Sangrahak

An AI-assisted inventory and depot management system with demand forecasting and stock intelligence.

Sangrahak preview image

About

Sangrahak centralizes SKU tracking, depot operations, stock movement, and inventory visibility in one operational dashboard. It is designed to help teams monitor inventory health and make faster supply decisions.

The forecasting layer uses ARIMA for demand prediction, while classification models such as XGBoost and Random Forest categorize stock levels into low, medium, and high-risk bands. These signals support proactive replenishment and better depot planning.

The platform includes RBAC, real-time WebSocket notifications, AI-generated reports, and Recharts-based analytics for inventory, orders, depots, and stock alerts. MongoDB stores operational data, with FastAPI powering the backend services.

Tech Stack

React
MongoDB
Tailwind CSS
Python
FastAPI
ARIMA
XGBoost
Random Forest
Llama
WebSockets
Recharts
JWT Auth