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MyExobrain

Supply Chain AI AgentAgentic AIDecision IntelligenceInventory OptimizationSmart ProcurementAPSERP
About

MyExobrain is a Supply Chain AI agent platform developed by DFYA, focused on automating and optimizing operational decisions across procurement, inventory, distribution and logistics. The company positions its product as a turnkey SaaS platform for AI-powered supply chain decisions, with use cases including alternate material procurement, express procurement, partial procurement, smart recommendations and real-time risk detection.

The company should be read through its two creators: Amine BENMESBAH and Arnaud Morvan. Their combined background links enterprise software, applied AI and supply chain transformation, with public profiles and company sources associating them with MyExobrain, DFYA, Aera Technology, SAP, Accenture and supply chain education.

For the Radar ecosystem, MyExobrain sits in the emerging layer between classical APS, operational execution systems and AI-enabled decision support. Its value proposition is not only automation, but the ability to give teams clear context, traceable one-click decisions, stakeholder alignment and accessible decision memory.

The platform is especially relevant for organizations exploring Agentic AI in operational environments where planners still depend heavily on Excel, manual reporting and fragmented workflows. Its focus on procurement, stock availability, distribution and execution responsiveness makes it relevant for Supply Chain Planning, Inventory Optimization and short-term operational control.

Dataleo perspective

MyExobrain is a strong example of the new “AI middle layer” emerging around supply chain execution: tools that do not necessarily replace ERP or APS, but help teams convert fragmented data, business rules and exceptions into governed operational decisions.

The emphasis on the two creators, Amine BENMESBAH and Arnaud Morvan, matters because this category depends heavily on domain credibility. In agentic supply chain, trust will come less from generic AI claims and more from practical knowledge of planning processes, exception management, decision governance and enterprise adoption.

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