Transform complex multi-client operations into streamlined efficiency engines with AI-driven orchestration and real-time visibility
Transform complex multi-client operations into streamlined efficiency engines with AI-driven orchestration and real-time visibility
Gate chaos, idle fleets, and low visibility create a perfect storm of inefficiency in multi-client logistics.
Uncoordinated vehicle arrivals create bottlenecks at entry gates, leading to wasted time, increased costs, and frustrated drivers.
Inefficient dock allocation leads to trucks queuing idle, increasing costs and lowering overall fleet productivity.
Order mix-ups trigger shipment delays and customer dissatisfaction, harming brand loyalty and operational efficiency.
Client demands for speed and accuracy overwhelm legacy systems, causing slower processing and reduced output.
Poor space utilization and misplaced inventory slow down picking, increase costs, and limit warehouse capacity.
Manual load assignments leave truck space underused, driving up operational costs and lowering overall efficiency.
Lack of live data across all clients causes blind spots, delays, and missed issues in multi-client operations.
Custom client requirements and strict SLAs add layers of administrative overhead and risk to logistics operations.
Driving measurable improvements across supply chain operations and multi-modal logistics.
Faster cycle from inbound to dock-out.
Transformational results.
Thinking transportation management system.
AI assigns loads based on warehouse space, asset type, and trip priority.
Live alerts, auto-trip logs, and ML-backed performance recommendations.
JARVIS learns from production trends and dynamically generates dispatch and procurement plans.
CORTEX carries out agentic orchestration of gate-ins, dock allocations, and transport assignments.