We develop innovative digital solutions that enhance Software Development, Cloud & DevOps etc.
We develop innovative digital solutions that enhance Software Development, Cloud & DevOps etc.
Compliance Ready
Multi-Level Logic
Granular Tracking
Tailored workflows built for your unique industrial attributes and constraints.
Accelerate throughput with real-time WIP monitoring and bottleneck detection.
Hyper-localized tax engines and global trade standards built into the core.
High-fidelity executive dashboards for 100% supply chain transparency.
Seamlessly integrates with your industrial business ecosystem:
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Manage complex assemblies and sub-assemblies with deep-nested Bill of Materials (BOM) control.
Unique identification for every single unit produced or sold, enabling perfect traceability.
SMD and micro-component tracking with automated reorder triggers for long-lead items.
Rigorous testing protocols for PCB, electrical components, and final assembly burn-in tests.
Automatic tracking of warranty periods, serial-wise service history, and replacement logistics.
Constraint-based MRP to optimize clean-room assembly lines and workstation throughput.
Built-in tracking for RoHs, WEEE, and other global environmental electronics standards.
Helpdesk and ticketing integration for technical support, repairs, and AMC management.
Smart sourcing logic to handle global component lead times and price fluctuations.
Project-wise costing and deep visibility into R&D spends vs. production margins.
Electronics manufacturing requires a fine balance between innovation speed and operational precision. RexoERP provides the unified digital framework needed to scale from prototype to mass production effortlessly.
Shorten the gap between R&D designs and factory production runs.
Protect your sensitive intellectual property and engineering designs.
RexoERP integrates advanced machine learning and autonomous logic to transform static data into high-fidelity strategic intelligence.
Autonomous visual inspection sensors that identify microscopic defects in real-time.
Machine learning models that anticipate mechanical failures before they impact production.
Optimizing individual workstation loads through smart industrial intelligence flow.