SmartAdmin

AI-Assisted Workflow Automation for uParcel

SmartAdmin is a capstone project that combines retrieval-augmented generation, large language models and browser-based automation to safely execute delivery modification workflows in uParcel’s logistics environment, with human-in-the-loop control and full auditability.

View Full Capstone Docs View Project Poster

Project Demo

Walkthrough of the SmartAdmin architecture, RAG–LLM interpretation flow, approval dashboard and Playwright-based automation on the uParcel staging portal.

Project Overview

Problem Context

uParcel’s delivery modification tasks such as address changes, remark updates and urgency adjustments are currently handled through manual interaction with browser-based admin portals, which is time-consuming and error-prone when volumes scale.

SmartAdmin investigates whether an instruction-centric architecture using retrieval-augmented generation and large language models can interpret natural-language modification requests and translate them into structured action plans suitable for safe automation.

System Concept

The system captures agent requests, retrieves relevant SOP fragments from a LanceDB-based knowledge base, and uses an LLM to generate JSON action schemas that describe the intended changes at a structured level. These actions are validated, gated by role-based policies and then executed via Playwright scripts on uParcel’s staging admin portal.

SmartAdmin System Architecture Diagram

Research Objectives

The capstone is structured around three core research questions that guide the design and evaluation of SmartAdmin.

View Detailed Results & Charts