The real-time orchestration layer between your WMS and warehouse floor. Unified control of AMRs, AGVs, conveyors, and human workers for maximum throughput and operational efficiency.
A Warehouse Execution System (WES) is a real-time software platform that coordinates all automated and manual resources inside a warehouse. It sits between the Warehouse Management System (WMS) and the Warehouse Control System (WCS), translating order-level plans into second-by-second task assignments for robots, conveyors, AS/RS equipment, and human workers.
The WMS sends order waves to the WES, which decomposes them into individual tasks and assigns them to the optimal resource—robot, conveyor lane, or human picker. The system manages traffic routing, schedules battery charging during idle windows, and monitors execution in real time. When exceptions occur, the WES dynamically reassigns tasks without human intervention. This orchestration loop runs at sub-second latency.
A comprehensive set of modules designed to orchestrate every warehouse resource—from heterogeneous robot fleets to human picking teams—in a single unified platform.
Priority-based task sequencing with sub-500ms assignment latency. The engine evaluates order urgency, resource proximity, battery levels, and zone congestion to assign the optimal task to the optimal resource in every cycle. Supports wave, batch, and single-order execution modes simultaneously.
Unified control of AMRs, AGVs, and automated equipment from any manufacturer via VDA5050 (MQTT/JSON) and proprietary adapters. Mix Geek+, MiR, Fetch, OTTO, and AutoStore robots in the same facility while maintaining a single orchestration view with no vendor lock-in.
Conflict-free path planning for up to 500+ concurrent robots using time-space reservation algorithms. Dynamic deadlock detection and resolution at intersections, one-way zone enforcement, and priority-based right-of-way for express lanes carrying high-priority orders.
Machine learning models predict battery depletion curves per robot based on payload, distance, and floor gradient. Proactively routes robots to optimal charging stations during natural idle gaps—eliminating mid-task shutdowns and maintaining 95%+ fleet availability.
Self-healing execution when robots stall, aisles block, or tasks fail. The system detects anomalies within 200ms, automatically reroutes affected tasks to alternate resources, and escalates to operators only when human intervention is genuinely required—keeping the line running.
Live visualization of throughput (lines/hour), order cycle time, fleet utilization rate, pick accuracy, and exception frequency. Configurable alert thresholds trigger notifications when KPIs deviate from targets. Exportable reports for shift reviews and continuous improvement.
Intelligent bin-to-picker coordination for AS/RS, shelving robots, and vertical lift modules. Predictive inventory positioning pre-stages popular SKUs near active pick stations during demand peaks, reducing picker wait time and maximizing pick density per hour.
Dynamic safety zone management with real-time task reassignment for mixed human-robot areas. Ergonomic pacing algorithms balance workload between humans and robots, assigning heavier lifts to robots and precision tasks to humans while maintaining safety compliance.
Hot-swappable warehouse maps that update autonomously when the physical layout changes—new aisles, relocated stations, temporary construction zones. Robots receive updated navigation data in real time without requiring manual remapping or fleet downtime.
The WES platform integrates with your existing technology stack through standardized APIs and pre-built connectors. Deployment supports on-premise, cloud, and hybrid architectures.
SAP, Oracle, Manhattan, Blue Yonder
REST API + MQTT + OPC UA
Conveyors, Sorters, AS/RS
VDA5050 (MQTT/JSON)
Unified Orchestration Core
Proprietary Adapter
Bidirectional REST API and webhook connectivity to SAP EWM, Oracle WMS, Manhattan Associates, Blue Yonder, HighJump, and 50+ additional WMS platforms. Order waves, inventory snapshots, and replenishment triggers synchronize in real time. Pre-built connectors reduce integration timelines to 4–8 weeks for standard configurations.
VDA5050 compliant communication for AMRs and AGVs via MQTT/JSON. OPC UA and SOAP adapters for conveyors, sorters, and AS/RS systems. WebSocket channels for real-time telemetry. Certified adapters for Geek+, MiR, Fetch, Locus, OTTO, AutoStore, Dematic, and Swisslog. Custom protocol adapters available for proprietary equipment.
Phase 1 — Discovery (Week 1-2): Map equipment inventory, network topology, and integration endpoints.
Phase 2 — Configuration (Week 3-6): Deploy instance, configure device adapters, define zone maps and WMS data flows.
Phase 3 — Simulation (Week 7-8): Digital twin testing with your layout and order profiles before go-live.
Phase 4 — Go-Live (Week 9-12): Phased rollout with live parameter tuning and optimization.
