| 1 | Map current warehouse processes before selecting a system | Receiving, put-away, replenishment, picking, packing, shipping, exception handling, returns, and inventory adjustments. | Order lines per hour, travel distance, touches per order, queue time, manual transactions, and exception frequency. | Document normal flow and at least the highest-volume and highest-risk exception paths. | Configurable workflows, task prioritization, exception queues, operator prompts, and real-time process status. |
| 2 | Size the system for both current and peak demand | Average volume, seasonal peaks, promotional surges, cut-off times, future facilities, and expected SKU or order growth. | Peak orders per hour, peak lines per hour, units per order, wave size, shipping windows, and annual growth rate. | Use measured peak-period data rather than daily averages; test at planned peak plus a reasonable growth allowance. | Capacity monitoring, workload balancing, scalable task release, and simulation or stress-test support. |
| 3 | Match WCS functionality to material-handling equipment | Conveyors, sorters, pallet systems, automated storage, lifts, shuttles, robots, scanners, scales, printers, and safety devices. | Equipment rates, buffer capacity, cycle times, interfaces, fault codes, recovery procedures, and maintenance windows. | Confirm rated throughput under the actual product mix, induction method, carton profile, and operating schedule. | Equipment control, routing logic, zone control, buffering, alarm management, manual bypass, and safe restart procedures. |
| 4 | Verify integration with business and warehouse systems | Warehouse management, enterprise resource planning, transportation, labor, order management, parcel, and reporting systems. | Order, inventory, item master, location, shipment, status, carrier, and error-message data requirements. | Define ownership, frequency, format, validation rules, retry behavior, and reconciliation for every critical message. | Documented APIs or message interfaces, event logging, acknowledgements, retry queues, monitoring, and data reconciliation. |
| 5 | Set measurable performance and service-level requirements | Throughput, order accuracy, inventory accuracy, equipment availability, response time, recovery time, and shipment cut-off performance. | Baseline KPI values, target values, measurement definitions, reporting intervals, and acceptable downtime. | Define each KPI mathematically; for example, order accuracy equals correct orders divided by total orders measured. | Live dashboards, configurable reports, time-stamped events, audit trails, alerts, and exportable operational data. |
| 6 | Evaluate resilience, cybersecurity, and recovery controls | Network outages, server failures, equipment faults, power interruptions, unauthorized access, and disaster recovery scenarios. | Recovery time objective, recovery point objective, backup frequency, access roles, incident logs, and manual operating capacity. | Test failover and restore procedures before go-live; do not rely only on written recovery claims. | Role-based access, encrypted communications, backups, redundant components, health monitoring, and documented recovery workflows. |
| 7 | Plan implementation, training, and total cost of ownership | Project phases, data cleansing, testing, operator training, maintenance, upgrades, support coverage, and future configuration changes. | Implementation hours, integration effort, hardware requirements, license or service costs, support fees, and planned downtime. | Use a phased plan with unit testing, integration testing, operational simulation, user acceptance testing, and controlled cutover. | Training tools, configuration management, version control, test environments, documentation, support procedures, and upgrade paths. |