Building a Better ERP Architecture to Support Machine Learning

Users and developers agree on one thing in relation to enterprise resource planning (ERP) software: it’s boring.

For users, ERP means a lot of data entry added to their daily workload. While ERP is becoming more sophisticated with support for mobile devices and cloud functionality now commonplace, most users would prefer to use systems that are quicker and more responsive.

Developers can see this is a pain point and are trying to innovate past it, but that’s not always possible with the kind of monolithic architecture that can be found in contemporary ERP installations. ERP is a challenge to developers because ERP systems communicate with so many other systems on the network and each ERP installation is so massively configurable. Each individual instance of an ERP can feel like a unique piece of software in itself.

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