AI Driven Inventory Management System

AI-Driven Inventory Management System for Hospitality

This cutting-edge inventory management system is designed specifically for restaurants, offering seamless integration with WhatsApp to simplify stock management. By leveraging advanced Large Language Models (LLMs), the system processes videos and photos submitted via WhatsApp to analyze and update stock details effortlessly.

Challenges & Pain Points

1. Manual Stock Counts Took Too Long

Traditional methods were time-consuming and inaccurate, especially with frequent menu and staff changes.

2. Disconnected Systems Led to Errors

Inventory, supplier, POS, and accounting tools operated in silos — causing delays and inconsistencies in reporting.

3. Wasted Stock Due to Overordering

Without proper usage tracking or forecasting, overstocking and food waste were common — directly impacting profit margins.

4. Lack of Visibility Across Multiple Locations

Businesses with more than one restaurant struggled to share stock efficiently or track inventory across sites.

5. High Staff Turnover Created Training Burdens

New staff struggled with learning complex tools — creating dependency on a few trained team members.

The Solution

Backend: Built using Flask with a microservice architecture and SQLAlchemy for scalable and modular backend logic.

Frontend: Developed in React.js , providing optional access to a lightweight admin dashboard and reporting panels.

Database: Powered by Supabase , ensuring secure cloud data storage with realtime capabilities.

AI Modules: Computer vision models handle stock recognition from video, while OCR parses invoice data instantly.

Multi-Location Support: Inventory transfers, shared suppliers, and central reporting allow franchises or chains to operate seamlessly.

Integrations-First: Connects with widely used accounting, POS, and delivery systems to automate reconciliation, order syncing, and cost tracking.

Key Features

1. Media Analysis

Automatically identifies items and their stock levels from photos and videos.

2. POS Integration

Seamless connectivity with popular POS providers like Toast and Uber Eats.

3. Stock Transfers

Facilitates hassle-free stock transfers between multiple restaurant locations.

4. Invoice Management

Streamlined invoice uploads via WhatsApp or the web, with support for Xero and QuickBooks.

Technical Stack

Python

Flask

React.js

PostgreSQL