Smart Maple

Our Portfolio

Discover how we've helped businesses transform their operations with custom software solutions. Each project represents our commitment to excellence and innovation.

Oplist – Automated Shift Scheduling for Healthcare
SaaS / Healthcare

Oplist – Automated Shift Scheduling for Healthcare

Cloud-based workforce scheduling that auto-generates fair, compliant shift plans and streamlines operations for hospitals and clinics.

ReactNode.jsPostgreSQL+2

Significant reduction in scheduling time, improved staffing balance, higher team satisfaction

E-Commerce Platform
Web Development

E-Commerce Platform

Full-stack e-commerce solution with inventory management, payment processing, and analytics dashboard.

ReactNode.jsPostgreSQL+1

40% increase in sales, 60% faster checkout process

Healthcare Management System
Web Development

Healthcare Management System

Comprehensive patient management system for healthcare providers with appointment scheduling and medical records.

Vue.jsExpressMongoDB+1

50% reduction in administrative time, improved patient satisfaction

AI-Powered Analytics Dashboard
Data & AI

AI-Powered Analytics Dashboard

Real-time analytics platform with machine learning insights for business intelligence and predictive analytics.

PythonTensorFlowReact+1

90% faster reporting, actionable insights increased revenue by 25%

Mobile Learning App
Mobile Apps

Mobile Learning App

Cross-platform mobile application for online learning with interactive courses and progress tracking.

React NativeFirebaseRedux+1

100k+ downloads, 85% user retention rate

Financial Planning Platform
Web Development

Financial Planning Platform

Secure financial planning tool with portfolio management, risk assessment, and automated reporting.

AngularASP.NETSQL Server+1

Manages $10M+ in assets, 99.9% uptime reliability

IoT Monitoring System
Backend & APIs

IoT Monitoring System

Real-time monitoring system for industrial IoT devices with predictive maintenance and alert systems.

ReactNode.jsInfluxDB+1

30% reduction in downtime, predictive maintenance saves $500k annually

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