Detailed platform capabilities and performance parameters for system planning and integration assessment.
| Parameter | Specification |
|---|---|
| Concurrent Task Processing | Up to 10,000 tasks/second; 50,000+ pending task queue depth |
| Task Assignment Latency | < 500ms per assignment cycle; exception detection < 200ms |
| Robot Fleet Capacity | 10 to 500+ concurrent robots per instance (horizontally scalable) |
| Supported Device Protocols | VDA5050 (MQTT/JSON), OPC UA, REST API, SOAP, WebSocket, Modbus TCP — 8 protocol adapters |
| API Interfaces | 120+ REST endpoints; 40+ MQTT topic namespaces; webhook event system with 60+ event types |
| Concurrent User Sessions | 200+ simultaneous dashboard users; role-based access control (RBAC) |
| Database Architecture | PostgreSQL (primary) + Redis (real-time cache) + TimescaleDB (time-series telemetry); automatic partitioning for 12+ months retention |
| Deployment Options | On-premise (Linux/Kubernetes), Cloud (AWS / Azure / GCP), Hybrid (edge compute + cloud analytics) |
| System Availability | 99.95% uptime SLA; active-passive failover with < 30s switchover; zero-database-loss replication |
| WMS Integration Time | 4–8 weeks (standard connectors); 8–16 weeks (custom ERP adapters) |
| Multi-Vendor Robot Support | Unlimited via adapter architecture; certified for Geek+, MiR, Fetch, Locus, OTTO, AutoStore, Dematic, Swisslog |
| Navigation Types Supported | LiDAR SLAM, QR-code, AprilTag, Magnetic Strip, UWB, 3D Camera — 6 navigation modes |
| Human Worker Zones | Unlimited collaborative zones; dynamic safety boundary adjustment at 10Hz refresh rate |
| Simulation & Digital Twin | Built-in 2D/3D visualization engine; what-if scenario testing; layout simulation before deployment |
| Analytics & Reporting | Real-time dashboards; 50+ pre-built KPIs; predictive maintenance alerts; CSV/API data export |
| Battery Management | ML-based predictive scheduling; per-robot depletion modeling; 95%+ fleet uptime target |
| Multi-Facility Support | Centralized multi-site management; unified fleet visibility across warehouse locations |
| Message Throughput | 500,000+ messages/minute via MQTT broker; Kafka event streaming for audit log and analytics pipelines |
| Map & Zone Capacity | Up to 2,000,000 m² warehouse coverage per instance; 500+ configurable zones; 10,000+ waypoint nodes |
| Data Retention & Archival | Hot storage: 90 days (telemetry); Warm storage: 12 months (TimescaleDB); Cold archival: configurable to S3/GCS |
| Security & Authentication | TLS 1.3 encryption in transit; AES-256 at rest; OAuth 2.0 / SAML SSO; per-API-key rate limiting |
| Operating System Support | Ubuntu 20.04+, RHEL 8+, Debian 11+; Docker container images; Helm charts for Kubernetes deployment |
| Localization & Language | Dashboard UI in English, Chinese (Simplified), German, Japanese, Spanish; configurable date/time/number formats |
| Monitoring & Observability | Prometheus + Grafana integration; OpenTelemetry traces; structured JSON logging; PagerDuty/OpsGenie alert hooks |
The WES platform is deployed across diverse warehouse environments where real-time coordination of automated and manual resources is critical.
High-SKU, high-order-volume environments requiring sub-minute pick-to-ship cycle times.
Shared facilities serving multiple clients with distinct SKUs, workflows, and SLA requirements.
Refrigerated and frozen goods warehouses where door-open time and human exposure must be minimized.
Sequence-driven parts delivery supporting just-in-time production lines with zero-tolerance for line stoppages.
Regulated environments requiring strict lot tracking, serialization, and audit trail compliance.
Distribution centers supporting store replenishment cycles with predictable wave-based throughput requirements.
WMS handles strategic planning (hours-to-days horizon). WES translates plans into real-time execution (seconds-to-minutes horizon). WCS handles machine-level PLC control (millisecond horizon). The WES bridges WMS and WCS, ensuring all resources—robots, conveyors, humans—work on the highest-priority tasks at all times.
VDA5050 serves as the universal standard for AMRs/AGVs via MQTT/JSON. For non-VDA5050 brands, proprietary adapters cover Geek+, MiR, Fetch, Locus, OTTO, and AutoStore. Multiple vendor robots operate under a single orchestration layer with no custom middleware required.
Yes. Pre-built connectors support 50+ WMS platforms including SAP EWM, Oracle WMS, Manhattan, Blue Yonder, and HighJump. Bidirectional REST APIs and webhooks enable real-time order sync. Standard deployments complete in 4–8 weeks.
The WES detects anomalies within 200ms via 10Hz telemetry monitoring. Affected tasks are reassigned to the nearest available resource, the blocked zone is flagged on the map, and routing algorithms recalculate for all in-flight robots automatically. Human intervention is only escalated if auto-recovery fails.
Three models: On-premise (Linux/Kubernetes for data residency), Cloud (AWS/Azure/GCP with 99.95% SLA), and Hybrid (edge compute for real-time control + cloud analytics). All models share identical feature sets.
Request a technical consultation to assess how WES fits your warehouse automation architecture. We'll review your equipment inventory, integration requirements, and operational workflow.