Analytique de fabrication en direct SaaS avec importations SCADA, OEE, temps d'arrêt et analyse ML, y compris le code source, le domaine et la pile de déploiement.
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The described business is a manufacturing operations intelligence platform that transforms production line and SCADA data into insightful performance analytics. The platform is designed for the manufacturing industry, focusing on automotive and pharmaceutical sectors, and utilizes machine learning (Random Forest models) for improved production insights. It offers a rich feature set including downtime pattern identification, OEE evaluation, cycle time monitoring, defect analysis, and machine performance assessment. Users can work with Excel-imported SCADA data and synthetic demo datasets to explore functionalities without live factory connections. Technologically, it employs a modern stack with React, TypeScript, Node.js, Python, and Docker, ensuring maintainability and scalability.
The business model is subscription-based, targeting manufacturers, production managers, and consulting firms. While it currently has no revenue or paying customers, it is marketed for its solid software foundation and commercial potential rather than current earnings. Presently, operational costs include essential hosting and domain maintenance, with growth opportunities in subscription plans, industry-specific configurations, and partnerships with maintenance providers.
The sale includes the domain, source code, branding, and documentation. Excluded are personal accounts and non-transferable third-party subscriptions. This opportunity is positioned as a robust fit for industrial companies or consultants looking for a ready-to-use vertical SaaS platform rather than developing one from scratch. Growth could be driven through new subscription models, expanded features, and strategic partnerships.