ποΈ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets β n8n Workflow
Overview
Tags: Logistics, Supply Chain, Warehouse Operations, Paperless Processes, Inventory Management
Context
Hi! Iβm Samir, Supply Chain Engineer, Data Scientist based in Paris, and founder of LogiGreen.
> Let's use AI with n8n to help SMEs digitalise their logistics operations!
Traditional inventory cycle counts often require clipboards, scanners, and manual reconciliation.
With this workflow, the operator walks through the warehouse, sends voice messages, and the bot automatically updates
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a trigger trigger.
- 2
Process
Data flows through 28 nodes, connecting agent, aggregate, googlesheets.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (28)
Google Sheets
googleSheets
Telegram
telegram
AI Agent
n8n-nodes-langchain.agent
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
n8n-nodes-langchain.outputParserStructured
OpenAI
n8n-nodes-langchain.openAi
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows β New β Import from file.
- 3Select the downloaded
ai-warehouse-inventory-cycle-count-bot-using-gpt-telegram-and-google-sheetsfile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n β Import from JSON:
Integrations
Created by
Samir Saci
@samirsaci
Tags
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