Cloud ERP platforms ought to produce a self-learning information system involving machine learning across all provider networks. A cloud-based infrastructure combined with core ERP net Services and apps give a gentle stream of knowledge to AI and machine learning algorithms that accelerates the training of entire system creating a better business ahead. Virtual agents have the potential to redefine several areas production operations, from pick-by-voice systems to advanced inspection. Apple's Siri, Amazon's Alexa, Google Voice, and Microsoft Cortana have the potential to be changed to contour operations tasks and processes, providing direction to complicated tasks. Design in the Internet of Things (IoT) support at the data structure level to realize quick wins as data collection pilots go live and scale.

Capitalizing on new digital business models and the growth opportunities they provide are forcing companies to re-evaluate ERP's role. Made inflexible by years of customization, legacy ERP systems aren't delivering what digital business models need today to scale and grow. Legacy ERP systems were purpose-built to excel at production consistency first at the expense of flexibility and responsiveness to customers' changing requirements. By taking a business case-based approach to integrating Artificial Intelligence (AI) and machine learning into their platforms, Cloud ERP providers can fill the gap legacy ERP systems can't. Companies need to be able to respond quickly to unexpected, unfamiliar and unforeseen dilemmas with smart decisions fast for new digital business models to succeed.