SBIR/STTR Award attributes
Legacy ERP systems support a very broad range of business operations and present challenges to their modernization. The addition or customization of modern AI/ML and embedded device methodologies to these systems is often difficult or impossible to accomplish. Here, we propose a microservices solution for bridging legacy ERP systems to future operations. We outline a strategy to develop a Proof of Concept (PoC) application and UI/UX by heavily incorporating our previous works. We present a solution that supports the use of microservices to modernize legacy ERP systems and outline an architecture that may be utilized as the basis for modernizing many various legacy ERP systems. The architecture is composed of components that lead to "deep relation-linking" in a graph database to support advanced AI/ML analysis, including Mission Based Forecasting (MBF). We also present an outline and plan to develop a modern Android mobile client with a flat learning curve. The results of this proposal will yield a Proof of Concept (PoC) and prototype that is available for external evaluation and validation. Although the current proposal is limited to a single use case, we also outline the next steps for advancing the project towards a fielding solution.
