OMNI Platform Suite
Internal dashboard for supply chain, order management, and content management
Problem
Managing over 25 brands across 3 countries with disparate systems for inventory, orders, and content. Need for unified platform to handle complex cross-border e-commerce operations.
Solution
Built all-in-one platform using NextJS, TypeScript, and Tailwind CSS with component reusability across brands. Integrated supply chain, order management, CMS, and promo activation systems.
Impact & Metrics
₱1,650,000+
Revenue from in-house ecommerce alone
over 2,000
Customers managed
over 90
Monthly transactions
Technical Highlights
- • Enterprise platform managing over 25 consumer goods/home furnishing brands across Philippines, Singapore, and Malaysia
- • Processed over ₱1,650,000 in total revenue from in-house ecommerce platforms alone with over 2,000 customers and over 90 monthly transactions
- • Robust inventory and warehouse management system with more than 2 years of continuous operation
Technology Stack
TypeScriptNextJSReactTailwind CSSTanstackShadCNSST
Project Gallery
HRIS Employee Management System
Company-wide employee management system replacing legacy C#/jQuery system
Problem
Legacy C#/jQuery system. HR and accounting teams struggling with some regular workflows (such as payroll calculation and timekeeping) for 550+ employees due to lack of automation in the system.
Solution
Complete system modernization using TypeScript, NextJS, and PostgreSQL. Designed production-ready architecture with intuitive UI/UX and automated workflows for multiple departments.
Technical Highlights
- • Modern stack upgrade from C# backend + jQuery to TypeScript + modern frontend
- • Improved user experience with intuitive, visually appealing interface
- • Process automation for HR, accounting, and department managers
- • End-to-end architecture designed for growing organization
- • Database design for complex employee data relationships
Technology Stack
TypeScriptNextJSPrismaPostgreSQLSSTShadCNTanstack
ChAI - Customer Success AI Integration
AI assistant that generates responses based on company documents, streamlining customer success team workflow
Problem
Customer success team spending excessive time on routine inquiries. Need for automation to handle repetitive queries while maintaining quality and accuracy.
Solution
AI-powered assistant using document-based response generation. Integrated with existing workflows and optimized for routine product inquiries, stock availability, and how-to questions.
Impact & Metrics
12,000+
Customer queries processed
60%
AI response acceptance rate
217 hours
Team time saved (27 work days)
89%
Time reduction per ticket
Technical Highlights
- • Early AI adoption in customer service workflow
- • Document-based response generation
- • Performance optimization through data analysis
- • Measurable efficiency gains with 60% prompt acceptance rate
Technology Stack
NextJSPythonFastAPIOpenAI SDKLangchainTypeScript