DataLeo is an independent advisory company focused on Supply Chain Planning, S&OP, APS transformation and the practical adoption of AI in operational decision-making. The company works with mid-sized and large organizations seeking to structure, secure or transform their planning processes.
Its positioning covers Sales and Operations Planning, IBP, demand planning, supply planning, APS selection and planning operating models. DataLeo also examines how lightweight AI tools and business-built applications should coexist with ERP, APS, BI and enterprise data platforms.
DataLeo’s work emphasizes decision framing before technology selection: identifying the decision to improve, the data required, the owner of the business logic and the operational consequences of an incorrect recommendation. This makes the company relevant to organizations developing AI Decision Apps, planner copilots or controlled prototypes around existing planning environments.
The company was founded by Jean-François Nordmann, whose public profile combines Supply Chain planning, S&OP, APS and AI advisory experience.
DataLeo is relevant to the Radar ecosystem as a specialist service provider operating between planning transformation and AI Governance. Its scope reflects a growing enterprise need: enabling business teams to experiment with AI without creating unmanaged decision logic, duplicated data or a new layer of shadow IT.
The practical issue is not whether a team can build an AI-enabled planning tool, but whether that tool should remain lightweight, be integrated into an APS, ERP or BI environment, or be stopped. This requires controlled prototyping, version management, clear ownership, human override and an explicit industrialization route.
Around DataLeo (12)
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