Mass Céréales: Building the AI Control Room for Port Operations
Mirage Metrics is deploying an AI operational layer across Mass Céréales Al Maghreb's terminals in Casablanca and Jorf Lasfar, connecting industrial infrastructure, logistics workflows, enterprise systems and operational documents.
About Mass Céréales Al Maghreb
Mass Céréales Al Maghreb operates critical port infrastructure across Casablanca and Jorf Lasfar. Mirage Metrics is deploying an AI operational layer across both terminals, connecting physical operations, industrial systems, enterprise software and operational documents into one control environment.
A terminal's information lives in many places at once: in its industrial equipment, its supervision and weighing systems, its business applications and the documents every operation produces. The deployment sits on top of that infrastructure rather than replacing it. It pulls the fragmented information together into a single view that operators and management use to understand what is happening across the terminals.
One operational layer across the terminal
Physical operations generate data across industrial equipment, enterprise software and documents. Mirage connects these sources into a single environment built for operators and management.
The AI Control Room is a common operational layer for the two terminals. Its purpose is to connect the physical terminal with the software used to run it.
- Vessel and terminal operations
- Storage and inventory
- Internal logistics and evacuation flows
- Weighing and movement data
- Operational KPIs
- Exceptions and alerts
- Historical operating data
AI agents connected to live operations
Agents sit on top of operational and historical data, so teams can question the operation directly.
Instead of moving between systems, files and reports by hand, users ask about operations, stocks, vessels, historical activity and performance indicators from one environment. The agents reason across operational data, movements, documents and history, which gives teams a faster way to understand what is happening and act on it.
They are built around the real workflows of port operations, not a generic chatbot placed next to existing software.
Document intelligence built into operations
Port operations generate a continuous stream of operational documents. Here they become another live data source for the control room.
- Reading operational documents
- Extracting structured information
- Reconciling documents with operational data
- Generating recurring operational reports
- Making the document base searchable through AI
- Summarising historical records
Documents are read, structured, reconciled and made searchable alongside live terminal data, instead of sitting in a separate archive.
Software connected to the physical world
The system interfaces with industrial equipment, weighing infrastructure, supervision systems and enterprise applications. The result is one intelligence layer spanning hardware, software and the people running the operation.
- VesselThe cargo arriving at the terminal.
- Terminal infrastructureConveyors, storage and the internal flows that move the cargo on.
- Industrial systemsTerminal automation, supervision systems and weighbridges.
- Enterprise systemsBusiness applications, Microsoft Dynamics, operational documents and internal repositories.
- AI control roomMirageOne layer connecting all of them, with AI agents and document intelligence on top.
- Operators and managementOne view of what is happening across both terminals.
That link to the physical operation is what separates this deployment from enterprise AI that only sees the software.
Deployed into the existing environment
The platform is built to integrate with the infrastructure already running the terminal, without forcing the replacement of core operational systems.
It is an enterprise-grade deployment inside Mass Céréales Al Maghreb's own operational environment, designed to work with what is in place rather than as a rip-and-replace transformation.
The project follows an embedded deployment model. It starts from the client's actual data, systems, processes and operational constraints, then moves step by step through configuration, integrations, testing, user training and production rollout. The system becomes more capable as it absorbs operational context.
Why it matters
Mirage Metrics is building the AI operating layer between physical infrastructure, enterprise systems and the people running critical logistics operations. At Mass Céréales Al Maghreb, that layer spans two port terminals.
The same approach applies wherever a physical operation runs on systems that do not talk to each other: ports, logistics, mining, industrial sites and infrastructure. Deploy inside the live operation, connect to what already runs it, and build the control layer around the real workflows.
Questions about this deployment
What is Mirage Metrics deploying at Mass Céréales Al Maghreb?
An AI operational layer across its two port terminals, in Casablanca and Jorf Lasfar: an AI control room, AI agents on operational and historical data, and a document intelligence layer, connected to the industrial equipment, supervision and weighing systems, business applications and documents already in place.
Who is Mass Céréales Al Maghreb?
The operator of grain port terminals in Casablanca and Jorf Lasfar, in Morocco.
Does it replace the terminals' existing systems?
No. The platform is deployed inside the client's own operational environment and sits on top of the existing infrastructure. It is designed to work with the systems already running the terminals, not to replace them.
What can the AI agents answer?
Questions about operations, stocks, vessels, historical activity and performance indicators, asked from one environment instead of moving between systems, files and reports by hand.
What does the document intelligence layer do?
It reads operational documents, extracts structured information, reconciles documents with operational data, generates recurring operational reports, makes the document base searchable and produces summaries from historical records.
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