🔄️ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets — n8n 工作流

高 复杂度⚡ 触发器28 个节点🏷️ Miscellaneous👁 199 次查看作者：Samir Saci

概览

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

使用的节点

Google SheetsTelegramAI AgentOpenAI Chat ModelStructured Output ParserOpenAI

工作流预览

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

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 28 个节点, connecting agent, aggregate, googlesheets。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (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

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 ai-warehouse-inventory-cycle-count-bot-using-gpt-telegram-and-google-sheets 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

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

集成

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredsetswitchtelegramtelegramtriggerwait

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点28
复杂度high
触发器trigger
查看次数199
分类Miscellaneous

创建者

Samir Saci

Samir Saci

@samirsaci

标签

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredset
⚡

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