Order Fulfillment SLA Pick-Pack-Ship Time Estimator
Calculate order fulfillment capacity, pick-pack-ship cycle time, and labor requirements to meet SLA targets.
Worked Examples
Example 1: E-Commerce Fulfillment Capacity Planning
Problem: 500 orders/day, 3 items/order avg, 2 min pick time/item, 5 min pack, 1 min QC. Available: 80 labor hours/day. Can you meet same-day shipping by 5 PM cutoff?
Solution: Time Analysis:\n- Pick: 3 items × 2 min = 6 min/order\n- Pack: 5 min/order\n- QC: 1 min/order\n- Total: 12 min/order\n\nCapacity:\n- Labor: 80 hours × 60 min = 4,800 min/day\n- Capacity: 4,800 / 12 = 400 orders/day\n- Demand: 500 orders/day\n- Utilization: 500 / 400 = 125% (OVERCAPACITY)\n\nSLA Analysis:\n- Same-day target: 8 hours (5 PM cutoff)\n- Orders to process: 500\n- Time required: 500 × 12 min = 6,000 min (100 hours)\n- Available: 80 hours\n- Shortfall: 20 hours (25% short)\n\nCurrent State:\n- You can process 400 orders same-day\n- 100 orders spill to next day (20% SLA miss)\n- On-time %: 80%\n\nSolutions:\n\nOption 1: Add Labor\n- Need: 100 hours total (500 × 12 / 60)\n- Add: 20 labor hours (2.5 FTE)\n- Cost: $20/hour × 20 × 250 days = $100K/year\n\nOption 2: Optimize Pick Time\n
Result: Current: 80% on-time (100 orders late) | Need +20 hours or batch picking | Batch picking + 4 hours = 100% SLA at $25K/year
Frequently Asked Questions
What is order fulfillment SLA?
SLA (Service Level Agreement) is the promised time from order placement to shipment. Common SLAs: Same-day (ship within 8 hours), Next-day (24 hours), 2-day, 3-5 day. SLA measures operational capability. Missing SLA damages customer trust and metrics (reviews, returns). E-commerce standard: 24-48 hour fulfillment. Amazon Prime: same-day for many items. Achieving SLA requires: adequate staff, efficient processes, inventory availability.
What is pick-pack-ship process?
Standard warehouse workflow: (1) Pick: Retrieve items from shelves based on order, (2) Pack: Box items with padding, add label, (3) QC: Verify correct items and quantities, (4) Ship: Hand to carrier. Pick is usually bottleneck (physical movement through warehouse). Optimization: batch picking (multiple orders), zone picking (pickers stay in areas), automated picking (robots). Each step has time cost; minimizing total cycle time enables fast SLA.
How do I calculate fulfillment labor costs?
Cost per order = (Total labor hours × Hourly wage) / Orders fulfilled. Example: 80 labor hours/day, $20/hour, 500 orders/day. Cost = (80 × $20) / 500 = $3.20/order. Add: benefits (1.3× multiplier), training, management overhead. Total labor cost per order: $4-6 typical. Compare to revenue: if selling $30 items with $4 fulfillment labor, that's 13% of revenue—sustainable. If $10 items with $4 fulfillment, 40% of revenue—unsustainable.
What causes fulfillment bottlenecks?
Common bottlenecks: (1) Picking (largest time component; slow pickers or poor layout), (2) Packing station congestion (not enough tables/supplies), (3) Label printing (printer failures, network issues), (4) Carrier pickup (waiting for truck). Identify bottleneck: measure time at each stage. Optimize constraint: if picking is bottleneck, adding more packers doesn't help. Theory of Constraints: focus on bottleneck only.
Should I outsource fulfillment to 3PL?
Third-party logistics (3PL) handles fulfillment. Consider when: (1) Volume >1,000 orders/day (economies of scale), (2) Seasonal spikes (3PL flexes), (3) Multi-location shipping (3PL has distributed warehouses). Costs: $3-8/order (receiving, storage, pick-pack, ship). Benefits: Focus on growth not operations, faster SLA (distributed), scalability. Downsides: Less control, higher per-unit cost at low volume, integration complexity. Break-even: typically 500-1,000 orders/day.
How do I improve fulfillment speed?
Process: (1) Warehouse layout (A-items near packing, reduce travel), (2) Batch picking (multiple orders per trip), (3) Barcode scanning (reduce errors), (4) Pre-packing supplies (boxes ready at stations). Technology: WMS (warehouse management system), automated conveyors, pick-to-light. People: Training, performance metrics, ergonomic workstations. Each 10% improvement in pick time = 10% more capacity or fewer labor hours.