Client Project/Construction Procurement
Turn BIM Model Data into RFQs, Supplier Outreach, and Procurement Decisions in One Workspace
An AI-powered sourcing workspace that turns BIM elements into RFQs, supplier outreach, and procurement decisions from one operating flow.
United States
AI Procurement Workflows, RFQ Automation, Autodesk Platform Services
About the Project
Watson is an AI-powered sourcing studio built for technical and commercial procurement teams that work across BIM-heavy projects. The platform combines a conversational sourcing assistant, supplier workflows, RFQ management, and browser-based digital twins in one interface.
From the home screen, users can start with typed requirements, file attachments, or voice input. Inside the digital twin workspace, teams can upload BIM files or connect Autodesk workflows, review translated models in-browser, inspect individual elements, and push grouped items directly into procurement workflows.
That flow continues into RFQ drafting, supplier selection, and quote evaluation. The result is a single operational layer for moving from model context to sourcing action without relying on disconnected spreadsheets, inboxes, and viewer tools.
Challenges We Faced
1. Translating BIM data into procurement language
Model properties are useful for design coordination, but they are rarely ready for supplier outreach. The product needed a reliable way to convert element-level BIM data into structured procurement fields, quantities, and RFQ-ready line items.
2. Keeping digital twin review and sourcing in one flow
Most teams inspect models in one tool and handle procurement in another. Watson needed a linked experience where selected elements, grouped quantities, and contextual properties could move directly from the viewer into sourcing workflows.
3. Orchestrating AI, suppliers, and follow-up without losing control
The system had to support supplier discovery, quote requests, AI-generated drafts, and proposal comparison while still giving teams a clear record of what was sent, to whom, and which offer was accepted.
How We Solved It
Built a conversational sourcing entry point that accepts product descriptions, attachments, and voice input for technical procurement requests.
Integrated Autodesk Platform Services so teams can upload BIM files, translate models, and inspect digital twins directly in the browser.
Created an element-level sourcing flow where selected BIM objects are grouped, added to an RFQ cart, and passed into structured procurement forms.
Layered in AI workflows for category detection, supplier discovery, email drafting, voice-based supplier outreach, and proposal comparison.
Project Screenshots
Results Delivered
Built a procurement studio where teams can move from model review to RFQ creation, supplier communication, and offer acceptance inside one connected workflow.
AI Assistant
RFQ Summary
Digital Twins
Suppliers
Technologies We Used
Next JSReactFirebaseAutodesk Platform ServicesGenkit AITwilio
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