The objective of the UglyTruck AI Deal Automation Platform was to streamline and scale the truck buying and resale process by introducing an AI powered automation layer over existing QuickBase workflows.
The platform was designed to:

• Automatically identify unsold truck opportunities from historical deal data
• Re engage sellers via email and SMS without manual follow ups
• Interpret seller responses using NLP to assess availability, intent, and image quality
• Provide AI assisted pricing recommendations using proprietary ScrapGo Index data
• Generate marketing assets and facilitate buyer bidding workflows
• Reduce deal cycle time while keeping human control over negotiations

The solution enables semi automated deal execution with strong human in the loop governance, improving efficiency without compromising pricing or compliance.

It is an in-venue restaurant ordering system that allows customers to pre-order food for on-table delivery or pickup, eliminating the need to wait in long queues. The system will consist of a mobile application for customers and a web-based backend for restaurant management.

This project focused on creating mapping reports to highlight geographic and linguistic disparities in OB/GYN service availability across Kansas. The objective was to provide visual evidence for healthcare researchers and policymakers to better understand provider distribution, identify underserved regions, and highlight language access barriers for Hispanic populations. The deliverables included static maps of provider clusters, Spanish-speaking access segmentation, and a custom symbolic visual to humanize the access challenge.