Problem
E-commerce brand management is plagued by extreme operational fragmentation. Agencies and brand managers waste hours copying data across multiple vendor portals, manually calculating ad performance, conducting tedious SEO listing audits, and formatting client reports. This manual overhead limits client capacity, increases the risk of human error, and keeps performance insights locked in static, delayed reports.
Approach
I designed and engineered a full-stack, local-first ecosystem divided into three core layers:
1. High-Fidelity Client-Acquisition Frontend: Built a premium marketing website featuring interactive widgets (Growth Calculator, CRO Performance Simulator, and Listing Audit Scanner) to qualify leads dynamically.
2. Local Workflow App: Developed a desktop-packaged local application using Streamlit and SQLite to securely store client data locally, eliminating third-party cloud database costs and ensuring strict data privacy.
3. Marketplace API Integration & Automations: Implemented secure OAuth token flows for leading e-commerce seller and advertising APIs, caching access tokens to sync real-time sales and advertising metrics. Created 21 automated skills that auto-generate branded client reports, track competitors, watch inventory levels, and optimize ad campaign structures.
Outcome
The platform successfully automated the entire lifecycle of client management and reporting. By establishing direct API syncing with major retail marketplaces, it reduced client onboarding and monthly report preparation times by over 80%. The interactive widgets on the frontend site transformed static sales pitches into interactive, data-driven simulations, substantially increasing lead capture rates.
