In manual order picking processes, operators spend over half of their time walking between rack aisles and carrying totes or cases. Miggra Autonomous Order Picking Solutions unite human operators and Autonomous Mobile Robots (AMRs) within a single unified workflow, eliminating non-productive intra-facility movement and significantly boosting order preparation throughput.
CarrGO mobile robots autonomously transport order containers between storage aisles, picking zones, and packing stations. While the MWS Orchestration Platform orchestrates order flows and material handling tasks, operators remain focused strictly on value-added item picking and validation.
- Multiplied Picking Productivity: Zone-based picking scenarios drastically cut operator walking time, increasing error-free units picked per hour (UPH) by 3x to 5x.
- Control & Verification at Every Stage: Integrated barcode scanning, audiovisual cues, optional precision weight validation, and item-to-order verification eliminate shipping errors and mispicks.
- Dynamic Task & Route Management: Real-time scheduling algorithms manage task distribution, facility traffic control, and operational priorities dynamically as your AMR fleet scales
- System Integration: Continuous real-time data synchronization across current enterprise platforms (WMS, MES, and ERP) for orders, stock levels, and bin locations.
- Flexible Capacity & High Efficiency: Rapidly expand fleet capacity during seasonal demand peaks by integrating additional mobile robots and automated charging stations via the MWS platform within minutes.
Technologies
By integrating autonomous robots, AI-powered technologies, and centralized orchestration software (MWS), we enable efficient, traceable, and streamlined management of goods receiving, order picking, sorting, verification, and material handling processes on a unified platform.
Miggra Warehouse System (MWS)
A multi-tenant warehouse management and control system integrated via lightweight API endpoints.
- Push/pull order data to and from primary enterprise systems (ERP, OMS).
- Real-time data logging and alarm tracking.
- Role-based dashboards and detailed reporting for defined KPIs.
- Track inventory movements with automated alerts for cycle counts and stockouts.
- Multi-tiered access control and permission management for operators, managers, and IT personnel.
CarrGO Management Software (CMS)
- Robot fleet and traffic management.
- Warehouse control and execution system (WCS/WES).
- Real-time system monitoring.
- Integrated Pick-to-Light system (P2L 2.0) management.
CarrGO
Boost operational productivity with CarrGO.
- Up to 5x increase in Units Per Hour (UPH).
- 99.9% order picking accuracy.
- Embedded touchscreen PC with optional 1D/2D barcode scanner.
- Optional Virtual Positioning System (VPS) providing indoor localization accuracy within 10 cm.
- Autonomous navigation, fleet traffic management, dynamic route optimization, and obstacle avoidance.
P2L 2.0
(Next-Generation Pick-to-Light)
Our specialized Pick-to-Light system designed explicitly for light-guided order picking applications. Smart LED strips mount directly to rack shelf profiles and are managed by the control software layer.
- Up to 50% improvement in order picking times.
- Significant reduction in operator reaction time and increase in pick accuracy.
- Flexible, software-defined location mapping.
- Native integration within TARO MFC and RINGS MFC systems.
Miggra Mobile Picker (MMP)
Miggra Mobile Picker is an enterprise-grade industrial software application enabling mobile order picking, location mapping, inventory cycle counting, and stock management.
- Mobile-first UI/UX design.
- Native Android compatibility.
- Intuitive operator workflows.
- Industrial-grade operational reliability.
Streamline Your Warehouse and Intra-Logistics Workflows into a Unified System
Integrate autonomous mobile robots, pick-to-light systems, and verification stations directly with your existing ERP and WMS infrastructure. Let’s engineer a tailored solution architecture for your facility to identify bottlenecks, optimize throughput, and evaluate ROI.