Engineering knowledge learned by trained AI models significantly reduce manual engineering interventions.
Built-in collaboration enables seamless workflow between the suppliers and engineers to answer technical queries in a single source system.
Natural language processing (NLP) and contextual understanding ensures that users simply upload a document to create data automatically.
We have created an entirely new genre called ELP which enables Rudy to be document or template agnostic.
No changes in the client’s process or templates are used nor changes needed in supplier response templates.
Rudy uses micro AI to convert documents into actionable information and delivers it in easily understandable formats like lists, ranks and scores, infographics, summary extracts or API outputs.
Rudy understands the context and document types, and then reads, analyzes and summarizes the information.
Rudy compares the document with client defined or industry defined standards. Rudy has been trained on these standards by industry experts to build extensive models.
Rudy ranks and scores the documents based on the context and document type. The output can be presented as either a scored list, summary extracts or infographics.
Listing and categorizing client requirements across work streams.
Proposing core engineering design and list of hard and soft resources for the project.
Material Requests and Engineering Drawings are read to understand the technical requirements and ensure the engineering requirements are met.
Comparing and Evaluating the MR responses against industry standards to select vendors.
Commercial Comparison of recommended vendors and negotiation
Finalizing contracts and releasing purchase orders to selected vendors.
Finalizing contracts and releasing purchase orders to selected vendors
Rudy provides automation and collaboration features that highlight the discrepancies in supplier responses and engineering drawings, while serving as a singular source platform to capture resolutions for all issues and discussions across all stakeholders. Rudy provides the following core modules :
Engineers can upload material requisitions and supplier technical responses. Rudy will compare them to highlight discrepancies.
Technical requirements, data sheets, MR packages, supplier offers and other relevant technical documents can be uploaded and stored in RUDY.
Every discrepancy will trigger an automated workflow to the right stakeholder to resolve the issues. This can be triggered manually as well.
Rudy provides client configurable Key performance indicators (KPIs) and analytics. It comes with built in Application Programming Interface (APIs) and web services to feed data to corporate wide data warehouses.
Global search function searches context sensitive information that is very comprehensive and referenceable.