novoElementum's in-house developed system architecture has the potential to revolutionize the manufacturing and retail sectors with minimal investment from process owners. Commercial potential not only resides in savings alone but also in the potential to obviate other major costs associated with alternative approaches. This is achieved by focusing on de-bottlenecking and optimizing supply chain process flows. Challenges span from pinpointing real-time sub-optimal production assembly lines to reporting of low inventory stock levels. This entails integrating tracking of inventory flows via sensor networks and mature deep learning derived analytics.

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