Modern enterprises struggle with inefficient manual document processing, leading to productivity losses and compliance risks. In this research , we introduce the creation of an archival and retrieval of the document to an end endpoint by means of a ML driven pipeline. Specifically, we are merging these two components (ingest, pre_join, class) and (metadata generate and search) from NLP and Computer Vision.

Mainframe systems remain the backbone of critical industries such as banking, healthcare, and government, handling vast amounts of transactional data with unmatched reliability. However, traditional mainframe software delivery methods—often manual and sequential—lag behind modern DevOps practices, creating bottlenecks in agility, deployment speed, and innovation.

Hype r-automation, the strategic convergence of advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and the Internet of Things (IoT), is reshaping supply chain and quality management across industries. This paper examines the deployment and implications of Hyper-automation within the Consumer Packaged Goods (CPG) and Healthcare sectors, focusing on its influence on operational efficiency, quality control, and scalability.