Encomeca EC

Inventory App

Inventory management app with AI product identification, barcode scanning, and audit tracking. Features fuzzy search and precise stock counting.

Status

Completed

Year

2025

Timeline

4 months

Project Preview

Technologies Used

Python PostgreSQL Flutter Supabase AI Integration OpenCV

Key Features

AI-powered product identification using computer vision

Advanced barcode scanning with batch processing

Fuzzy search algorithm for product matching

Real-time audit tracking and reporting

Offline-first architecture with sync capabilities

Multi-user role management system

Challenges & Solutions

Training AI models for accurate product identification in various lighting conditions

Implementing efficient offline-first data synchronization

Optimizing barcode scanning performance on low-end devices

Designing intuitive UX for warehouse workers with varying tech skills

Impact & Results

Improved inventory accuracy by 90% and reduced audit time by 60% through AI-powered product identification.

My Role

Mobile App Developer & AI Integration Specialist