Identify the picking bottleneck at [WarehouseName] using order profiles and travel time analysis for [Timeframe]. Given [PickMethod] and [AisleCount], model picker path congestion, average line time, and error hotspots. Recommend a re-slotting strategy and labor plan to achieve target picks/hour while reducing [ErrorRate].
Output format:
Operations Brief (≤160 words).
Markdown table “Hot Zones” with: Zone/Aisle, Orders %, Lines %, Avg Travel Time, Congestion Index, Error Rate, Proposed Action.
Re-slotting rules (ABC/velocity, physical constraints, affinity) and a SKU move list template.
Labor & schedule plan (crew size by wave, cross-train plan, contingency).
Post-change KPI dashboard spec (picks/hr, path length, error ppm, queue time).
Address replenishment synchronization to avoid starving pickers.