pack-ship operation for [Company_Name] in [Region] and design a 90-day optimization and automation plan. Use the current [Baseline_KPIs] (e.g., UPH, pick accuracy, OTIF, CPP) and target [Target_SLA] to identify gaps across order release, picking, packing, and shipping. Evaluate WMS rules, wave/batch strategies, slotting, replenishment triggers, cartonization logic, pack station throughput, and carrier handoff. Prioritize initiatives by ROI, risk, and implementation effort.
Required output:
Executive summary (bullets).
Gap analysis table with metric baselines vs. targets.
Initiative backlog (WSJF score) and 90-day Gantt (ASCII).
RACI by role ([Ops_Lead_Role], [IT_Role], [Carrier_Manager_Role]).
KPI forecast with weekly milestones for [Timeframe].
Risks & mitigations.
Quick automations (WMS config/RPA) and medium CAPEX items (AMR/putwall) with payback.
Assume constraints: [Budget_Capex], headcount limits, and black-out dates. Recommend governance cadence and control-tower alerts.