Palcode.ai
Construction TechnologyThe Challenge
Palcode.ai struggled with manual vendor outreach that required 3 full-time employees making 200+ calls daily. Response rates were below 15%, and bid collection took an average of 2 weeks per project, causing significant delays in construction timelines.
The Solution
I implemented an AI-powered voice outreach system using GPT-4, Twilio, and ElevenLabs, combined with automated BID extraction and Kubernetes-orchestrated microservices, resulting in a 70% reduction in vendor follow-up time and 340% increase in response rates.
Measurable Results
Real numbers from a real project. Here's exactly what changed after implementation.
Vendor Response Rate
Follow-up Time
Monthly Calls Handled
Staff Required
Before vs. After
Drag the slider to see the transformation
Manual spreadsheet tracking vs. Real-time AI dashboard
Overview
Built a complex multi-role SaaS platform for Palcode.ai that automates vendor calling, bidding, and document handling. The system architecture leverages FastAPI for high-performance API endpoints and AWS for scalable infrastructure. We integrated Twilio and ElevenLabs for automated AI-driven voice outreach, allowing the system to handle thousands of vendor calls simultaneously. The BID extraction engine uses GPT-4 to intelligently parse incoming proposals, extracting key data points and populating the database automatically. This centralized workflow significantly reduced manual overhead for the construction management team, allowing them to focus on decision-making rather than data entry.
Key Features
"Dhanraj transformed our entire vendor outreach process. What used to take weeks now happens in days, and our response rates have more than tripled."