Portfolio/Utilities & Water Services

Electric Service Corporation

Intelligent Scheduling Platform

Intelligent Cistern Service Scheduling Platform

Next.js 14TypeScriptReact 18Tailwind CSS

The Challenge

Managing complex scheduling for cistern cleaning services across Puerto Rico, coordinating multiple technicians with different certifications and specializations for hundreds of commercial clients

Technical Solution

Built a comprehensive scheduling platform with automated assignment algorithms, technician certification tracking, and intelligent draft schedule generation that optimizes routes and workload distribution

Architecture Overview

Next.js full-stack application with Prisma ORM, Lucia Auth, intelligent scheduling algorithms, and SQLite/PostgreSQL database

Features & Implementation

Core functionality and technical innovations

Core Features

AI-powered draft schedule generation with optimization algorithms
Comprehensive technician management with certification tracking
Client service history and geographic organization
Role-based authentication with Lucia Auth
Advanced scheduling system with weekday/weekend logic
Excel export functionality for reporting
Lapsed certification alerts and compliance tracking
Multi-technician team assignment optimization

Technical Highlights

AI-powered scheduling algorithms
Certification tracking system
Geographic route optimization
Excel export functionality

Design & User Experience

Design Approach

Operations-focused design with calendar interfaces, technician management, and data-heavy dashboards optimized for scheduling efficiency

Design Principles

User-centered design

Performance optimization

Accessibility compliance

Responsive layouts

Development Process

Structured approach to building scalable solutions

Architecture & Planning

2 weeks

Technology stack selection
Database schema design
API architecture planning
Security requirements analysis

Core Development

2 weeks

Frontend component development
Backend API implementation
Database integration
Third-party service integration

Testing & Optimization

2 weeks

Unit and integration testing
Performance optimization
Security testing
User acceptance testing

Impact & Results

Technical achievements and business outcomes

Technical Achievements

Automated schedule generation

Achieved through optimized architecture and efficient algorithms

Certification tracking system

Achieved through optimized architecture and efficient algorithms

Business Impact

Geographic route optimization

Delivered measurable business value

Excel export capabilities

Delivered measurable business value

Technologies & Tools

Modern stack selected for performance and scalability

Next.js 14TypeScriptReact 18Tailwind CSSPrisma ORMSQLite/PostgreSQLLucia AuthHeadless UI

Technical Challenges Solved

Complex problems tackled during development

Scalable architecture design

Performance optimization

User experience design

Security implementation

Industry

Utilities & Water Services

Duration

4 months

Team Size

Solo full-stack development

Client

Electric Service Corporation

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