OMMM builds planning optimization software for batch-heavy industries (food, pharma, FMCG, cosmetics) as an ERP add-on. The stack is legacy-adjacent (SQL Server, SAP, C#, Visual Basic) — typical for enterprise sales — but the hiring acceleration (7 roles in 30 days across sales, ops, and engineering) and explicit focus on real-time planning and AI-driven optimization suggest a transition from static scheduling modules toward dynamic, AI-native features. Pain points center on long sales cycles and complex stakeholder navigation, consistent with enterprise supply-chain sales.
OMMM Operations Management Solutions GmbH is a German software company founded in 2019, headquartered in Leverkusen. The company specializes in AI-powered production planning and supply-chain optimization, targeting mid-market manufacturers with batch-processing operations. The product integrates into existing ERP systems (primarily SAP) as an add-on, offering modules for Advanced Production Scheduling (APS), demand forecasting, sales planning, and inventory optimization. The platform targets operational cost reduction, sustainability, planning flexibility, and on-time delivery improvement. Active development spans real-time production planning, customer implementations, and industry event presence. The organization is 2–10 people, currently hiring across sales, operations, and engineering in Germany.
Primary stack: SQL, SQL Server, SAP, C# and Visual Basic. These are foundational for enterprise ERP integrations. No emerging AI/ML frameworks listed in adoption data.
Food, FMCG, cosmetics, and pharmaceutical manufacturing — specifically batch-processing operations with complex production planning. The platform is tailored to their scheduling and demand forecasting complexity.
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