Built an AI-powered inventory automation system that processes warehouse requests via Telegram, reducing manual work by 70%.
The client manages a warehouse with thousands of inventory items and processes requests manually.
Users need to check stock availability, locations, and quantities, but the process is slow and requires manual work.
The goal was to automate this process and provide instant access to inventory data through a simple interface.
— Manual inventory checks take too much time
— No fast way to get stock information
— Data is spread across systems
— High risk of human errors
— Difficult to scale operations
Designed and built an end-to-end AI-powered automation system that allows users to query inventory via Telegram.
The system works in real-time and requires no manual intervention.
Key capabilities: — processes text and voice requests
— converts them into structured queries using AI
— retrieves data from the inventory system (InvenTree)
— returns instant responses to the user
Automation workflow for processing inventory requests via Telegram using AI and n8n