🔄️ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets — n8n ワークフロー

高 複雑度⚡ トリガー28個のノード🏷️ Miscellaneous👁 199回閲覧作成者：Samir Saci

概要

Tags: Logistics, Supply Chain, Warehouse Operations, Paperless Processes, Inventory Management

Context

Hi! I’m 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

使用ノード

Google SheetsTelegramAI AgentOpenAI Chat ModelStructured Output ParserOpenAI

ワークフロープレビュー

AI Powered Inventory Cycle Count Telegram Bot
How it works
1. The workflow is triggered whenever an operator sends
2. It checks whether the message is a command or a voic
1. Telegram Trigger and message format check
2. Get all the locations not yet counted
3. Transcribe and parse the operator audio co
4. If the location or the quantity is missing
5. If the location is in the scope of the cyc
7. Get all the locations not yet counted
6. Generate help or error message based on th
8. Generate a customised instruction to go th
Tutorial
@youtube
parsermodel
⚡
T
Telegram Trigger
Transcribe Operator Comm…
Model: Information Extra…
Structured Output Parser
T
Transcription Error
Ask to repeat
Update Inventory Quantity
Error Message: Wrong Loc…
Get Location, Qty
C
Command
Collect Remaining Locati…
Collect Audio
C
Command Selection
Help Message
W
Wait
R
Remaining Locations
N
Number of Locations
L
Last Location ?
C
Combine with Location Re…
Wrong Command
I
Is Audio?
Get Locations to Check
E
Extract Location IDs
M
Merge Transcript With Lo…
I
Is Location in Scope?
Send Instruction: Next L…
Send Instruction: Last L…
F
First Location
28 nodes28 edges

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 28 個のノードを流れます, connecting agent, aggregate, googlesheets。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (28)

GO

Google Sheets

googleSheets

#1
TE

Telegram

telegram

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
OP

OpenAI

n8n-nodes-langchain.openAi

#6

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした ai-warehouse-inventory-cycle-count-bot-using-gpt-telegram-and-google-sheets ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け：

{ "name": "🔄️ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets", "nodes": [...], ...}

インテグレーション

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredsetswitchtelegramtelegramtriggerwait

このワークフローを取得

ワンクリックでダウンロード＆インポート

JSONをダウンロードn8n.ioで見る
ノード28
複雑度high
トリガーtrigger
閲覧数199
カテゴリMiscellaneous

作成者

Samir Saci

Samir Saci

@samirsaci

タグ

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredset
⚡

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