Automated brownfield rollouts accelerate the global digital transformation of manufacturing
A standardized data infrastructure blueprint forms the basis for extremely fast cloud connectivity of existing manufacturing sites worldwide. By automating connectivity, companies succeed in digitizing entire brownfield factories on a monthly basis and making heterogeneous machine data usable for advanced analytics and AI applications.
Performance metrics
Annual savings of €2.6 million through optimized processes and company-wide data availability 60% reduction in infrastructure costs compared to traditional, manual integration methods Sustainable reduction in energy consumption by 5% through precise digital monitoring and central management Automated connectivity of 100 to 150 machines per site to cloud platforms such as Azure and Databricks
Overview
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Use case in detail
Inefficient data silos in legacy factory structures
Digitalization in the FMCG sector often fails due to the complexity of historically grown brownfield environments. Heterogeneous machine fleets with outdated interfaces and proprietary protocols make manual data extraction extremely time-consuming and costly. Without a scalable connectivity solution, these technological hurdles stall the rollout of global digital strategies and prevent the use of modern AI applications and predictive maintenance models in ongoing production.
Automated connectivity as a scalable blueprint
By using industrial connectware as a universal abstraction layer, machines of various generations are seamlessly integrated. The software automates the connection of up to 150 assets per site and forwards the normalized data directly to the cloud infrastructure and analysis tools. This standardized approach enables internal teams to open up new factories independently and integrate them into the global data structure without external dependencies.
Scalable data basis for artificial intelligence and efficiency
The automated rollout transforms global production into a data-driven ecosystem with an immediate measurable ROI. In addition to massive cost savings, companies benefit from a drastically shortened time-to-value for AI projects and predictive maintenance. The resulting data transparency also forms the basis for specialized solutions such as OEE monitoring and energy management blueprints, raising operational excellence and sustainability goals to a new level in the long term.
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