Agentic AICubis Systems · Logistics
AI-Driven Planning Across a 140-Location Depot Network
−23% delivery lead time+31% fleet utilisation3 days → 45 minutes
Read case study →Logistics & Supply Chain
Intelligent Planning for Complex Networks
Multi-depot optimisation, demand-driven inventory and real-time re-routing — AI systems built for the operational complexity of modern supply chains.
See the use casesHow we work in Logistics & Supply Chain
From network complexity to optimised, automated planning
Network & Constraint Mapping
We model your depot network, fleet constraints, time windows, driver rules and demand patterns. Every operational constraint is documented before an optimisation engine is designed.
Planning Engine Development
We build and validate the optimisation or forecasting engine against your real historical cycles — measuring improvement against your current planning baseline before a single live cycle is touched.
Operations Integration & Go-Live
We integrate with your TMS, WMS or ERP and run parallel planning cycles. Once the AI planner consistently outperforms manual planning, we switch over — with full operator training and rollback capability.
Use Cases
Proven outcomes in your sector
Every case below represents a system in production — measurable results, real infrastructure.
Agentic AI
OptimisationCRH · Heavy Fleet
VRP Route Optimisation for Cement Silo Deliveries
Backhauling routesReal-time re-routingConstraint-aware scheduling
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Machine LearningB2B Supply Chain
Demand Forecasting and Cancellation Risk for OEM Supply Chains
Statistical noise filteringNet demand signalDynamic MRP adjustment
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Machine LearningInventory Management
Safety Stock and Reorder Point Optimisation by SKU
SKU-level reorder optimisationFill rate guaranteeWorking capital release
Read case study →Standards
Secure, accountable delivery.
Recognised standards for information security, quality management and responsible data protection.
ENS Alto
ISO 27001
ISO 9001
GDPRContact
Talk to MCCM about your AI roadmap.
Tell us what you want to improve. We will help you shape a practical route from strategy to production.