Our Solution
Lead Capture App An offline-first PWA that stores data locally and auto-syncs to the marketing system on reconnection.
Lead Management App A dashboard turning lead data into actionable insights on conversions, distributor performance, routing, and ROI.
The Lead Capture Application
Offline-First Connectivity
Leads captured offline auto-sync to the marketing automation tool on reconnection, with real-time status indicators.
Cloud-Synced Favourites
Favourites sync across devices via SSO and are locally cached, so no booth setup delays.
The Lead Management Application
Personalised Dashboarding
Our team designed and proposed a comprehensive dashboard module for the Lead Management Application to support data-driven decision-making across Infineon's Lead distribution ecosystem.
Personalised Views
Role-specific views tailored to Admins, Sales Managers, and Business Partners. Each personalised view reflects distinct workflows to address data overload.
Generative UI
Generative UI allows interactive data exploration with adjustable time granularity, shareable saved views, and role-based data guardrails for deeper, flexible analysis.
Design Flow
Leads are captured during trade shows
Leads captured are synced and processed through an automated routing matrix
Serves as a platform for end-to-end distribution of leads to external business partners
Manage distribution of leads to extrernal business partners
System Architecture
Lead Capture Application System Architecture
Lead Management Application System Architecture
Tech Stack
Our application uses a modern JavaScript stack with a React frontend, Express backend, and PostgreSQL (with SQLite locally) via Sequelize, enabling scalable, role-based workflows across Lead Capture and the Dashboard. It supports offline capture with IndexedDB, runs on GCP Cloud Run for serverless scaling, and integrates the OpenAI API for natural language insights for the dashboard.
Acknowledgements
We would like to express our sincere gratitude to everyone who contributed to the successful completion of this project. We are especially thankful to our company mentors: Cynthia, Pamela and Keerthana and our capstone professors: Prof. Perry and Prof. Franklin for their guidance, valuable insights, and continuous support throughout this project. Their collective contributions have been instrumental in shaping the quality and depth of this work.
