We develop innovative digital solutions that enhance Software Development, Cloud & DevOps etc.
We develop innovative digital solutions that enhance Software Development, Cloud & DevOps etc.
End-to-End Visibility
Demand Forecast
Vendor Sync
Engineered to scale from high-growth SMEs to global conglomerates.
Predictive decision engines and autonomous workflows across all silos.
Seamless data handshake between production, finance, and supply chain.
Unified audit trails and immutable data logs for 100% fiscal integrity.
Seamlessly integrates with your enterprise ecosystem:
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Strategic sourcing and automated purchase triggers linked to real-time inventory and production demand.
Automated scorecards for tracking supplier quality, on-time delivery rates, and pricing variance.
Multi-location stock tracking with batch/serial traceability and sub-second reconciliation.
Comprehensive management of pick-pack-ship cycles, bin tracking, and mobile warehouse scanning.
Integrated tracking of outward shipments, carrier performance, and real-time freight cost management.
AI-driven predictive analytics to optimize inventory levels based on historical sales and seasonal trends.
Synchronize multi-channel orders with intelligent routing to the optimal fulfillment center.
Manage external job-work cycles with real-time tracking of raw-materials at vendor sites.
Mandatory QC checkpoints at every stage of the supply chain—from GRN to final dispatch.
Automated accounts payable, landed-cost roll-ups, and granular visibility into landed margins.
Modern supply chains are races against time and cost. RexoERP provides the unified digital core needed to manage complex multi-tier networks while ensuring absolute data integrity.
Shorten fulfillment cycles by 25% through optimized logistics and demand alignment.
Maintain a 98% in-full-on-time (IFOT) delivery rate with predictive vendor alerts.
RexoERP integrates advanced machine learning and autonomous logic to transform static data into high-fidelity strategic intelligence.
Autonomous layout planning to minimize picker travel time based on velocity analysis.
Machine learning models that predict arrival dates based on carrier performance and traffic data.
Automated risk analysis and performance scoring to optimize procurement decisions.