AIVHY’s BOS – one Digital Ecosystem for production & logistics
The operational challenge: Industrial companies typically rely on multiple off-the-shelf systems such as ERP, MES, WMS, and QMS. While these systems support individual functions, end-to-end operational processes still depend on manual coordination, spreadsheets, email, and workarounds— especially across departments and external partners.
Process-first digitalization: AIVHY’s approach puts processes back in the lead. Rather than forcing businesses to adapt to rigid systems, AIVHY defines the optimal end-to-end operational process together with the organization. This process is then digitized and orchestrated across existing machines, systems, and people.
AIVHY’s BOS connects what you already have and adds what is missing
AIVHY’s BOS acts as a digitalization layer over existing assets and systems. BOS connects them into a single Digital Ecosystem that supports real-time execution, control, and continuous improvement. BOS connects, not replaces.
Core components
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Machine & asset integration – AIVHY connects both modern and legacy machines, production lines, and assets, and makes real-time data directly usable for control, quality, and maintenance.
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Shop floor & existing IT integration – AIVHY connects shop floor processes with systems such as ERP, MES, WMS, QMS, financial software, and cloud services, so handovers run automatically and you can see order status in real time.
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BAS (Business Administration Solution) – AIVHY turns manual and paper-based processes into digital workflows. This automates planning, quality checks, and inventory management, and provides real-time insight for better decisions.
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Operational vision solutions – Using cameras and AI, AIVHY recognizes products, labels, assets, and deviations. This enables automated quality checks, checklists, and proof (e.g., photos) per batch or shipment, making traceability and auditing easier.
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AI & LLMs for industry – AIVHY uses AI and LLMs to make industrial processes smarter and more efficient. This can be deployed locally or in the cloud, securely connected to your existing systems. It provides one central place for AI-supported control and insight.