Digital transformation for materials

Materials are fundamental to so many products and so many industries with massive economic volumes. They are at the heart of R&D, manufacturing, supply chain and even sales. And yet, it would seem that digital transformation for materials has yet to emerge en-mass.

The challenge with materials data per R&D, scale-up, manufacturing, supply chain, sales or any other aspect of the operations is that materials data is complex, multidimensional and hierarchical. In addition, in many cases, even to arrive at meaningful numbers, some materials science calculations and algorithms need to be applied.

As such it is difficult to capture materials data digitally and then difficult to allow for easy AI/ML insights and/or data-driven algorithms that would deliver process optimization. MaterialsZone, the Materials Informatics Platform (MIP), solves all that.

One might argue that ERP systems already digitally capture products and materials in the supply chain. However, this data might be very flat capturing only catalog numbers and some high level descriptions but it certainly lacks materials science depth connected to real measurements, physical and chemical attributes and recording formulations, preparation processes, scientific protocols, manufacturing quality parameters, etc.

ERP systems also do not cover R&D and do not support new materials and formulations discovery like MateralsZone’s Materials Informatics Platform (MIP). In fact, R&D considerations are also fundamental to manufacturing scale-up, manufacturing QC, finding new supply chain alternatives and responding rapidly to new customer and market requirements. So, absent that depth, an ERP cannot really offer digital transformation for materials oriented companies like a Materials Informatics Platform (MIP) can.

MaterialsZone for digital transformation for materials

  • Automatically harvests materials data, applies necessary calculations and builds an AI/ML ready data model.
  • Supports sophisticated multidimensional and hierarchical data models.
  • Easy to cooperate and share data between R&D, manufacturing and other stakeholders.
  • Easy application of AI/ML visualizations, insights and predictions.
  • One platform, all the data, all the insights, all the stakeholders (R&D, scale-up, manufacturing QC, supply chain alternatives selection).

All the above attributes allow MaterialsZone to digitally transform all operational aspects related to materials. It is also built such that real stakeholders in real companies can continuously use and benefit from this organizational platform.

Other MaterialsZone solutions include:

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